{"title":"Trust-based ad hoc on-demand multipath distance vector routing in MANETs","authors":"Dejian Wei, Hui Cao, Zhiyuan Liu","doi":"10.1109/ISCIT.2016.7751623","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751623","url":null,"abstract":"Mobile Ad-hoc networks (MANETs) are self-organizing multi-hop wireless networks composed of independent mobile nodes. Due to the characteristics of dynamic topology and limited resources, MANETs are vulnerable to attacks from malicious nodes. However, traditional security policies with encryption and authentication cannot be well suited for MANETs, because of absence of trusted third party. In order to decrease hazards from malicious nodes, the concept of trust has been introduced to MANETs. In this paper, we first propose a novel trust model, in which nodes calculate trust value according to multiple events including historical interactions, interactions context factors and recommendations from neighbor nodes. Then the model is introduced into AOMDV, forming a novel trusted multipath routing protocol, termed as Trust-based Ad Hoc On-demand Multipath Distance Vector protocol (TAOMDV). The TAOMDV provides a flexible way to select the shortest path or multiple shortest paths from all trust satisfied paths to balance load. Experiments show that TAOMDV improves significantly in network loss ratio and average end-to-end latency.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116277135","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}
{"title":"A joint abnormal event detection scheme based on compressed sensing for Internet of Things","authors":"Xuan Sun, Xin Gao, Chen Li","doi":"10.1109/ISCIT.2016.7751684","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751684","url":null,"abstract":"In order to improve the efficiency of abnormal event detection for Internet of Things, this paper proposes an abnormal event detection scheme based on compressed sensing. Due to the low energy consumption target constraints, the cluster-head often has no ability to collect all the data of the terminal nodes. Therefore, a sparse model of terminal nodes is proposed, which is applied to the WSNs scenario. When the number of nodes to be collected is far beyond the ability to collect data, the sparse model is used to propose a distributed abnormal event detection scheme. Each cluster-head uses the compressed sensing method to collect the data. During the procedure, data collection rules are in accordance with the sparse parity check matrix of LDPC code. In the fusion center, the compressed sensing equations of these cluster-heads will be combined into a complete equation. Then the Message Passing algorithm based on Tanner Graph is used to reconstruct the abnormal event sensing results of the sensor nodes.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133536277","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}
{"title":"SDN based ICN architecture for the future integration network","authors":"Y. Zhang, Ying Wang","doi":"10.1109/ISCIT.2016.7751677","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751677","url":null,"abstract":"As the number of users exponentially grows in the 5G mobile wireless environment, mobility support, flexibility reaction and integration are the major changes for the future satellite and terrestrial integrated network. Information-centric networking (ICN) and software defined networking (SDN) are considered to be the promising techniques to solve these problems. In this paper, a SDN-based ICN architecture for the satellite terrestrial integration network is proposed to achieve seamless communication and provide assured quality of service (QoS). Particularly, the features characterized the proposed architecture, advantages and the challenges when ICN and SDN are applied to the future satellite and terrestrial integrated network are discussed.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131535039","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}
{"title":"A coplanar multi-band bow-tie antenna based on split ring resonator","authors":"Ridha Salhi, M. Labidi, F. Choubani","doi":"10.1109/ISCIT.2016.7751701","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751701","url":null,"abstract":"In this paper we propose a new design of multiband coplanar antenna based on split ring resonator (SRR), which can be used for several applications. Into the top layer of antenna substrate, two gaps with the shape of a bow-tie rounded are printed symmetrically. Then, we investigate the properties of SRR to improve the performances of the antenna. The proposed antenna covers many frequency namely 1.93 GHz to 2.12 GHz, 2.63 GHz to 2.7 GHz and 3.26 GHz to 3.53 GHz. Its performances are analyzed in terms of reflection coefficient S11, gain and radiation patterns.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"39 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132639536","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}
Zhenjing Yao, Y. Fan, Li Hong, Zhiming Han, Yanan Li, Qiang Gao, Juan Meng
{"title":"Finite element analysis and design of short period seismometer beam reed","authors":"Zhenjing Yao, Y. Fan, Li Hong, Zhiming Han, Yanan Li, Qiang Gao, Juan Meng","doi":"10.1109/ISCIT.2016.7751663","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751663","url":null,"abstract":"The measurement performance of seismometer is affected by the natural frequency of beam reed which is the sensitive element of short period seismometer. In order to design the beam reed of seismometer, the finite element model was established used the ANSYS and SOLIDWORKS. From the simulation data, the relationship between vibration pickup reed cross-sectional area and its natural frequency were analyzed. The sensitive element designed by the model obtains the center frequency of 6.1974Hz. Comparing the theory model and the need of design, the error is 3.29%, can meet the requirements of short period seismometer performance requirements.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181994","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}
