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2016 Eighth International Conference on Information and Knowledge Technology (IKT)最新文献

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A multi-objective genetic algorithm for community detection in weighted networks 加权网络中社区检测的多目标遗传算法
Zahra Ghaffaripour, Alireza Abdollahpouri, P. Moradi
Problem of community detection has attracted many research efforts in recent years. Most of the algorithms developed for this purpose, take advantage of single-objective optimization methods which may be ineffective for complex networks. In addition, most of the networks in the real world are weighted, and therefore, this fact must be of special interest in order to achieve more precise communities in partitioning strategies. Accordingly, in this paper, a community detection method for weighted networks is proposed using multi-objective optimization based on genetic algorithm. Performance evaluation based on experiments on real datasets, shows that considering weights of the edges, leads to higher modularity factor.
近年来,社区检测问题引起了人们的广泛关注。大多数为此目的开发的算法都利用了单目标优化方法,这对于复杂的网络可能是无效的。此外,现实世界中的大多数网络都是加权的,因此,为了在分区策略中实现更精确的社区,这一事实必须特别重要。据此,本文提出了一种基于遗传算法的多目标优化加权网络社区检测方法。基于真实数据集的实验性能评价表明,考虑边的权重,可以获得更高的模块化系数。
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引用次数: 13
Optimization of the Ho-Kashyap classification algorithm using appropriate learning samples 使用适当的学习样本优化Ho-Kashyap分类算法
M. Dezfoulian, Younes MiriNezhad, Seyed Muhammad Hossein Mousavi, Mehrdad Shafaei Mosleh, Muhammad Mehdi Shalchi
This article is focusing on optimization of the Ho-Kashyap classification algorithm. Choosing a proper learning sample plays a significant role in runtime and accuracy of the supervised classification algorithms, specially the Ho-Kashyap classification algorithm. This article with combining the methods of Multi Class Instance Selection and Ho-Kashyap, not has only reduced the starting time of algorithm, but has improved the accuracy of this algorithm, using proper parameters. The results of this suggested method, in terms of accuracy and time, are evaluated and simulations have proved that MCIS method can choose the data that have more effectiveness on classification, using proper measures. If Ho-Kashyap algorithm classifies using more important data, it could be to save the time in classification process and even increases the accuracy of classification.
本文主要研究Ho-Kashyap分类算法的优化问题。选择合适的学习样本对监督分类算法,特别是Ho-Kashyap分类算法的运行时间和准确率有着重要的影响。本文将多类实例选择方法与Ho-Kashyap方法相结合,通过选择合适的参数,不仅缩短了算法的启动时间,而且提高了算法的准确率。本文从准确率和时间两方面对该方法进行了评价,仿真结果表明,MCIS方法可以在适当的度量下选择对分类更有效的数据。如果Ho-Kashyap算法使用更重要的数据进行分类,可以节省分类过程中的时间,甚至提高分类的准确性。
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引用次数: 6
Design of fault tolerant digital integrated circuits based on quadded transistor logic 基于四加晶体管逻辑的容错数字集成电路设计
Mohammad Reza Rohanipoor, B. Ghavami, Mohsen Raji
In this paper, we propose a new method based on logic gates including quadded transistors to improve the Soft Error Rate (SER) of combinational circuits. Since the proposed method imposes considerable area overheads, we cannot apply it to all gates of the circuit to improve the circuit SER. So, at first, we identify the gates which are more sensitive to soft errors using a computational model. Then, we propose a method in order to reduce the SER of the circuit. This method optimizes the circuit SER considering the overheads on circuit area. Experimental results based on simulations performed on ISCAS'85 benchmark circuits show that the method can provide an SER reduction of up to 19% with less than 53% area overhead.
本文提出了一种基于包含四层晶体管的逻辑门来提高组合电路软错误率的新方法。由于所提出的方法施加了相当大的面积开销,我们不能将其应用于电路的所有门,以提高电路的SER。因此,首先,我们使用计算模型来识别对软误差更敏感的门。然后,我们提出了一种降低电路SER的方法。该方法考虑了电路面积上的开销,优化了电路SER。在ISCAS’85基准电路上进行的仿真实验结果表明,该方法可以在面积开销小于53%的情况下将SER降低19%。
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引用次数: 2
A method for coverage optimization in wireless multimedia sensor networks 一种无线多媒体传感器网络覆盖优化方法
Jaber Pournazari, Mohammad Alaei, F. Yazdanpanah
Wireless Multimedia Sensor Networks (WMSNs) are composed of the number of video, audio, and scalar sensors which the proposed method is investigated on sensors equipped to cameras. In this paper a new method distributed is introduced for enhancing the environmental multimedia sensing coverage and recording in wireless multimedia sensor networks. In the proposed method nodes are prioritized and selected for rotating and replacement based on the sensing overlaps; the node with more overlapping areas, has higher priority. The goal is to enhance coverage ratio with reduction of multimedia node overlap. The prioritizing table is updated after each execution of the algorithm in order to select the best node. The proposed method of prioritizing, rotation, and movement, improve the capability of energy conservation and also coverage ratio in the network. The results of implementation and comparison with other methods show which the proposed method improves network coverage with the least imposing of nodes movement and rotation.
