2016 International Conference on Advanced Computing and Applications (ACOMP)最新文献_第2页

A Secured OpenFlow-Based Switch Architecture 一种安全的基于openflow的交换机架构

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.021

Bao Ho, C. Pham-Quoc, T. N. Thinh, N. Thoai

引用次数: 5

A Technique for Generating Test Data Using Genetic Algorithm 一种利用遗传算法生成测试数据的技术

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.019

Dinh Ngoc Thi, Vo Dinh Hieu, Nguyen Viet Ha

引用次数: 9

A Cross-Checking Based Method for Fraudulent Detection on E-Commercial Crawling Data 基于交叉检验的电子商务抓取数据欺诈检测方法

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.015

T. K. Dang, Duc Dan Ho, D. Pham, An Khuong Vo, H. Nguyen

{"title":"A Cross-Checking Based Method for Fraudulent Detection on E-Commercial Crawling Data","authors":"T. K. Dang, Duc Dan Ho, D. Pham, An Khuong Vo, H. Nguyen","doi":"10.1109/ACOMP.2016.015","DOIUrl":"https://doi.org/10.1109/ACOMP.2016.015","url":null,"abstract":"Marketing research through collecting data from e-commercial websites comes with latent risks of receiving inaccurate data which have been modified before they are returned, especially when the crawling processes are conducted by other service providers. The risk of data being modified is often dismissed in related research works of web crawling systems. Avoiding this problem requires an examination phase where the data are collected for the second time for comparisons. However, the cost for re-crawling processes to simply examine all the data is significant as it will double the original cost. In this paper, we introduce an efficient approach to choose potential data which are most likely to have been modified for later re-crawling processes. By this approach, we can reduce the cost for examining, but still guarantee the data achieve their authenticity. We then measure the efficiency of our scheme while testing the ability to detect fraudulent data in a dataset containing simulated modified data. Results show that our scheme can reduce considerably the amount of data to be re-crawled but still cover most of the fraudulent data. As an example, by applying our scheme to select the data to be re-crawled from a real-world e-commercial website, with a set in which fraudulent data occupy 50 percentages, we only need to re-collect 50 percentages of total data to detect up to 80 percentages of fraudulent data, which is clearly more efficient than choosing randomly the same amount of data to be re-crawled. We conclude by discussing the accuracy measurement of the proposed model.","PeriodicalId":133451,"journal":{"name":"2016 International Conference on Advanced Computing and Applications (ACOMP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126967787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Provision of Docker and InfiniBand in High Performance Computing 高性能计算中Docker和InfiniBand的提供

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.027

M. Chung, An Le, Nguyen Quang-Hung, Duc D. Nguyen, N. Thoai

{"title":"Provision of Docker and InfiniBand in High Performance Computing","authors":"M. Chung, An Le, Nguyen Quang-Hung, Duc D. Nguyen, N. Thoai","doi":"10.1109/ACOMP.2016.027","DOIUrl":"https://doi.org/10.1109/ACOMP.2016.027","url":null,"abstract":"High Performance Computing (HPC) is playing an important role in a variety of domains with the demand of high-level computational capacity. Besides, HPC provides services for a huge range of different users as well as multiple environments. Hence, the performance of the network is also one of the important criteria. The advent of InfiniBand (IB) aims at the improvement of computer-networking. IB technology has been used and expanded on virtualization environments, especially in virtual machines (VMs). Recently, another virtualization technique known as Docker platform is being popularly considered. Docker promises to bring higher performance, but it also poses some challenging problems. Concretely, while VMs are combined with IB by standard virtualization modules such as SR-IOV, Docker containers are still being examined on feasible solutions with IB. An important question is the advantages and disadvantages of both architectures, namely VM and Docker. In this paper, we deploy Docker on IB infrastructure and evaluate their performance with VMs. Remarkably, we highlight the benefits and the drawbacks of Docker in the conflict of resources when its architecture shares the same kernel with the host. Our evaluations emphasize the potential of Docker containers in HPC field, simultaneously, we propose experiences when using Docker for running parallel applications.","PeriodicalId":133451,"journal":{"name":"2016 International Conference on Advanced Computing and Applications (ACOMP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129561939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A High Performance Dynamic ASIC-Based Audio Signal Feature Extraction (MFCC) 基于高性能动态asic的音频信号特征提取

