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Scope of Cloud computing for Multimedia Application 1

引用

1st international conference on Internet computing and Information Communications (ICICIC)

作者： Vijay, Uttam Awasthi, Lalit Kumar Natl Inst Technol Hamirpur India

ISBN: (纸本)9788132212980;9788132212997

The paper deals with most recent emerging computing technology cloud computing and how it can be used for multimedia application. With so many sources of data having multimedia features, the amount of data needed to be processed have increased significantly and alarmingly. So processing these data on the system itself is becoming very inefficient due to limited resources of the system especially in case of mobile device with limited memory and battery life. So this paper tries to analyze whether the concept of cloud computing can be implemented for processing and storing data related to multimedia application and if yes then what are the difficulties which could arise.

关键词： Cloud computing Service level agreement Multimedia on cloud Media edge cloud computing

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An intelligent Admission Control Framework for Composite Services 21

An Intelligent Admission Control Framework for Composite Ser...

引用

21st IEEE international conference on Web Services (ICWS)

作者： Liu, ZhiZhong Hai, Yan Henan Polytech Univ Coll Comp Sci & Technol Jiaozuo Henan Peoples R China North China Univ Water Resources & Elect Power Zhengzhou Peoples R China

ISBN: (纸本)9781479950546

Web service composition is a new technology for creating value-added services in the dynamic network environment and implies great application value, with the rapid development of Web services and Cloud computing, composite service requests are growing sharply. However, how service integrators intelligently to handle continuous arrival of composite service requests, ensure service quality of existing users while improving resource utilization is a challenge for urgent solution. This paper provides an intelligent admission control framework for composite services, which mainly including three aspects: Firstly, it proposes a global QoS constraints optimal decomposition method which decomposes global QoS constraints into local QoS constraints that each task in the composition process should satisfy, this step provides critical basis for admission judgment;Secondly, it proposes a reliable admission judgment method based on QoS dynamic prediction and QoS interference estimation, this method can improve the reliability of admission control. Finally, it provides a context-aware service resource adaptive scheduling method for assigning the most suitable resource to the new accepted request so as to improve the utilization of the whole service resources. Our study aims to reveal the general rules of admission control for composite service, provide methods to improve the quality of composite service and increase the utilization of the whole service resource.

关键词： Admission Control Composite Service Constraint Decompostion QoS Prediction Resource Scheduling

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A Network Survivability Approach to Resist Access Point Failure in IEEE 802.11 WLAN 1

引用

1st international conference on Internet computing and Information Communications (ICICIC)

作者： Bhoi, Sourav Kumar Panda, Sanjaya Kumar Khilar, Pabitra Mohan Natl Inst Technol Dept CSE Rourkela India

ISBN: (纸本)9788132212980;9788132212997

IEEE 802.11 WLAN is a most promising and demandable technology for communication. But it is affected by faults in the Access Points (APs), which degrade the network performance. So the network should tolerate the faults to preserve its performance and efficiency. In our approach, we have designed a fault tolerance technique to resist the faults in APs. This consists of three phases: Design of Minimum Cost Spanning Tree, creating Node Priority Table and establishing route to connect the nodes by Network Survivability Algorithm. By this method, we get the network coverage area, priorities of the nodes according to the degree and a route to connect the nodes after AP failure. We have considered it for both Single-Point Failure and Multi-Point Failure, which show better results in tolerating the faults by utilising maximum number of nodes and making it a cost-effective model.

关键词： Minimum cost spanning tree Network survivability Node priority Access points distributed system Basic service set Extended service set Wireless LAN

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Employing linked data and dialogue for modelling cultural awareness of a user 14

Employing linked data and dialogue for modelling cultural aw...

