Miniature sensors are already used in many body-attached devices and are most recently also integrated into various sport equipment. A combination of body attached sensor devices and sensors integrated into the sport equipment, together with an adequate sensor fusion algorithms, can help with developing better sport's gear, speed up the learning process and finally improve the skill level. The paper presents our experience in designing the smart sport equipment for alpine skiing. A prototype system SmartSKI was functionally tested and verified by a group of alpine skiing experts.
{"title":"SmartSKI: Application of Sensors Integrated into Sport Equipment","authors":"A. Umek, A. Kos, S. Tomažič","doi":"10.1109/IIKI.2016.101","DOIUrl":"https://doi.org/10.1109/IIKI.2016.101","url":null,"abstract":"Miniature sensors are already used in many body-attached devices and are most recently also integrated into various sport equipment. A combination of body attached sensor devices and sensors integrated into the sport equipment, together with an adequate sensor fusion algorithms, can help with developing better sport's gear, speed up the learning process and finally improve the skill level. The paper presents our experience in designing the smart sport equipment for alpine skiing. A prototype system SmartSKI was functionally tested and verified by a group of alpine skiing experts.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115142978","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}
Scientific and technical information analysis is important for the development of science and technology. Information analysis and decision-making pay more attention to scientific and technical research events than the content of literature, so it is necessary to find and extract scientific and technical research events from the massive scientific and technical literature for information analysis. In this paper, we study the scientific literature-oriented event representation models. Our contribution is that we propose an event representation approach for representing scientific and technical research events based on literature.
{"title":"Literature-Based Scientific Research Event Model","authors":"Junsheng Zhang, Changqing Yao, Yunchuan Sun","doi":"10.1109/IIKI.2016.76","DOIUrl":"https://doi.org/10.1109/IIKI.2016.76","url":null,"abstract":"Scientific and technical information analysis is important for the development of science and technology. Information analysis and decision-making pay more attention to scientific and technical research events than the content of literature, so it is necessary to find and extract scientific and technical research events from the massive scientific and technical literature for information analysis. In this paper, we study the scientific literature-oriented event representation models. Our contribution is that we propose an event representation approach for representing scientific and technical research events based on literature.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126750396","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}
Live Migration, which moves a running virtual machine between different physical machines without disconnecting clients or applications, brings great flexibility in the cloud computing environment. The pre-copy strategy, as the main mechanism for the live migration, cannot work well when dirty memory pages are largely generated because of frequent update operations. In this paper, we propose a novel pre-copy strategy to reduce the total migration time and the total transferred data. The key idea is to compute the frequency of each dirty page based on historical and current statistics data. A dirty page will be transferred only when its transfer weight is not greater than a predefined threshold, otherwise its transfer will be delayed. The experiment results show that the optimized strategy can significantly reduce the total transferred data and the total migration time.
{"title":"A New Pre-copy Strategy for Live Migration of Virtual Machines","authors":"Hongliang Liang, Hao Dai, Xiaoxiao Pei, Qiong Zhang","doi":"10.1109/IIKI.2016.45","DOIUrl":"https://doi.org/10.1109/IIKI.2016.45","url":null,"abstract":"Live Migration, which moves a running virtual machine between different physical machines without disconnecting clients or applications, brings great flexibility in the cloud computing environment. The pre-copy strategy, as the main mechanism for the live migration, cannot work well when dirty memory pages are largely generated because of frequent update operations. In this paper, we propose a novel pre-copy strategy to reduce the total migration time and the total transferred data. The key idea is to compute the frequency of each dirty page based on historical and current statistics data. A dirty page will be transferred only when its transfer weight is not greater than a predefined threshold, otherwise its transfer will be delayed. The experiment results show that the optimized strategy can significantly reduce the total transferred data and the total migration time.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"122 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114046431","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}
Chengming Qi, Zhangbing Zhou, Qun Wang, Lishuan Hu
Feature selection approaches aim to maximize relevance and minimize redundancy to the target by selecting a small subset of features in classification. This paper proposes a feature selection method based on mutual information (MI). We select a feature subset with minimal redundancy maximal relevance criteria. Multiple kernel learning (MKL) and ensemble learning (EL) have been applied in hyperspectral image classification. Our method applies Adaptive Boosting (AdaBoost) approach to learning multiple kernel-based classifier for multi-class classification problem. Classification experiments with a challenging Hyperspectral imaging (HSI) task demonstrate that our approach outperforms current state-of-the-art HSI classification methods.
