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Spatial pyramid is a very popular method for preserving the spatial information of local features, which partitions an image into multiple blocks at different resolution levels. Nevertheless, the strategy for partitioning an image is designed by hand and same for all the codewords in a codebook. To address this problem, we propose a novel partition method named discriminative spatial tree (ST), and...
Currently computer security relies mainly on Cryptography as a means of data protection. This project aims to develop the algorithm for RSA parallelized, deploying it to a GPU (Graphics Processing Unit) taking advantage of the computing power, in order to improve the speed of processing in comparison with the algorithm based on the CPU.
Some existing studies use one kind of forecasting variables and Fama-MacBeth Regression to predict stock returns and find very modest predictability. To get better predictability, Adaboost integration algorithm, which is a classic machine learning algorithm and can use multiple kinds of forecasting variables, is introduced to predict yearly stock returns of all the firms of A-Share market from 2011...
People are using on daily basis websites, mobile applications, and online software nowadays. Major mobile and desktop software applications have been moved to cloud computing environment that allows users to interact with a variety of applications on the move and pay only for additional usage of services on-demand. Each online application has its own terms of service, data privacy agreement that needs...
A magnitude of digital technological based on cloudinfluences in social calendar of persons, society and state livingwith or without digital technology exposes digital supremacy whichis rendering social conversation in new forms - linearconversation, and disruptive conversation. Scheme of conversationmakes sense of relations among social actors - state and non-stateactors. New media is witness of...
Task stragglers dramatically impede parallel job execution of data-intensive computing in Cloud Datacenters Due to the uneven distribution of input data resulted from heterogeneous data nodes, resource contention situations, and network configurations, it causes delay failures due to the violation of job completion time. However, data-intensive computing frameworks, such as MapReduce or Hadoop, employ...
Cloud computing facilitates end users to allow high performance computing applications by allocating resources on demand. This avoids large capital expenditure for small and medium sized enterprises having limited resources to obtain High Performance Computing(HPC). In this paper, we propose a new distributed HPC model in self-built OpenStack public cloud under SDN infrastructure. For partitioning...
With the penetration of new technologies, there is a rapid growth of internet users and data (mostly unstructured) generated by those users on the internet. As scraping is one of the major sources for extraction of unstructured data from the Internet, we have analyzed the scraping process when introduced to a bulk of data extraction. We faced several challenges while scraping large amount of data,...
To shorten the networking delay from MapTracker to ReduceTracker has attractive potential to gain high performance shuffle for MapReduce. As the original MapReduce shuffle has no locality-aware feature when assigning reduce-tasks over computing nodes, we plan to present a similarity-based distance in the proposed Cloud Node Space to evaluate distance between two computing nodes in data center. Then,...
The present paper allows to hybrid energy management for community energy system facilities. Energy management system is enabled cost savings through efficient use of energy. Active initiatives for energy management begin from the baseline of energy use. Given the vast amount of data and comparable systematized information gathered from greenhouse gas and energy IT systems, it is possible to reduce...
This paper discusses a new approach for designing and deploying Security-as-a-Service (SecaaS) applications using cloud native design patterns. Current SecaaS approaches do not efficiently handle the increasing threats to computer systems and applications. For example, requests for security assessments drastically increase after a high-risk security vulnerability is disclosed. In such scenarios, SecaaS...
In order to ensure the security of electric power supervisory control and data acquisition (SCADA) system, this paper proposes a dynamic awareness security protection model based on security policy, the design idea of which regards safety construction protection as a dynamic analysis process and the security policy should adapt to the network dynamics. According to the current situation of the power...
Detecting multi-interface from the oil-water separation image is the basis of automatic detection of the moisture content and other indicators based on machine vision in heavy oil. Because of the strong viscosity, heavy oil easily attaches to the test tube wall and the oil-air and oil-water interface information is fuzzy. It is difficult to extract different location of the interface information simultaneously...
In this work, we present a weakly supervised deep learning semantic segmentation framework for small-scale image dataset without ground-truth information of segmentation. The main process of this framework is as follows: 1, Training dataset by the region-based convolution neural networks. 2, Getting object classifier and the initial object location. According to the initial location result, 'GrabCut...
In the era of digitalization, people store their data digitally on local or remote storage. To prevent data loss due to disk failures, data fault tolerance mechanisms have been widely deployed to provide different levels of reliability. However, applying data fault tolerance mechanisms incurs extra cost on storage space and energy consumption. Therefore, data with different importance should be stored...
The high latency of read and write makes disks no longer the popular place for data. To meet millions or billions of requests, mostly read, distributed data stores have to rely on memory systems. The cache system in data stores are different from CPU cache. For CPU cache, most workloads have short life span. But in distributed storage, workloads can last for days, months, and even years. How to classify...
Scheduling systems for shared computing environments such as Cloud, Grid and Cluster computing act as the intermediator agent between the participating users with their requests in form of jobs or tasks, and the resources being shared. We will look at nine scheduling systems in this paper, and evaluate how each would be measured against the three optimizing parameters of Fairness, Utilization and...
In this mobile period, users enjoy various functions and convenience from mobile devices, but the coarse-grained data access permission of current mobile operating system brings about serious risk of privacy leakage. In other words, users mobile data are over-collected by apps. This study focuses on a new framework to provide fine-grained data access mechanism for mobile systems. With the help of...
Consistency is a critical issue in distributed storage systems. Data in distributed storage systems are replicated across multiple storage nodes. When a copy of data is modified, all other copies need to be updated to prevent clients from reading stale data. However, such strong consistency requires the system to wait for all replicas to finish updates before returning to the client. Thus performance...
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