引用

19th international conference on intelligent User Interfaces, IUI 2014

作者： Denaux, Ronald Dimitrova, Vania Lau, Lydia Brna, Paul Thakker, Dhaval steiner, Christina School of Computing University of Leeds United Kingdom Knowledge Technologies Institute Graz University of Technology Austria

ISBN: (纸本)9781450321846

Intercultural competence is an essential 21st Century skill. A key issue for developers of cross-cultural training simulators is the need to provide relevant learning experience adapted to the learner's abilities. This paper presents a dialogic approach for a quick assessment of the depth of a learner's current intercultural awareness as part of the EU ImREAL project. To support the dialogue, Linked Data is seen as a rich knowledge base for a diverse range of resources on cultural aspects. This paper investigates how semantic technologies could be used to: (a) extract a pool of concrete culturally-relevant facts from DBpedia that can be linked to various cultural groups and to the learner, (b) model a learner's knowledge on a selected set of cultural themes and (c) provide a novel, adaptive and user-friendly, user modelling dialogue for cultural awareness. The usability and usefulness of the approach is evaluated by CrowdFlower and Expert Inspection. © 2014 ACM.

关键词： Linked data

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A novel end-to-end authentication protocol for satellite mobile communication networks 7

引用

7th international conference on intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st international conference on Cognitive Systems and Information Processing, CSIP 2012

作者： Zhang, Xiaoliang Liu, Heyu Lu, Yong Sun, Fuchun National Key Laboratory of Integrated Information System Technology Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Intelligence Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing100084 China

ISBN: (纸本)9783642378287

This paper establishes a model of satellite mobile communication network end-to-end authentication and designs a distributed end-to-end authentication protocol for the model including initial authentication, authentication status inquire, and re-authentication. It also analyzes the safety of the protocol by the formal verification and makes performance analysis by simulation experiments. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Authentication

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Multi-label Linear Discriminant Analysis with Locality Consistency 21

引用

21st international conference on Neural Information Processing (ICONIP)

作者： Yuan, Yuzhang Zhao, Kang Lu, Hongtao Shanghai Jiao Tong Univ Dept Comp Sci & Engn Key Lab Shanghai Educ Commiss Intelligent Interac Shanghai 200240 Peoples R China

ISBN: (纸本)9783319126401

Multi-label classification is common in many domains such as text categorization, automatic multimedia annotation and bioinformatics, etc. Multi-label linear discriminant analysis (MLDA) is an available algorithm for solving multi-label problems, which captures the global structure by employing the forceful classification ability of the classical linear discriminant analysis. However, some latest studies prove that local geometric structure is crucial for classification. In this paper, we present a new method called Multi-label Linear Discriminant Analysis with Locality Consistency (MLDA-LC) which incorporates local structure into the framework of MLDA. Specifically, we employ a graph regularized term to preserve the local structure for multi-label data. In addition, an efficient computing method is also presented to reduce the time and space cost of computation. The experimental results on three benchmark multi-label data sets demonstrate that our algorithm is feasible and effective.

关键词： Multi-label Classification Dimensionality Reduction Locality Consistency

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Ubiquitous computing-A Technological Impact for an intelligent System

Ubiquitous Computing-A Technological Impact for an Intellige...

引用

international Journal Multi-conference on Genetics, Agriculture, Ecological and Biological Sciences (IJMGAEBS’13);international Journal Multi-conference on Computer, Electronics, Mechanical and Aerospace Engineering (IJMCEMAE’13);international Journal Multi-conference on Banking, Law, Humanities, Psychology and Education (IJMBLHPE’13)

作者： Saju Mathew Department of Information Technology Al Khawarizmi International College

21st century belongs to the world of computing and one such most promising development that took place in the field of computing is ‘ubiquitous computing'. As technology is taking a new shape and dimensions, people in the present time want to have easy access to all the resources. In the present stressful situation the users wants to make his life easy and intelligent by using intelligent systems. In the recent years' lot of researches are carried out in the field of ubiquitous computing. In today's situation ubiquitous computing has totally changed the life of human by making use of intelligent systems. For example- it has increased the comfort zone of our home, it helps to improve the efficiency of energy, driving has became safe on roads due to usage of intelligent system in the vehicle, monitoring of human health has become very easy due to intelligent system and its application. This paper focuses on some of the applications that can be developed with the help of intelligent system using ubiquitous computing, its advantages and challenges faced.

关键词： computing,intelligent system,technology ubiquitous computing.

