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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3572 条记录，以下是1131-1140 订阅

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Toward complex search for encrypted cloud data via blind index storage 15

Toward complex search for encrypted cloud data via blind ind...

引用

15th IEEE international symposium on Parallel and distributed Processing with applications and 16th IEEE international Conference on Ubiquitous computing and Communications, ISPA/IUCC 2017

作者： Hu, Yupeng Li, Wenjia Ma, Mengyi Cao, Na Liu, Yonghe Qin, Zheng Wang, Jia College of Computer Science and Electronic Engineering Hunan University China Department of Computer Science New York Institute of Technology United States Department of Computer Science and Engineering UT-Arlington United States Training Department National University of Defense Technology China

ISBN: (纸本)9781538637906

With the rapid development of cloud storage systems in recent years, end users generally outsource their data to external cloud servers for better scalability and usability. These outsourced data generally need to be encrypted before uploading due to privacy concerns of data owners. This creates a critical challenge on the accuracy of searches over the encrypted cloud data. In this paper, we develop a searchable symmetric encryption scheme for any arbitrary multi-dimensional keyword query with range query over encrypted data such as the electronic medical record data in the multi-owner multi-user environment. Within this framework, we leverage an efficient index to enrich the search conditions, and adopt an index blind storage scheme called IBS to enhance the security of the search process. Security analysis demonstrates that the proposed framework can achieve confidentiality of documents and index, trapdoor privacy, identity privacy, and the concealing of access patterns. Experimental results demonstrate that the proposed scheme can achieve excellent scalability and improved search efficiency compared to existing schemes facing similar search requests. © 2017 IEEE.

关键词： Access control

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An overview and an Approach for Graph Data Processing using Hadoop MapReduce

An overview and an Approach for Graph Data Processing using ...

引用

international Conference on computing Methodologies and Communication (ICCMC)

作者： Pooja P. Talan Kartik U. Sharma Computer Science & Engineering P.R.M.C.E.A.M. Badnera India

ISBN: (数字)9781538634523

ISBN: (纸本)9781538634530

A very large quantity of data which traditional applications fail to process, leads the world to the era of Big Data. With the increase in opportunity and technology scope, Big Data also leads to many challenges such as data capture, storage, transfer, update, analysis, sharing, search, visualization, privacy of data etc. In order to deal with all these challenges there is a need of proper framework which will not only process the data but also provide a meaningful analysis so as to take proper decision in critical situations either related to industry, healthcare, social network, science, telecom, environment, business etc. The contribution of this paper is to analyze literature related to Big Data & Hadoop framework and provide architecture to process Graph Data. Additionally, it provides online source code in order to understand big data for beginners.

关键词： Big Data Conferences Computer architecture Videos distributed databases Task analysis

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Low Area & Memory Efficient VLSI Architecture of 1D/2D DWT for Real Time Image Decomposition

Low Area & Memory Efficient VLSI Architecture of 1D/2D DWT f...

引用

international symposium on Electronic System Design (ISED)

作者： Anirban Chakraborty Ayan Banerjee Department of Electronics & Tele-communication Engineering Indian Institute of Engineering Science and Technology Shibpur Howrah India

ISBN: (纸本)9781538665763;9781538665756

There is a dearth of high quality reconfigurable hardware for DWT which can be extensively used in various real time signal and image processing applications. In this article, we have focused on proposing a dedicated customizable hardware for DWT applicable to 1D/2D signal processing. We have proposed bit-serial distributed Arithmetic (DA) based VLSI architectures for ID/2D DWT. Exploitation of DA enables us to make our designs Multiplierless, thereby consuming less area. Bit serial configuration of DA is also exploited to introduce modularity and pipelining in the proposed convolution DWT based 1D/2D architectures. Though the speed of the proposed designs may not be suitable for certain applications, a number of parallel channels can be introduced for the same. The provision of mode selection can efficiently be used to realize 9/7 and also 5/3 DWT filters in the same proposed architecture. In the proposed 1D/2D architecture, we have achieved about 50% memory size reduction, 30% reduction in area consumption and comparable speed in comparison to the other latest notable DWT architecture so far. We have verified the viability of our proposed 2D architecture by utilizing it in real time image decomposition.

关键词： Discrete wavelet transforms Low pass filters Read only memory Memory management Adders Two dimensional displays

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The Intelligent Transportation Control Model of Freeway with Ramps

The Intelligent Transportation Control Model of Freeway with...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Liming Gao Wuhan University of Technology Wuhan China

ISBN: (纸本)9781538621639

Dealing with freeway bottleneck sections in ramps is hot research topic in most country. A traffic control model is built after dividing highway management units. New concept of regulating density is given after analyzing data. The conclusions are obtained after numerical calculation, that is: before vehicles entering the bottleneck sections, density and speed of vehicles should be controlled. This conclusion is helpful for further research of intelligent transportation system.

关键词： Handheld computers Iron distributed computing business

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The Intelligent Traffic Control Model of Multiphase Intersection with Variable Phase Sequence

The Intelligent Traffic Control Model of Multiphase Intersec...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Liming Gao Wuhan University of Technology Wuhan China

ISBN: (纸本)9781538621639

Considering the intelligent transportation system with fixed phase sequence of fuzzy control, a fuzzy model of control algorithm with variable phase sequence is built. The fuzzy control algorithm is discussed. This paper designs green light controller for the delay time and the phase selection controller, then stimulates the process and analyzes the conclusion. Compared with the traditional control method, the optimization effect is remarkable. The numerical results are better then the one of traditional control method, and is helpful to further design and study the intelligent transportation system.

