به نام خدا
Title: Accelerating E-Commerce Sites in the Cloud
Authors: Wei Hao, James Walden, Chris Trenkamp
Abstract: E-commerce web sites typically have large fluctuations in their IT resource usage, while rapid elasticity is an essential characteristic of cloud computing. These characteristics make the cloud a good fit for hosting e-commerce web sites. Cloud providers deploy their cloud in their data centers. However, cloud providers usually have a limited number of data center locations around the world. Thus, e-commerce web sites in the cloud may be far away from their customers. Long client-perceived response latency may cause e-commerce web sites to lose business. To solve this problem, we propose a virtual proxy solution to reduce the response latency of the e-commerce site in the cloud. In our approach, a virtual proxy platform is designed to cache applications and data of e-commerce sites. A k-means based table partitioning algorithm is designed to select frequently used data from the database in the cloud. We have used an industrial e-commerce benchmark TPC-W to evaluate the performance of our approach. The experimental results show that our approach can significantly reduce the client-perceived response time.
Publish Year: 2013
Published in: CCNC – IEEE
موضوع: تجارت الکترونیک (E-Commerce)
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به نام خدا
Title: Domain Adaptive Object Detection
Authors: Fatemeh Mirrashed, Vlad I Morariu, Behjat Siddiquie, Rogerio S Feris, Larry S Davis
Abstract: We study the use of domain adaptation and transfer learning techniques as part of a framework for adaptive object detection. Unlike recent applications of domain adaptation work in computer vision, which generally focus on image classification, we explore the problem of extreme class imbalance present when performing domain adaptation for object detection. The main difficulty caused by this imbalance is that test images contain millions or billions of negative image sub windows but just a few image sub windows containing positive instances, which makes it difficult to adapt to changes in the positive classes present new do-mains by simple techniques such as random sampling. We propose an initial approach to addressing this problem and apply our technique to vehicle detection in a challenging urban surveillance dataset, demonstrating the performance of our approach with various amounts of supervision, including the fully unsupervised case.
Publish Year: 2013
Published in: WACV – IEEE
موضوع: بینایی ماشین (Computer Vision) – تشخیص اشیا (Object Detection)
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به نام خدا
Title: Thermal energy storage using thermo-chemical heat pump
Authors: MA Hamdan a, , SD Rossides b , R Haj Khalil
Abstract: A theoretical study was performed to investigate the potential of storing thermal energy using a heat pump which is a thermo-chemical storage system consisting of water as sorbet, and sodium chloride as the sorbent. The effect of different parameters namely; the amount of vaporized water from the evaporator, the system initial temperature and the type of salt on the increase in temperature of the salt was investigated and hence on the performance of the thermo chemical heat pump. It was found that the performance of the heat pump improves with the initial system temperature, with the amount of water vaporized and with the water remaining in the system. Finally it was also found that lithium chloride salt has higher effect on the performance of the heat pump that of sodium chloride.
Publish Year: 2013
Published in: Energy Conversion and Management - Science Direct
موضوع: مهندسی انرژی
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به نام خدا
Title: Clustering local frequency items in multiple databases
Authors: Animesh Adhikari
Abstract: Frequent items could be considered as a basic type of patterns in a database. In the context of multiple data sources, most of the global patterns are based on local frequency items. A multi-branch company transacting from different branches often needs to extract global patterns from data distributed over the branches. Global decisions could be taken effectively using such patterns. Thus, it is important to cluster local frequency items in multiple databases. An overview of the existing measures of association is presented here. For the purpose of selecting the suitable technique of mining multiple databases, we have surveyed the existing multi-database mining techniques. A study on the related clustering techniques is also covered here. The notion of high frequency item sets is introduced here, and an algorithm for synthesizing supports of such item sets is designed. The existing clustering technique might cluster local frequency items at a low level, since it estimates association among items in an item set with a low accuracy, and thus a new algorithm for clustering local frequency items is proposed. Due to the suitability of measure of association A 2, association among items in a high frequency item set is synthesized based on it. The soundness of the clustering technique has been shown. Numerous experiments are conducted using ve datasets, and the results on different aspects of the proposed problem are presented in the experimental section. The effectiveness of the proposed clustering technique is more visible in dense databases.
Publish Year: 2013
Published in: Information Sciences - Science Direct
موضوع: داده کاوی (Data Mining) - خوشه بندی (Clustering)
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به نام خدا
Title: Internet Science: a Manifesto
Author: Kave Salamatian
Abstract: The purpose of this paper is to describe a new emerging science: Internet science. This paper argues that cur-rent Internet is a direct by-product of Shannon’s Information theory and its master thesis. After that I attempt a general and generic definition of a network and discuss the different alternatives. This discussion results in defining a network as asset of distributed actors cooperating for exchanging information. Based on this definition, I describe how cooperation in networks happens at two conceptual levels: on the structure and the growth of the network and on the information exchange (or forwarding). After describing a potential approach to understand the growth of a network as resulting from an iterative prisoner’s dilemma game, I explained how forwarding cooperation can be divided into three classes: full cooperation, selfishness and non-rational cases. This discussion opens a discussion on the need to develop a new economical theory for understanding networks and information exchange.
Publish Year: 2013
Published in: COMSNETS – IEEE
موضوع: اینترنت (Internet)
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