{"title":"A movie cold-start recommendation method optimized similarity measure","authors":"Peng Yi, Chen Yang, Xiaoming Zhou, Chen Li","doi":"10.1109/ISCIT.2016.7751627","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751627","url":null,"abstract":"With the explosion of Internet information, recommender system plays an increasingly important position in online video searching. Collaborative filtering technique the most popular recommendation algorithm is inefficient in cold-start scenario. In this paper, we focus on new movie cold start problem and aim to bridge the gap between movie labels and movie similarity. A useful approach is proposed to optimize the movie similarity measure by computing the similarities among directors and actors. We verify the usefulness of our method on MovieLens-1M data sets. The experiments show that our method has a significant improvement on movie cold start problem.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132823293","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}
{"title":"Application of meteorological big data","authors":"Xi Guo","doi":"10.1109/ISCIT.2016.7751635","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751635","url":null,"abstract":"The abundant aspects of big data and it's technology are increasing due to new methods of fetching data and diverse needs. Meteorological data is also the source of big data in terms of volume, variety, veracity and velocity, and it includes structured, unstructured and hybrid forms. This paper aims to apply Hadoop architecture and MapReduce algorithm into meteorological big data. It also describes the difficult situations of dealing complex meteorological data by present computer systems and how we replace it with distributed computing. Automatic text classification is used to divide the text into predefined classes, which help individuals utilize information with an effective method. This paper gives an idea about how to implement meteorological text classification through big data approach. Traditional text classification requires a high cost of domain knowledge, but it has low classification efficiency, which can't satisfy the requirement of large documents processing. Distributed parallel method is well developed to solve the problem of a large number of documents classification. Finally, this paper describes big data applications of meteorological big data combined with agriculture, transportation and power grid industries, and illustrates how we analyze tourism industry by our meteorological tourism big data platform.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"81 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040603","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}
{"title":"Design and application on metadata management for information supply chain","authors":"Runsha Dong, Fei Su, Shan Yang, Lexi Xu, Xinzhou Cheng, Weiwei Chen","doi":"10.1109/ISCIT.2016.7751658","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751658","url":null,"abstract":"With the development of information technology, managers of enterprises pay attention to how to make decisions with a large scale of data stored in data warehouse. Data ware-house is an important component in Information Supply Chain. For an efficient infor-mation flow running through the Information Supply Chain, metadata and its management system guarantee the high quality of data sharing. In this paper, metadata and its manage-ment system are illustrated from several aspects. A framework and an implementation of metadata management system are proposed to give guidance for enterprises. Finally, the prospect of application on metadata management is concluded.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121396501","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}
{"title":"Cyclostationary feature based spectrum sensing via low-rank and sparse decomposition in cognitive radio networks","authors":"Jincai Du, Hai Huang, Xiaojun Jing, Xuqi Chen","doi":"10.1109/ISCIT.2016.7751706","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751706","url":null,"abstract":"Spectrum sensing is a key component in cognitive radio networks, which allows secondary users to communicate without causing harmful interference to primary users. Cyclostationary feature based spectrum sensing has proven preferable to other methods under low signal-to-noise ratio conditions. To detect the presence of primary signals, conventional cyclostationary feature based schemes tend to simply compare the values of signal features to a predefined threshold. However, such schemes would lead to dramatic performance degradation when signal features are overwhelmed by noise. This paper proposes a novel scheme that applies the low-rank and sparse decomposition technique to cyclostationary feature based spectrum sensing. The spectrum correlation function matrix is decomposed into two matrices, of which the low-rank one represents noise and interference while the sparse one represents cyclostationary features of PU signal. Subsequently, the scheme takes advantage of the signal features in the sparse matrix to determine the presence of PU signal. Simulation results have demonstrated the superiority of our proposed scheme in terms of detection probability and false alarm probability.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128612882","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}
Dezhi Kong, Yang Yang, Yunxia Liu, Min Li, Hongying Jia
{"title":"Effective 3D face depth estimation from a single 2D face image","authors":"Dezhi Kong, Yang Yang, Yunxia Liu, Min Li, Hongying Jia","doi":"10.1109/ISCIT.2016.7751625","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751625","url":null,"abstract":"In this paper, we proposed an efficient framework for depth estimation from a single 2D face image to apply in 3D face reconstruction. The proposed framework consists of three components. Firstly, we recover the corresponding 2D images from 3D face models of database, and the feature points of these images will be extracted to form the 2D-3D database. Secondly, the same feature points extraction steps are executed to the test 2D image. Finally, according to the similarity of the triangles of the feature points between the test image and 2D-3D database, the depth of the test 2D face will be recovered. The experimental results show that the proposed method can estimate depth from a single 2D face image efficiently and robustly.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125239020","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}