Computer Engineering and Applications最新文献_第5页

Data Mining Applications in Big Data 数据挖掘在大数据中的应用

Computer Engineering and Applications Pub Date : 2015-09-20 DOI: 10.18495/COMENGAPP.V4I3.155

Lidong Wang, Guanghui Wang

引用次数: 6

RFID-based Drug Management and Monitoring System, Case of Public Hospitals in Tanzania, A Review Paper 基于rfid的药品管理与监测系统，坦桑尼亚公立医院案例，综述

Computer Engineering and Applications Pub Date : 2015-09-20 DOI: 10.18495/COMENGAPP.V4I3.151

Prisila Ishabakaki, S. Kaijage

引用次数: 3

C4.5 Versus Other Decision Trees: A Review C4.5与其他决策树的对比:综述

Computer Engineering and Applications Pub Date : 2015-09-20 DOI: 10.18495/COMENGAPP.V4I3.141

Salih Ozsoy, Gökhan Gümüş, Savriddin Khalilov

引用次数: 3

Fingerprint Enhancement Algorithm Based-on Gradient Magnitude for the Estimation of Orientation Fields 基于梯度幅度的指纹方向场估计增强算法

Computer Engineering and Applications Pub Date : 2015-06-26 DOI: 10.18495/COMENGAPP.V4I2.154

Saparudin Saparudin, G. Sulong

引用次数: 1

Parallel Continuous Double Auction for Service Allocation in Cloud Computing 云计算中服务分配的并行连续双拍卖

Computer Engineering and Applications Pub Date : 2015-06-20 DOI: 10.18495/COMENGAPP.V4I2.125

Nima Farajian, Hossein Ebrahim pour-komleh

引用次数: 4

Proposing a novel method for clock synchronization in WSN 提出了一种新的无线传感器网络时钟同步方法

Computer Engineering and Applications Pub Date : 2015-06-20 DOI: 10.18495/COMENGAPP.V4I2.137

Seyed Kazem Kazeminezhad, S. Babaie, Amir Shiri

{"title":"Proposing a novel method for clock synchronization in WSN","authors":"Seyed Kazem Kazeminezhad, S. Babaie, Amir Shiri","doi":"10.18495/COMENGAPP.V4I2.137","DOIUrl":"https://doi.org/10.18495/COMENGAPP.V4I2.137","url":null,"abstract":"Wireless sensor networks (WSNs) of spatially distributed autonomous sensors are used to monitor physical or environmental conditions such as temperature, sound, pressure, etc. They are also used to cooperatively pass the collected data through the network to a main location. Due to the application of wireless sensor networks as a monitoring device in the real world, the physical time of the occurrence of events is important. Since WSNs have particular constraints and limitations, synchronizing the physical times for these networks is considered to be a complex task. Although many algorithms have been proposed for synchronizing time in the network, there are two main error factors in all the proposed algorithms. The first factor is the clock drift which might be caused by the influence of different environmental factors such as temperature, ambient temperature, humidity, it might be generated on crystal oscillator which is inevitable The second error factor is indeterminacy which is attributed to the existence of non-deterministic delays in sending and receiving messages between sensor nodes. These two factors together reduce the precision of synchronization algorithms. In this paper, the researchers proposed a new approach for dealing with the above-mentioned two problems and achieving better synchronization. The proposed approach is a combination of flooding time synchronization protocol (FTSP) and reference broadcast synchronization (RBS).This approach is intended to increase synchronization accuracy and network lifetime by reducing the number of synchronization messages sent between nodes and eliminating the most of non-deterministic errors in sending messages. The results of simulations conducted in the study indicated that the proposed approach is significantly more efficient than the FTSP and RBS methods in terms of parameters such as accurate synchronization, amount of sent packets and power consumption.","PeriodicalId":120500,"journal":{"name":"Computer Engineering and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122102270","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

Energy efficient virtual machine placement algorithm with balanced resource utilization based on priority of resources 基于资源优先级均衡利用的高能效虚拟机布局算法

Computer Engineering and Applications Pub Date : 2015-06-20 DOI: 10.18495/COMENGAPP.V4I2.134