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.025

Tam Chi Nguyen, L. Pham, H. M. Nguyen, Bao Bui, D. Ngo, Trang Hoang

{"title":"A High Performance Dynamic ASIC-Based Audio Signal Feature Extraction (MFCC)","authors":"Tam Chi Nguyen, L. Pham, H. M. Nguyen, Bao Bui, D. Ngo, Trang Hoang","doi":"10.1109/ACOMP.2016.025","DOIUrl":"https://doi.org/10.1109/ACOMP.2016.025","url":null,"abstract":"State-of-the-art speech recognition, speech analysis as well as music modeling have approached Mel-Frequency Cepstral Coefficient (MFCC) and confirmed great performance in comparison to other feature extractions. Based on obtained software performance, a wide range of hardware designs are applied to highly increasing integrated systems achieving real-time performance and ability of mobility. Nevertheless, most hardware approaches witnessing certain configurations have experienced limitation of functions due to fixed-point format, strict silicon requirements or exact applications, which is reasonable for low ability of reusing and high cost of product. As regards MFCC method, there are various concerning parameters such as number of samples, range of filter bands, Fast Fourier Transform (FFT) number, number of cepstrums or even different level of delta coefficients, which significantly affect final performance of entire applications. As a result, a dynamic ASIC-based MFCC hardware architecture is proposed in this paper in order to meet real-time system requiring high performance as well as confirm superiorities regarding to ability of reconfiguration feasibly through an Advance High-performance Bus (AHB) interface in chip level instead of modifying at Register Transfer Level (RTL) in developed duration. Besides, have not only experiments on 130nm technology with full ASIC design flow witnessed high frequency at 500MHz but applying IEEE 754 floating-point format has also confirmed great accuracy between hardware design and software design, which apply in certain application towards Vietnam automatic speech recognition (ASR).","PeriodicalId":133451,"journal":{"name":"2016 International Conference on Advanced Computing and Applications (ACOMP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124431946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Research on 3D Model Construction from 2D DICOM 基于二维DICOM的三维模型构建研究

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.031

V. Nguyen, Manh Ha Tran, Hoang Minh Quang Vu

引用次数: 12

Rew-XAC: An Approach to Rewriting Request for Elastic ABAC Enforcement with Dynamic Policies Rew-XAC:一种基于动态策略的弹性ABAC强制请求重写方法

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.014

H. Son, L. Tran, T. K. Dang, Yen Nhi Pham

引用次数: 28

A Bidirectional Local Search for the Stable Marriage Problem 稳定婚姻问题的双向局部搜索

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.013

H. Viet, L. Trang, SeungGwan Lee, TaeChoong Chung

引用次数: 12

Method of Mapping Vietnamese Chunked Sentences to Definite Shallow Structures 越南语组句到确定浅结构的映射方法

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.020

T. Tran, Dang Tuan Nguyen

{"title":"Method of Mapping Vietnamese Chunked Sentences to Definite Shallow Structures","authors":"T. Tran, Dang Tuan Nguyen","doi":"10.1109/ACOMP.2016.020","DOIUrl":"https://doi.org/10.1109/ACOMP.2016.020","url":null,"abstract":"In many natural language processing based intelligent systems, parsing is the first task to perform. However, in the next stages, many systems often have the capacity of processing a limited number of parsed structures. The problem is to determine what parsed sentences can be recognized by a system. The decision of syntactic structures which can be processed by a system is consider as the task of \"classification\" of a parsed sentence into one of given classes of recognizable parses. In this paper we deal with this issue by proposing a method for mapping Vietnamese chunked sentences to a set of pre-defined shallow structures. Also, we tag lexicons and chunk phrases of the original sentences using our Functional Part-of-Speech (FPOS) tagset with Apache OpenNLP tools (Tokenizer, POS Tagger, Chunker). Based on the foundation of Functional Grammar, we define new lexical tags and combine with Penn-Treebank tagset to build our FPOS tagset. Due to our set of shallow structures is finite, instead of using a parser, we propose a rule-based algorithm for the mapping process. We establish conversion rules according to the reality experiences when using Vietnamese in common communication. The experiment shows that we converse successfully for the major of testing sentences and the algorithm can be applied for different languages.","PeriodicalId":133451,"journal":{"name":"2016 International Conference on Advanced Computing and Applications (ACOMP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Toward a Global Power Manager in Energy Harvesting Wireless Sensor Networks 面向能量收集无线传感器网络的全球电源管理器

2016 International Conference on Advanced Computing and Applications (ACOMP) Pub Date : 2016-11-01 DOI: 10.1109/ACOMP.2016.022

The Duy Phan Dinh, T. N. Le, Anh-Vu Dinh-Duc

{"title":"Toward a Global Power Manager in Energy Harvesting Wireless Sensor Networks","authors":"The Duy Phan Dinh, T. N. Le, Anh-Vu Dinh-Duc","doi":"10.1109/ACOMP.2016.022","DOIUrl":"https://doi.org/10.1109/ACOMP.2016.022","url":null,"abstract":"Wireless Sensor Networks (WSNs) bring a great attention in recent years due to their potential monitoring applications in remote areas, where wire connections are impractical to deploy. Moreover, energy harvesting capability is considered as a promising solution to extend the lifetime of the network. As ambient energy can be scavenged as long as desired, the lifetime of the network can be theoretically infinite. To achieve that, a Power Manager (PM) in a WSN node is required to balance between the consumed energy and the harvested energy to reach the Energy Neutral Operation (ENO) state. However, due to the limited resources in the WSN nodes, the localized PMs must be low complexity and thus less intelligent. In this paper, we propose a Global Power Manager (GPM) that is implemented at a base station to control adaptations of the WSN nodes' power in the network. This solution inaugurates a new paradigm to design an efficient PM as the base station has less constrained on memory, computational capability and particularly energy resources than the WSN nodes. Moreover, a survey of state-of-the-art localized PM techniques is presented. It provides fundamental operations of these techniques to achieve satisfactory performances within a given energy budget.","PeriodicalId":133451,"journal":{"name":"2016 International Conference on Advanced Computing and Applications (ACOMP)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121411311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0