{"title":"Mutual Information-Based Feature Selection and Ensemble Learning for Classification","authors":"Chengming Qi, Zhangbing Zhou, Qun Wang, Lishuan Hu","doi":"10.1109/IIKI.2016.81","DOIUrl":"https://doi.org/10.1109/IIKI.2016.81","url":null,"abstract":"Feature selection approaches aim to maximize relevance and minimize redundancy to the target by selecting a small subset of features in classification. This paper proposes a feature selection method based on mutual information (MI). We select a feature subset with minimal redundancy maximal relevance criteria. Multiple kernel learning (MKL) and ensemble learning (EL) have been applied in hyperspectral image classification. Our method applies Adaptive Boosting (AdaBoost) approach to learning multiple kernel-based classifier for multi-class classification problem. Classification experiments with a challenging Hyperspectral imaging (HSI) task demonstrate that our approach outperforms current state-of-the-art HSI classification methods.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248398","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}
Smart Grid deploys wildly lots of sensors for various applications to sense operation environment, monitor production process and realize the automation control etc. However, due to the wireless and open communication, the electromagnetic phenomena in the communication and the electric network of the sensor networks usually produce the mutual interference. Electrical equipment and sensors are usually in high pressure electromagnetic environment. It is very important to ensure the reliability and stability in smart grid applications. Therefore, these sensing and communication devices must be tested through the equal parameter simulation environment under strict evaluation and verification, and they can be put to use in actual production operation system. In this paper, we analyze the application of wireless sensor networks in smart grid, and propose a novel test method and evaluation mechanism for the interaction of wireless sensor network and smart grid.
{"title":"Testing and Evaluation of the Impact Sensor Networks for Power Distribution and Utilization in Smart Grid","authors":"Yiying Zhang, Lin Hou, Kun Liang, Bo Zhang","doi":"10.1109/IIKI.2016.109","DOIUrl":"https://doi.org/10.1109/IIKI.2016.109","url":null,"abstract":"Smart Grid deploys wildly lots of sensors for various applications to sense operation environment, monitor production process and realize the automation control etc. However, due to the wireless and open communication, the electromagnetic phenomena in the communication and the electric network of the sensor networks usually produce the mutual interference. Electrical equipment and sensors are usually in high pressure electromagnetic environment. It is very important to ensure the reliability and stability in smart grid applications. Therefore, these sensing and communication devices must be tested through the equal parameter simulation environment under strict evaluation and verification, and they can be put to use in actual production operation system. In this paper, we analyze the application of wireless sensor networks in smart grid, and propose a novel test method and evaluation mechanism for the interaction of wireless sensor network and smart grid.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114265290","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}
Da-peng Chen, Hongmei Zhang, Xiangli Zhang, Demin Wang
In this paper, for sharing the security knowledge of smart phone applications and detecting the malicious applications, one new method was put forward based on ontology technology which considered permissions and system calls information with JESS inference engine. In order to get final feature information list and define SWRL rules, this paper extracted and analyzed permissions and system calls information which were significant and representative ones. The constructed application ontology referred to application domain knowledge including permissions and system calls etc. so that explicit and tacit knowledge could be shared. By selecting defined SWRL rules and running JESS inference engine, this paper demonstrated that our detection method could effectively classify malware and benign. Experimental results showed that the accuracy reached 95.89%. Moreover, through a comparative analysis, it could be seen that the application security detection based on ontology method outperformed two existing Android malware detection schemes for combining two characteristic information-permissions and system calls.
{"title":"Android Malicious Application Detection Based on Ontology Technology Integrated with Permissions and System Calls","authors":"Da-peng Chen, Hongmei Zhang, Xiangli Zhang, Demin Wang","doi":"10.1109/IIKI.2016.56","DOIUrl":"https://doi.org/10.1109/IIKI.2016.56","url":null,"abstract":"In this paper, for sharing the security knowledge of smart phone applications and detecting the malicious applications, one new method was put forward based on ontology technology which considered permissions and system calls information with JESS inference engine. In order to get final feature information list and define SWRL rules, this paper extracted and analyzed permissions and system calls information which were significant and representative ones. The constructed application ontology referred to application domain knowledge including permissions and system calls etc. so that explicit and tacit knowledge could be shared. By selecting defined SWRL rules and running JESS inference engine, this paper demonstrated that our detection method could effectively classify malware and benign. Experimental results showed that the accuracy reached 95.89%. Moreover, through a comparative analysis, it could be seen that the application security detection based on ontology method outperformed two existing Android malware detection schemes for combining two characteristic information-permissions and system calls.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114424372","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}
With the internal pressure is bigger than the external, the folded membrane object gradually inflate and form into the ball, column, cone and other original shapes. In the inflating process, the optical characteristics of the object changes obviously. Combined with finite element analysis method, the geometry is divided into a plurality of surface element. Analyze the stress of different surface elements, establish the force balance equation of different elements, research on the motion of element in the expansion, form the geometry parametric inflating model. On the basis of the model, the time dependent optical characteristics of the geometry in the inflating process are studied.
