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8th International Conference on computer Vision Theory and applications, VISAPP 2013

作者： Madhogaria, Satish Schikora, Marek Koch, Wolfgang Dept. Sensor Data and Information Fusion Fraunhofer FKIE Wachtberg Germany Department of Computer Science Technical University of Munich Munich Germany

ISBN: (纸本)9789898565471

Vehicle detection in aerial images plays a key role in surveillance, transportation control and traffic monitoring. It forms an important aspect in the deployment of autonomous Unmanned Aerial System (UAS) in rescue and surveillance missions. In this paper, we propose a two-stage algorithm for efficient detection of cars in aerial images. We discuss how sophisticated detection technique may not give the best result when applied to large scale images with complicated backgrounds. We use a relaxed version of HOG (Histogram of Oriented Gradients) and SVM (Support Vector Machine) to extract hypothesis windows in the first stage. The second stage is based on discriminatively trained part-based models. We create a richer model to be used for detection from the hypothesis windows by detecting and locating parts in the root object. Using a two-stage detection procedure not only improves the accuracy of the overall detection but also helps us take complete advantage of the accuracy of sophisticated algorithms ruling out it's incompetence in real scenarios. We analyze the results obtained from Google Earth dataset and also the images taken from a camera mounted beneath a flying aircraft. With our approach we could achieve a recall rate of 90% with a precision of 94%.

关键词： Support vector machines

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Optimizing interactive performance for desktop-virtualization environment

Optimizing interactive performance for desktop-virtualizatio...

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Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012

作者： Wang, Xiaolin Zhang, Binbin Luo, Yingwei Dept. of Computer Science and Technology Peking University Beijing 100871 China Dept. of Computer Science and Engineering Yunnan University Yunnan 650091 China Shenzhen Key Lab. for Cloud Computing Technology and Applications Peking University Shenzhen Graduate School Guangdong 518055 China

ISBN: (纸本)9783642370144

Full virtualization is vastly applied in desktop virtualization. Although hardware-assisted virtualization greatly improves the performance, the interactive performance is still a bottleneck for full virtualization. Interactive performance is mainly influenced by I/O devices. In one hand, I/O devices are slow device. In another hand, they are often shared by multiple virtual machines through simulation. Our study focuses on the interactive performance optimization, and can mainly be classified into three categories: (1) Targeting multi-core system, we investigate virtual machine deployment to ensure stable performance of the whole system and individual virtual machine. (2) Dynamically adjust the resource among virtual machines based on the individual machine's interactive behavior. (3) Optimize the I/O request scheduler in term of the virtualization implementation. © 2013 Springer-Verlag.

关键词： Virtual machine

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What users care about: A framework for social content alignment

What users care about: A framework for social content alignm...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Hou, Lei Li, Juanzi Li, Xiaoli Qu, Jiangfeng Guo, Xiaofei Hui, Ou Tang, Jie Dept. of Computer Science and Technology Tsinghua University Tsinghua 100084 China Data Analytics Department Institute for Infocomm Research Singapore 138632 Singapore

ISBN: (纸本)9781577356332

With the rapid proliferation of social media, more and more people freely express their opinions (or comments) on news, products, and movies through online services such as forums, discussion groups, and microblogs. Those comments may be concerned with different aspects (topics) of the target Web document (e.g., a news page). It would be interesting to align the social comments to the corresponding subtopics contained in the Web document. In this paper, we propose a novel framework that is able to automatically detect the subtopics from a given Web document, and also align the associated social comments with the detected subtopics. This provides a new view of the Web standard document and its associated user generated content through topics, which facilitates the readers to quickly focus on those hot topics or grasp topics that they are interested in. Extensive experiments show that our proposed framework significantly outperforms the existing state-of-the-art methods in social content alignment.

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Encrypted traffic and IPsec challenges for intrusion detection system

Encrypted traffic and IPsec challenges for intrusion detecti...

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International Conference on Advances in Computing, ICAdC 2012

作者： Kumar, Manish Hanumanthappa, M. Suresh Kumar, T.V. Dept. of MCA M S Ramaiah Institute of Technology MSRIT Post Bangalore 560 054 India Dept. of Computer Science and Applications Jnana Bharathi Campus Bangalore University Bangalore 560 056 India

ISBN: (纸本)9788132207399

Now a day IPsec has now become a standard information security technology throughout the Network and Internet society. It provides confidentiality, authentication, integrity, secure key exchange and protection mechanism though encrypting a packet. The use of IPsec, which encrypts network traffic, renders network intrusion detection, virtually useless, unless traffic is decrypted at network layer. In this paper we are discussing that how a IPSec or other encryption techniques create challenges for Intrusion Detection System. © 2013 Springer.

关键词： Network layers

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Prediction of customer buying nature from frequent itemsets generation using quinemccluskey method 4

Prediction of customer buying nature from frequent itemsets ...