无线多媒体传感器网络(wmsn)由多个视频、音频和标量传感器组成,该方法在摄像机上的传感器上进行了研究。本文介绍了一种在无线多媒体传感器网络中增强环境多媒体感知覆盖和记录的新方法。在该方法中,根据感知重叠对节点进行优先级排序和选择以进行旋转和替换;重叠区域越多的节点优先级越高。目标是通过减少多媒体节点重叠来提高覆盖率。每次算法执行后,优先级表都会更新,以便选择最佳节点。提出的排序、旋转和移动的方法,提高了网络的节能能力和覆盖率。实施结果和与其他方法的比较表明,该方法在最小的节点移动和旋转影响下提高了网络覆盖率。
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引用次数: 3
Target words selection for a Persian brain-computer-interface-based speller using language model 基于语言模型的波斯语脑机接口拼写器目标词选择
Hessam Amini, H. Veisi, Elham Mohammadi
Utilizing a language model in a brain-computer-interface-based (BCI-based) speller has been proven helpful in improving the performance of the system. Since it is important to evaluate the effect of the language model on the system, it is necessary to choose the words in a way that they can represent different levels of difficulty based on the language model. In this paper, we will give a brief introduction to the Persian BCI speller that we are going to develop. Then, we will explain how we select words with three levels of difficulty based on both a character-level and a word-level language model. We consider three levels of difficulty, named Easy, Medium and Hard, for which we have selected 3, 6 and 3 words, respectively. We then make a sentence for each of the words, so that the words are presented within a context. By doing so, the language model can predict the possibility of occurrence for each word. The novelty of this paper is in the fact that so far, there have not been implemented any Persian BCI spellers utilizing a language model as an aid in character recognition using the brain signals.
在基于脑机接口(bci)的拼写器中使用语言模型已被证明有助于提高系统的性能。由于评估语言模型对系统的影响是很重要的,所以有必要根据语言模型选择能够代表不同难度级别的单词。在本文中,我们将简要介绍我们将要开发的波斯语BCI拼写器。然后,我们将解释如何根据字符级和单词级语言模型选择具有三个难度级别的单词。我们考虑三个难度级别,分别命名为简单、中等和困难,我们分别选择了3个、6个和3个单词。然后我们为每个单词造一个句子,这样这些单词就会出现在一个上下文中。通过这样做,语言模型可以预测每个单词出现的可能性。本文的新颖之处在于,到目前为止,还没有实现任何波斯语BCI拼写器,利用语言模型作为使用大脑信号进行字符识别的辅助。
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引用次数: 2
Linear merging reduction: A workflow diagram simplification method 线性归并简化:一种工作流图的简化方法
Tahereh Koohi-Var, M. Zahedi
Workflows are visualized in different ways. In most cases real workflows deviates from hand-made models and they can be plotted as a graphical diagram. Displaying Graphical diagrams with large amounts of data is difficult; because we are limited to two-dimensional computer screens or papers. In some cases it is essential to transform workflows to reduced ones, especially with reducing visualization complexity. In this paper, reduction of workflows is investigated in both structure and semantic aspects. This paper also introduces commonplace methods of reducing complexity of workflow visualizations. Finally we present linear merging reduction, as a technique to reduce workflow complexity.
工作流以不同的方式可视化。在大多数情况下,实际的工作流偏离手工制作的模型,它们可以绘制为图形图表。显示具有大量数据的图形图表是困难的;因为我们被限制在二维的电脑屏幕或纸张上。在某些情况下,将工作流转换为简化的工作流是必要的,特别是在降低可视化复杂性的情况下。本文从结构和语义两个方面研究工作流的约简。本文还介绍了降低工作流可视化复杂性的常用方法。最后,我们提出了线性归并约简,作为一种降低工作流复杂度的技术。
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引用次数: 3
M-commerce: The state of the art, challenges, and cloud-based solutions 移动商务:现状、挑战和基于云的解决方案
Saeid Mohammadpour, Farnaz Tafte
M-commerce has gained so much attention in recent years. M-commerce was originally coined in 1997 by Kevin Duffey at the launch of the Global Mobile Commerce Forum to mean “delivery of electronic commerce capabilities directly into the customer's hand, anywhere, via wireless technology”. This portable form of commerce is of so much benefit for the stakeholders including the organizations and end-users. However, it has some challenges that need to be mitigated or totally addressed if possible. Cloud computing, specifically in its mobile form, is capable of presenting some solutions for the existent challenges. In this research, the most common challenges and weak areas of M-commerce is considered, and their corresponding cloud solutions are presented. Additionally, based on the available M-commerce reference model, a new layered structure including the cloud services is provided, and a new cloud-based M-commerce architecture is suggested accordingly.