Amin Rahimi, L. M. Khanli, S. Pashazadeh

引用次数: 6

Network Attacks Detection by Hierarchical Neural Network 基于层次神经网络的网络攻击检测

Computer Engineering and Applications Pub Date : 2015-06-18 DOI: 10.18495/COMENGAPP.V4I2.108

M. Javidi

{"title":"Network Attacks Detection by Hierarchical Neural Network","authors":"M. Javidi","doi":"10.18495/COMENGAPP.V4I2.108","DOIUrl":"https://doi.org/10.18495/COMENGAPP.V4I2.108","url":null,"abstract":"Intrusion detection is an emerging area of research in the computer security and net-works with the growing usage of internet in everyday life. Most intrusion detection systems (IDSs) mostly use a single classifier algorithm to classify the network traffic data as normal behavior or anomalous. However, these single classifier systems fail to provide the best possible attack detection rate with low false alarm rate. In this paper,we propose to use a hybrid intelligent approach using a combination of classifiers in order to make the decision intelligently, so that the overall performance of the resul-tant model is enhanced. The general procedure in this is to follow the supervised or un-supervised data filtering with classifier or cluster first on the whole training dataset and then the output are applied to another classifier to classify the data. In this re- search, we applied Neural Network with Supervised and Unsupervised Learning in order to implement the intrusion detection system. Moreover, in this project, we used the method of Parallelization with real time application of the system processors to detect the systems intrusions.Using this method enhanced the speed of the intrusion detection. In order to train and test the neural network, NSLKDD database was used. Creating some different intrusion detection systems, each of which considered as a single agent, we precisely proceeded with the signature-based intrusion detection of the network.In the proposed design, the attacks have been classified into 4 groups and each group is detected by an Agent equipped with intrusion detection system (IDS).These agents act independently and report the intrusion or non-intrusion in the system; the results achieved by the agents will be studied in the Final Analyst and at last the analyst reports that whether there has been an intrusion in the system or not. Keywords: Intrusion Detection, Multi-layer Perceptron, False Positives, Signature- based intrusion detection, Decision tree, Nave Bayes Classifier","PeriodicalId":120500,"journal":{"name":"Computer Engineering and Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207401","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: 1

Dynamic Location Modelling in 3D Beamforming for 5G Mobile Communications 5G移动通信3D波束成形中的动态位置建模

Computer Engineering and Applications Pub Date : 2015-02-18 DOI: 10.18495/COMENGAPP.V4I1.116

A. Sasi, P. Santhiya

引用次数: 0

Network Selection Problems - QoE vs QoS Who is the Winner? 网络选择问题——QoE vs QoS谁是赢家?

Computer Engineering and Applications Pub Date : 2015-02-18 DOI: 10.18495/COMENGAPP.V4I1.131

V. Mohanan, I. Aldmour

{"title":"Network Selection Problems - QoE vs QoS Who is the Winner?","authors":"V. Mohanan, I. Aldmour","doi":"10.18495/COMENGAPP.V4I1.131","DOIUrl":"https://doi.org/10.18495/COMENGAPP.V4I1.131","url":null,"abstract":"In network selection problem (NSP), there are now two schools of thought. There are those who think using QoE (Quality of Experience) is the best yardstick to measure the suitability of a Candidate Network (CN) to handover to. On the other hand, Quality of Service (QoS) is also advocated as the solution for network selection problems. In this article, a comprehensive framework that supports effective and efficient network selection is presented. The framework attempts to provide a holistic solution to network selection problem that is achieved by combining both of the QoS and QoE measures. Using this hybrid solution the best qualities in both methods are combined to overcome issues of the network selection problem According to ITU-R (International Telecommunications Union – Radio Standardization Sector), a 4G network is defined as having peak data rates of 100Mb/s for mobile nodes with speed up to 250 km/hr and 1Gb/s for mobile nodes moving at pedestrian speed. Based on this definition, it is safe to say that mobile nodes that can go from pedestrian speed to speed of up to 250 km/hr will be the norm in future. This indicates that the MN’s mobility will be highly dynamic. In particular, this article addresses the issue of network selection for high speed Mobile Nodes (MN) in 4G networks. The framework presented in this article also discusses how the QoS value collected from CNs can be fine-tuned to better reflect an MN’s current mobility scenario.","PeriodicalId":120500,"journal":{"name":"Computer Engineering and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127608154","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: 4