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IET Chennai 4th International Conference on Sustainable Energy and Intelligent Systems, SEISCON 2013

作者： Krishnamurthy, M. Rajalakshmi, E. Baskaran, R. Kannan, A. Dept. of Computer Science and Engineering KCG College of Technology Chennai Tamil Nadu India Dept. of Master of Computer Applications Sri Venkateswara College of Engineering Pennalur Sriperumbudur602 105 India Department of Computer Science and Engineering Anna University Chennai600 025 India Department of Information Science and Technology Anna University Chennai600 025 India

ISBN: (纸本)9781785610301

Finding frequent itemsets is one of the most important fields of data mining and also finding the rules associated with the itemset is another important ground in association rule mining. The process of finding new techniques to reduce candidate generation in order to generate frequent itemsets efficiently is a challenging task and generating rules in order to know the purchase behaviour of the customer to improve the business. In this paper, an efficient and optimized algorithm called Customer Purchase Behaviour (CPB) has been introduced for finding frequent itemsets using minimum scans, time and memory and the rules are generated. The subset invention process is used for the generation of frequent itemsets which reduces the intermediate tables. This approach reduces main memory requirement since it considers only a small cluster at a time. The purchase behaviour of the customer can be easily judged by using the Quine-McCluskey method. This algorithm is very efficient because of redundancy elimination and rule generation then compared with Apriori, Cluster-Based Bit Vector Mining for Association Rule Generation (CBVAR) and Improved Cluster-based Bit vector mining algorithm for Frequent Itemsets Generation (ICBV).

关键词： data mining

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DWT-Based Multi-Adaptive Image coding for Frame Memory Reduction in LCD Overdrive

DWT-Based Multi-Adaptive Image coding for Frame Memory Reduc...

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2013 IEEE RIVF International Conference on Computing and Communication Technologies: Research, Innovation, and Vision for Future, RIVF 2013

作者： Huu, Tai Nguyen Thi, Hoang-Lan Nguyen Dinh, Chon-Tam Le Dept. of Information Technology Hue Univ. and Hanoi Univ. of Science and Technology Hue Viet Nam Dept. of Data Communications and Computer Networks Hanoi Univ. of Science and Technology Hanoi Viet Nam Department of Electrical and Computer Engineering Sherbrooke University Sherbrooke Canada

ISBN: (纸本)9781479913503

In this paper, DWT-Based Multi-Adaptive Image Coding (DBMAIC) is proposed to increase compression performance for Frame Memory Reduction in LCD Overdrive. The DBMAIC development is based on DWT-Based Adaptive Mode Selection (DAMS)[9] integrated with Adaptive-Threshold Technique (ATT). ATT is proposed to reduce blocking effect and increase adaptability of DAMS. Experimental results show that the performance of the proposed method is much better than DAMS and that of conventional schemes. © 2013 IEEE.

关键词： Discrete wavelet transforms

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Scalable intrusion detection systems log analysis using cloud computing infrastructure

Scalable intrusion detection systems log analysis using clou...

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IEEE International Conference on Computational Intelligence and Computing Research

作者： Manish Kumar M. Hanumanthappa Department of Computer Science and Applications Bangalore University Bangalore INDIA Dept. of Computer Science and Applications Bangalore University Bangalore INDIA

An intrusion detection system (IDS) monitors network traffic and monitors for suspicious activity and alerts the system or network administrator. It identifies unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators. Intrusion detection systems (IDS) are essential components in a secure network environment, allowing for early detection of malicious activities and attacks. By employing information provided by IDS, it is possible to apply appropriate countermeasures and mitigate attacks that would otherwise seriously undermine network security. However, current high volumes of network traffic overwhelm most IDS techniques requiring new approaches that are able to handle huge volume of log and packet analysis while still maintaining high throughput. Hadoop, an open-source computing platform of MapReduce and a distributed file system, has become a popular infrastructure for massive data analytics because it facilitates scalable data processing and storage services on a distributed computing system consisting of commodity hardware. The proposed architecture is able to efficiently handle large volumes of collected data and consequent high processing loads using Hadoop, MapReduce and cloud computing infrastructure. The main focus of the paper is to enhance the throughput and scalability of the IDS Log analysis. Once enough data is gathered, it is necessary to rapidly analyze it and determine whether any attacks or malicious activities are present, which is the main issue that impacts IDS performance.