近年来,移动商务获得了如此多的关注。移动商务(M-commerce)一词最初是由凯文·达菲(Kevin Duffey)在1997年全球移动商务论坛(Global Mobile Commerce Forum)的启动仪式上提出的,意思是“通过无线技术将电子商务能力随时随地直接交付到客户手中”。这种可移植的商业形式对包括组织和最终用户在内的利益相关者有很多好处。然而,如果可能的话,它也有一些需要减轻或完全解决的挑战。云计算,特别是移动形式的云计算,能够为现有的挑战提供一些解决方案。本研究考虑了移动商务最常见的挑战和薄弱环节,并提出了相应的云解决方案。在现有移动商务参考模型的基础上,提出了包含云服务的新的分层结构,并据此提出了一种新的基于云的移动商务架构。
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引用次数: 3
A distributed method based on mobile agent to detect Sybil attacks in wireless sensor networks 基于移动代理的分布式无线传感器网络Sybil攻击检测方法
Sepide Moradi, M. Alavi
Wireless sensor networks are being used more and more. Sensor nodes can be distributed in hazardous environments to collect data. As these environments are usually unsecured, provide security in wireless sensor networks is vital. Detecting attacks in sensor networks is inevitable to provide security. Various attacks threaten sensor networks one of which is Sybil attack, which can be a big threat for geographical routing protocols and multi-path routing. In this paper, a distributed method has been presented using mobile agents and local information of each sensor to detect Sybil attack. The results of simulation show the efficacy of this method in comparison with previous methods.
无线传感器网络的应用越来越广泛。传感器节点可以分布在危险环境中收集数据。由于这些环境通常是不安全的,因此在无线传感器网络中提供安全性至关重要。在传感器网络中检测攻击是保证安全的必然选择。威胁传感器网络的攻击多种多样,Sybil攻击是其中之一,它对地理路由协议和多路径路由构成了很大的威胁。本文提出了一种利用移动代理和各传感器的本地信息来检测Sybil攻击的分布式方法。仿真结果表明了该方法的有效性。
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引用次数: 12
Correlation analysis as a dependency measures for inferring of time-lagged gene regulatory network 相关性分析是推断基因调控网络时滞的依赖手段
Ali Gorji Sefidmazgi, Fatemeh Ahmadi-Abkenari, Seid Abolghasem Mirroshandel
One of the main aims of molecular biology is to understand regulatory relationships between the cellular components. Most of the methods developed to extract gene regulatory relationship from time-delayed gene expression data are not sensitive to non-linearity and non-monotonicity of the cellular system. Here we present four various time-lagged correlation methods including Pearson, Spearman, Kendall and distance correlation and an information theoretic measure (Mutual Information). We propose a method to limit potential regulators while introducing a new dynamic threshold. The SOS DNA Repair of E. coli dataset is used for simulation. The methods are implemented in R Programming language, and the results show the performance of the proposed method to reveal the structure of gene regulatory network.
分子生物学的主要目的之一是了解细胞成分之间的调节关系。大多数从延迟基因表达数据中提取基因调控关系的方法对细胞系统的非线性和非单调性不敏感。本文提出了四种不同的时间滞后相关方法,包括Pearson、Spearman、Kendall和距离相关以及一种信息理论度量(互信息)。我们提出了一种方法来限制潜在的监管者,同时引入一个新的动态阈值。模拟使用大肠杆菌的SOS DNA修复数据集。该方法在R编程语言中实现,结果表明了该方法在揭示基因调控网络结构方面的有效性。
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引用次数: 6
Performance evaluation of spectrum mobility in multi-homed mobile IPv6 cognitive radio cellular networks 多归属移动IPv6认知无线蜂窝网络频谱迁移性能评估
Mehran Moghaddam, N. Movahhedinia, M. Khayyambashi, F. Hendessi
Technological developments alongside VLSI achievements enable mobile devices to be equipped with multiple radio interfaces which is known as multihoming. On the other hand, the combination of various wireless access technologies, known as Next Generation Wireless Networks (NGWNs) has been introduced to provide continuous connection to mobile devices in any time and location. Cognitive radio networks as a part of NGWNs aroused to overcome spectrum inefficiency and spectrum scarcity issues. In order to provide seamless and ubiquitous connection across heterogeneous wireless access networks in the context of cognitive radio networks, utilizing Mobile IPv6 is beneficial. In this paper, a mobile device equipped with two radio interfaces is considered in order to evaluate performance of spectrum handover in terms of handover latency. The analytical results show that the proposed model can achieve better performance compared to other related mobility management protocols mainly in terms of handover latency.
随着VLSI的成就,技术的发展使移动设备能够配备多个无线电接口,这被称为多归。另一方面,被称为下一代无线网络(NGWNs)的各种无线接入技术的组合已经被引入,以在任何时间和地点提供与移动设备的连续连接。认知无线网络作为下一代无线网络的一部分,是为了克服频谱效率低下和频谱稀缺的问题而产生的。为了在认知无线网络的背景下提供跨异构无线接入网络的无缝和无处不在的连接,利用移动IPv6是有益的。本文以具有两个无线电接口的移动设备为研究对象,从频谱切换时延的角度对频谱切换性能进行评估。分析结果表明,与其他相关移动管理协议相比,该模型主要在切换延迟方面具有更好的性能。
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引用次数: 1
期刊
2016 Eighth International Conference on Information and Knowledge Technology (IKT)
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