{"title":"Modeling Research on the Optical Characteristics of Membrane Object Inflating","authors":"Zheng Li, Mao Hongxia, Ni Xiaochuan, Wu Kai-feng","doi":"10.1109/IIKI.2016.79","DOIUrl":"https://doi.org/10.1109/IIKI.2016.79","url":null,"abstract":"With the internal pressure is bigger than the external, the folded membrane object gradually inflate and form into the ball, column, cone and other original shapes. In the inflating process, the optical characteristics of the object changes obviously. Combined with finite element analysis method, the geometry is divided into a plurality of surface element. Analyze the stress of different surface elements, establish the force balance equation of different elements, research on the motion of element in the expansion, form the geometry parametric inflating model. On the basis of the model, the time dependent optical characteristics of the geometry in the inflating process are studied.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127013699","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}
Xiang Xu, Lu Wang, Yanning Xu, Chenglei Yang, Xiangxu Meng
As an excellent global illumination algorithm, photon mapping requires a large amount of memory to store photons, and it has obvious spatial locality in the step of photon searching. In this paper, we propose a distributed photon mapping algorithm. Firstly, a new delivering strategy of rendering tasks is proposed based on the ray intersection, while path tracing is used to calculate the direct illumination. Before the rendering, our work automatically synchronizes the acceleration of geometries and photons to realize data partitioning. Secondly, an overlapped KD-Tree is proposed to store photons in order to solve the problem of boundary data merging. The method of this paper is tested using multiple scenes. With ensuring good rendering results, both the rendering speed and storage load obtain the linearly optimization.
{"title":"Distributed Global Illumination Method Based on Photon Mapping","authors":"Xiang Xu, Lu Wang, Yanning Xu, Chenglei Yang, Xiangxu Meng","doi":"10.1109/IIKI.2016.68","DOIUrl":"https://doi.org/10.1109/IIKI.2016.68","url":null,"abstract":"As an excellent global illumination algorithm, photon mapping requires a large amount of memory to store photons, and it has obvious spatial locality in the step of photon searching. In this paper, we propose a distributed photon mapping algorithm. Firstly, a new delivering strategy of rendering tasks is proposed based on the ray intersection, while path tracing is used to calculate the direct illumination. Before the rendering, our work automatically synchronizes the acceleration of geometries and photons to realize data partitioning. Secondly, an overlapped KD-Tree is proposed to store photons in order to solve the problem of boundary data merging. The method of this paper is tested using multiple scenes. With ensuring good rendering results, both the rendering speed and storage load obtain the linearly optimization.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130152093","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}
In this paper, we address the low efficiency of cluster-based communication for the crossroad scenario in VANETs, which is due to the overload of the cluster head resulting from a large number of transmission bandwidth requirements. We model this issue as a coalition formation game and propose a coalition-based clustering strategy that converges into a Nash-stable partition to accomplish the clustering formation process. In the proposed strategy, the coalition utility is formulated by the relative velocity, relative position and the bandwidth availability ratio of vehicles among the cluster. Employing the coalition utility, the vehicles are denoted as the nodes that make decision whether to switch to a new coalition or stay in the current coalition. Based on this, we can make full use of the bandwidth provided by cluster head under the requirement of clustering stability. Numerical simulation results show that our strategy takes on a better performance for the tradeoff between stability and efficiency of clustering communication.
{"title":"Coalition Game-Based Clustering Strategy for Crossroads in VANETs","authors":"Yan Huo, Wei Dong, Jinlong Qian, Tao Jing","doi":"10.1109/IIKI.2016.17","DOIUrl":"https://doi.org/10.1109/IIKI.2016.17","url":null,"abstract":"In this paper, we address the low efficiency of cluster-based communication for the crossroad scenario in VANETs, which is due to the overload of the cluster head resulting from a large number of transmission bandwidth requirements. We model this issue as a coalition formation game and propose a coalition-based clustering strategy that converges into a Nash-stable partition to accomplish the clustering formation process. In the proposed strategy, the coalition utility is formulated by the relative velocity, relative position and the bandwidth availability ratio of vehicles among the cluster. Employing the coalition utility, the vehicles are denoted as the nodes that make decision whether to switch to a new coalition or stay in the current coalition. Based on this, we can make full use of the bandwidth provided by cluster head under the requirement of clustering stability. Numerical simulation results show that our strategy takes on a better performance for the tradeoff between stability and efficiency of clustering communication.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132864775","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}
With the increasing popularity of smart devices and the rapid development of Internet of things technology, more and more devices need to be connected to Internet to provide better service for users. How to connect smart devices to cloud platform and get better cloud service is an important problem. Problems existing in the existing platform, such as connecting devices process complex and constrained cloud services. This paper presents a connecting framework of smart devices based on Linux container technology, each of these smart devices corresponds to a Docker container in the cloud, the services required by smart devices are packaged in the corresponding Docker image, Developers can define the required services and ignore whether or not be supported by the platform. Smart devices can be connected to this platform by implementing a rest-based web service.
{"title":"Connecting Framework of Smart Devices Based on Linux Container Technology","authors":"Li-ping Quan, Zhiliang Wang, Xin Liu","doi":"10.1109/IIKI.2016.63","DOIUrl":"https://doi.org/10.1109/IIKI.2016.63","url":null,"abstract":"With the increasing popularity of smart devices and the rapid development of Internet of things technology, more and more devices need to be connected to Internet to provide better service for users. How to connect smart devices to cloud platform and get better cloud service is an important problem. Problems existing in the existing platform, such as connecting devices process complex and constrained cloud services. This paper presents a connecting framework of smart devices based on Linux container technology, each of these smart devices corresponds to a Docker container in the cloud, the services required by smart devices are packaged in the corresponding Docker image, Developers can define the required services and ignore whether or not be supported by the platform. Smart devices can be connected to this platform by implementing a rest-based web service.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"61 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132942893","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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