关键词： Handheld computers distributed computing business

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A Few of the Most Popular Models for Heterogeneous Parallel Programming

A Few of the Most Popular Models for Heterogeneous Parallel ...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Gang Xie Ya-lin Zhang Institute of Computer Applications China Academy of Engineering Physics MianYang China

ISBN: (纸本)9781538621639

In this paper we consider the problem of programming for heterogeneous computer systems consist of CPUs and various accelerating devices such as GPUs. We introduce a few of the most popular models for heterogeneous parallel programming, including OpenCL (Open computing Language), CUDA (Compute Unified Device Architecture), OpenACC, OpenHMPP (Hybrid Multicore Parallel Programming), C++ AMP (accelerated massive parallelism), HPL (Heterogeneous Programming Library), etc.

关键词： Graphics processing units Programming C++ languages Hardware Standards Parallel processing Instruction sets

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Fast deduplication data transmission scheme on a big data real-time platform 7

Fast deduplication data transmission scheme on a big data re...

引用

7th international symposium on business Modeling and Software Design, BMSD 2017

作者： Cheng, Sheng-Tzong Chen, Jian-Ting Chen, Yin-Chun Department of Computer Science and Information Engineering National Cheng Kung University Taiwan

ISBN: (纸本)9789897582387

In this information era, it is difficult to exploit and compute high-amount data efficiently. Today, it is inadequate to use MapReduce to handle more data in less time let alone real time. Hence, In-memory computing (IMC) was introduced to solve the problem of Hadoop MapReduce. IMC, as its literal meaning, exploits computing in memory to tackle the cost problem which Hadoop undue access data to disk caused and can be distributed to perform iterative operations. However, IMC distributed computing still cannot get rid of a bottleneck, that is, network bandwidth. It restricts the speed of receiving the information from the source and dispersing information to each node. According to observation, some data from sensor devices might be duplicate due to time or space dependence. Therefore, deduplication technology would be a good solution. The technique for eliminating duplicated data is capable of improving data utilization. This study presents a distributed real-time IMC platform - "Spark Streaming" optimization. It uses deduplication technology to eliminate the possible duplicate blocks from source. It is expected to reduce redundant data transmission and improve the throughput of Spark Streaming.

关键词： Big data

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Customer Loyalty Research Based on Survival Analysis

Customer Loyalty Research Based on Survival Analysis

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Linghui Jin Lisha Guo City College Wuhan University of Science and Technology Wuhan China School of Math. and Statistics South-Central University for Nationalities Wuhan China

ISBN: (纸本)9781538621639

In this paper, we study the customer loyalty based on survival analysis. We regard the time of using product as the survival time, and utilize the AFT model to analysis the influencing factors of the customer loyalty. The results of simulation show that our method is more effective than commonly regression method. A real example is also provided as an illustration.

关键词： Mathematical model Analytical models Acceleration Education Mobile communication Electronic mail Numerical models

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Comparison of Several Implied Volatility Models

Comparison of Several Implied Volatility Models

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Ying Zhuang Meiqing Wang College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China

ISBN: (纸本)9781538621639

The implied volatility is an important parameter when the trader need to quote the prices of options. The famous B-S Model assumes that the implied volatility surface is a constant independent of the option's strike and time to maturity. But empirical analysis has proved that implied volatility surface is a non-flat function. There are several popular methods to construct the implied volatility surface. In this paper, the parameter affection and performance of several models are compared and tested by using empirical analysis.

关键词： Inverse problems Mathematical model Computational modeling Analytical models Surface fitting Finance Pricing

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An adaptive filtration based defense framework against DDoS 15

An adaptive filtration based defense framework against DDoS

引用

15th IEEE international symposium on Parallel and distributed Processing with applications and 16th IEEE international Conference on Ubiquitous computing and Communications, ISPA/IUCC 2017

作者： Zhang, Jian Zhang Zhou, Xiaxia Zhou Zhang, Wei Zhang Liang, Qidi Liang Xiang, Fengtao Xiang School of Information Science and Engineering Central South University China College of Mechatronics Engineering and Automation National University of Defense Technology Changsha China

ISBN: (纸本)9781538637906

While increasing cloud services are exposed to DDoS, DDoS defense has becoming more and more challenging. A single server with limited computing and memory resource can hardly handle large packet traces which are captured on fast links. In this paper, we propose a spark-streaming based online DDoS defense framework. First, we present a analysis model to identify abnormal packets. Second, we develop a defense model based on the statistics of abnormal packets. Our framework has two main advantages: (1) Our framework is configurable and with expert system functionality;the information maintained to detect threats is also leveraged during mitigation to effectively distinguishing legitimate from suspicious traffic;(2) Based on spark-streaming, our framework allows for parallel and distributed traffic analysis that can be deployed at high-speed network links. At the same time, by employing improved bloom-filter for approximated checks with low false positive/negative errors, it also reduces the space required to maintain the information leveraged for the threat detection and mitigation. The evaluation with data sets derived from real network traffic validates the performance of our framework in terms of detection accuracy, filtering efficiency, and monitoring overhead. The experiments show that our framework is able to detect DDoS attacks in the early stage of attack, to mitigate them by filtering out the majority of the abnormal packets while keeping a high percentage of the legitimate traffic unaffected. © 2017 IEEE.

关键词： Expert systems

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