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Independent component analysis: Embedded LTSA 7

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7th international conference on intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st international conference on Cognitive Systems and Information Processing, CSIP 2012

作者： Yang, Qianwen Li, Yuan Sun, Fuchun Yang, Qingwen State Key Laboratory of Intelligence Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing100084 China School of Information Engineering University of Science and Technology Beijing China School of Electrical and Information Engineering Beijing Jiao Tong University Beijing China

ISBN: (纸本)9783642378287

In order to solve the adaptability problem of local tangent space alignment (LTSA) with potential higher-order information loss in manifolds, a novel algorithm is proposed to optimize the extraction of local neighborhood information. The algorithm is based on LTSA and ICA algorithms, which is called the IELTSA algorithm. By optimizing the extraction of the tangent vectors, the algorithm can improve dimension reduction in high-dimensional and unevenly distributed manifolds. The proposed algorithm is feasible in carrying out manifold learning, and the reconstruction error is no more than that of LTSA. Experiments show that IELTSA can be applied to changed-density 3D curves and face images targeted at lower dimensions, showing highest performance over LTSA and other improved methods based on LTSA, and achieving the highest recognition rate in lower-dimensional embedding. The algorithm can effectively reconstruct low-dimensional coordination in curves with changed-density and also shows adaptability in high-dimensional images targeted at lower dimensions. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Independent component analysis

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A parallel hybrid meta-heuristic optimization tool for minimizing cost and energy consumption of large scale construction projects 1

A parallel hybrid meta-heuristic optimization tool for minim...

引用

1st international conference on Engineering and Applied Sciences Optimization, OPT-i 2014

作者： Lafer-Sousa, Luis Fritsche, Eric Beck Technology-Research and Development 1807 Ross Avenue DallasTX75201 United States

ISBN: (纸本)9789609999465

The rise of BIM (building information modeling) has resulted in an expansion of computer technology in the AEC (architecture, engineering, and construction) industry. BIM allows for projects to become full digital models, bringing in information not only about appearance, but about performance and costs as well. It has also opened the door to more intelligent earlystage decisions: any changes can quickly be analyzed for the impact on the project. There are numerous variables that can result in significant changes in the construction cost and energy consumption of a building, and even in the simplest designs this can result in thousands of variable combinations (in complex designs this quickly grows into the hundreds of trillions). This results in an interesting combinatorial optimization problem: there is a discrete set of possible models that, due to practicality, must use some intelligent algorithms to find optimal models by exploring just a fraction of the possibilities. The field of MDO (Multidisciplinary Design Optimization) has expanded to the AEC industry, and typical attempts at optimization use generic genetic algorithms to move towards the best models [1, 2]. Genetic algorithms alone are limited in their power to find optimal design models, particularly when using recombination methods or when the sample space contains many local optima. Additionally, tools utilizing these algorithms face difficulties integrating with commonly used BIM software, making them impractical for realistic studies [3]. The research here presents a meta-heuristic algorithm that, rather than purely using a genetic algorithm, instead utilizes an ensemble of learning methods to combine separate classifiers to create a more accurate prediction of where in the sample space optimal models exist. It is shown that combining a genetic algorithm with other algorithms and distributed computing leads to more optimal results in a shorter time. The algorithm is able to consistently improve on b

关键词： Multiobjective optimization

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distributed data distribution mechanism in social network based on fuzzy clustering 7

引用

7th international conference on intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st international conference on Cognitive Systems and Information Processing, CSIP 2012

作者： Cao, Yan Cao, Jian Li, Minglu Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783642378287

With the development of Internet, especially the success of social media like Facebook, Renren and Douban, social network has become an important part of people’s life. For social applications, one of the key problems to be solved is how to distribute data accurately to different users and groups in high speed. In this paper, we introduce fuzzy clustering into social network analysis. Users with similar interests are clustered into the same network according to fuzzy similarities. Our goal is to study how such clustering can enhance data distribution to the largest extent. We take 3,000 user’s data from ***, fetch fuzzy social relationship, and simulate data transmission with a theme-based pub/sub mechanism. Experiments show that network clustering based on fuzzy clustering can improve data distribution effectively, while remain robust in highly dynamic environment. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Fuzzy clustering

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