关键词： Intrusion detection Cloud computing IP networks File systems computers computer architecture Telecommunication traffic

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Cherenkov telescope array data management 34

Cherenkov telescope array data management

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34th International Cosmic Ray Conference, ICRC 2015

作者： Lamanna, G. Antonelli, L.A. Contreras, J.L. Knödlseder, J. Kosack, K. Neyroud, N. Aboudan, A. Arrabito, L. Barbier, C. Bastieri, D. Boisson, C. Brau-Nogué, S. Bregeon, J. Bulgarelli, A. Carosi, A. Costa, A. De Cesare, G. De Los Reyes, R. Fioretti, V. Gallozzi, S. Jacquemier, J. Khelifi, B. Kocot, J. Lombardi, S. Lucarelli, F. Lyard, E. Maier, G. Massimino, P. Osborne, J.P. Perri, M. Rico, J. Sanchez, D.A. Satalecka, K. Siejkowski, H. Stolarczyk, T. Szepieniec, T. Testa, V. Walter, R. Ward, J.E. Zoli, A. LAPP Université de Savoie Mont-Blanc CNRS/IN2P3 Annecy-le-VieuxF-74941 France INAF - Osservatorio Astronomico di Roma Via Frascati 33 Monte Porzio CatoneI-00040 Italy ASI Science Data Center Via del Politecnico s.n.c. RomeI-00133 Italy Grupo de Altas Energías Universidad Complutense de Madrid Spain IRAP 9 avenue du Colonel Roche Toulouse31028 France CEA Saclay - Irfu/SAp - Orme des Merisiers Bât. 709 Gif-sur-Yvette Cedex91191 France INAF/IASF Via Piero Gobetti 101 Bologna40129 Italy LUPM CNRS-IN2P3 Place Eugéne Bataillon - CC 72 Montpellier34095 France Dipartimento di Fisica Universita degli Studi di Padova Italy Observatoire de Paris LUTH CNRS Université Paris Diderot Paris France INAF - Osservatorio Astrofisico di Catania Via S.Sofia 78 Catania95123 Italy Max-Planck-Institut für Kernphysik Saupfercheckweg 1 Heidelberg69117 Germany APC IN2P3/CNRS Université Paris-Diderot Paris France Academic Computer Centre CYFRONET AGH Kraków Poland ISDC University of Geneva Switzerland Deutsches Elektronen-Synchrotron Platanenallee 6 Zeuthen Germany Dept. of Physics and Astronomy University of Leicester LeicesterLE1 7RH United Kingdom 08193 Spain

Very High Energy gamma-ray astronomy with the Cherenkov Telescope Array (CTA) is evolving towards the model of a public observatory. Handling, processing and archiving the large amount of data generated by the CTA instruments and delivering scientific products are some of the challenges in designing the CTA data Management. The participation of scientists from within CTA Consortium and from the greater worldwide scientific community necessitates a sophisticated scientific analysis system capable of providing unified and efficient user access to data, software and computing resources. data Management is designed to respond to three main issues: (i) the treatment and flow of data from remote telescopes;(ii) 'big-data' archiving and processing;(iii) and open data access. In this communication the overall technical design of the CTA data Management, current major developments and prototypes are presented.

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Upper Bounding Overlaps by Groupings

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2013年 228卷 355-365页

作者： Madrid, Nicolás Barrenechea, Edurne Bustince, Humberto Fernadez, Javier Perfilieva, Irina Institute for Research and Applications of Fuzzy Modeling University of Ostrava 30. dubna 22 Ostrava 1701 03 Czech Republic Dept. Computer Science and Artificial Intelligence Public University of Navarra C/ Arrosadía s/n Pamplona31006 Spain

ISBN: (纸本)9783642391644

This paper focuses on determining conditions to ensure that certain overlaps are less than or equal to certain groupings. We also show that the meaning of such conditions is connected with the use of overlaps and groupings in image processing. Hence we present some results that are connected with the mentioned goal and formulated by using the notions of f -bound overlap and f -bound grouping. © 2013, Springer-Verlag Berlin Heidelberg.

关键词： Image processing

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A dominating set based approach to identify effective leader group of social network

A dominating set based approach to identify effective leader...

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19th International Computing and Combinatorics Conference, COCOON 2013

作者： Kim, Donghyun Li, Deying Asgari, Omid Li, Yingshu Tokuta, Alade O. Dept. of Mathematics and Computer Science North Carolina Central University Durham NC 27707 United States Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Renmin 100872 China Dept. of Computer Science Georgia State University Atlanta GA 30303 United States

ISBN: (纸本)9783642387678

Very recently, the study of social networks has received a huge attention since we can learn and understand many hidden properties of our society. This paper investigates the potential of social network analysis to select an effective leadership group of a society. Based on our real life observation, we establish three essential requirements for an effective leadership group, namely Influenceability, Partisanship, and Bipartisanship. Then, we formulate the problem of finding a minimum size leader group satisfying the three requirements as the minimum connected k-core dominating set problem (MCkCDSP), and show its NP-hardness. In addition, we introduce an extension of MCkCDSP, namely MCkCDSP-C, which assumes the society has a number of communities and requires at least one representative from each community should be in the leadership. At last, we propose an approximation algorithm for a subclass of MCkCDSP with k = 2, and show an α-approximation algorithm of MCkCDSP can be used to obtain an α-approximation algorithm of MCkCDSP-C. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Approximation algorithms

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