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2010 13th International Conference on Computer and Information Technology (ICCIT)最新文献

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A cross layer framework for WLANs: Joint radio propagation and MAC protocol 无线局域网的跨层框架:联合无线电传播和MAC协议
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723912
N. Sarkar
This paper proposes a cross-layer design (CLD) framework called channel-aware buffer unit multiple access (C-BUMA) for improving wireless local area network (WLAN) performance. In the framework, the radio propagation (i.e. PHY layer) is combined with the medium access control (MAC) protocol for packet transmissions. By sharing channel information with the MAC protocol, the approach reduced unnecessary packet transmissions and hence improved system performance. Through performance evaluation, we demonstrate that our CLD can significantly improve network throughput and packet delay. The proposed C-BUMA is simple and can easily be implemented in 802.11 networks without changing hardware infrastructure and no additional costs. In this paper we describe C-BUMA and present two algorithms for the implementation of the framework.
为了提高无线局域网(WLAN)的性能,提出了一种称为信道感知缓冲单元多址(C-BUMA)的跨层设计框架。在该框架中,无线电传播(即物理层)与分组传输的介质访问控制(MAC)协议相结合。该方法通过与MAC协议共享信道信息,减少了不必要的数据包传输,从而提高了系统性能。通过性能评估,我们证明了我们的CLD可以显著提高网络吞吐量和数据包延迟。提议的C-BUMA很简单,可以很容易地在802.11网络中实现,而不需要改变硬件基础设施,也没有额外的成本。本文描述了C-BUMA,并给出了实现该框架的两种算法。
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引用次数: 3
An efficient seeded tree alignment algorithm for finding the similarity score of two RNA secondary structures 一种有效的种子树比对算法,用于寻找两个RNA二级结构的相似性评分
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723822
M. Rahman, A. K. Mia
This paper presents an efficient O(n3) time algorithm for solving the seeded tree alignment problem that finds the similarity score of two RNA secondary structures. In the seeded tree alignment problem, a large tree, representing an RNA secondary structure, is converted into a small tree known as seeded tree. After conversion, a comparison operation is being placed to find the similarity score of necessary seed pair of two seeded trees and finally the overall trees. The algorithm is more efficient than the best known algorithm that needs O(n3.5) time.
本文提出了一种求解种子树比对问题的O(n3)时间算法,该算法求解两个RNA二级结构的相似性得分。在种子树比对问题中,一棵代表RNA二级结构的大树被转换成一棵被称为种子树的小树。转换后,进行比较运算,求出两棵种子树所需的种子对的相似度,最后求出整个树的相似度。该算法比目前已知的耗时为0 (n3.5)的算法效率更高。
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引用次数: 0
Application of wireless sensor networks in forest fire detection under uncertainty 不确定条件下无线传感器网络在森林火灾探测中的应用
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723853
Sanchita Mal-Sarkar, I. Sikder, V. Konangi
This paper proposes a soft computing approach to manage uncertainty and rule discovery by reasoning over inconsistent, incomplete and fragmentary information using dominance-based rough set theories. A methodological and computational basis is illustrated in a sensor network application scenario of a forest fire detection system.
本文提出了一种软计算方法,通过基于优势的粗糙集理论对不一致、不完整和碎片信息进行推理来管理不确定性和规则发现。以森林火灾探测系统的传感器网络应用场景为例,阐述了方法和计算基础。
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引用次数: 12
A composition technique of multiple switching functions based on BDD 一种基于BDD的多开关函数组合技术
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723880
Md. Sayem Chowdury, G. M. Rokibul Hasan, K. H. Talukder
Binary Decision Diagram has a great impact on the Boolean function manipulation for its compressed and canonical presentation. In switching function organization ROBDD (Reduced Ordered Binary Decision Diagram) with a fixed variable ordering plays a significant role for its distinctiveness. Combination of multiple functions using switching operations has more redundant states. For removing these redundant states we apply ROBDD in this joining process. In this paper, we presented the way of combining n number of functions using ROBDD with a fixed variable ordering. In our proposed method at first, we compute each function's ROBDD over Shannon's expression. Then switching operations are going to be performed over these functions and ROBDD of the combinations of these functions are also computed. By this method, appearance of redundant states will be less. To construct an understandable and simple method, some examples have been used.
二值决策图以其压缩和规范化的表示方式对布尔函数的操作有很大的影响。在交换函数组织中,定变量排序的降阶二叉决策图(ROBDD)因其独特性而发挥着重要作用。使用切换操作的多个功能组合具有更多的冗余状态。为了消除这些冗余状态,我们在此连接过程中应用了ROBDD。在本文中,我们提出了使用固定变量排序的ROBDD组合n个函数的方法。在我们提出的方法中,我们首先计算Shannon表达式上每个函数的ROBDD。然后对这些函数进行切换操作,并计算这些函数组合的ROBDD。通过这种方法,冗余状态的出现将会减少。为了构造一个易于理解和简单的方法,用了一些例子。
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引用次数: 0
Spatial data mining on literacy rates and educational establishments in Bangladesh 关于孟加拉国识字率和教育机构的空间数据挖掘
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723890
A. K. M. Zahiduzzaman, Mohammed Nahyan Quasem, Mridul Khan, R. Rahman
Data mining is the process of extracting non-trivial patterns from large volume of data. It generates insight and turns the data into valuable information. A critical yet common flaw when performing data mining is to ignore the geographic locations from where the data is taken. When this geospatial attribute of the data is taken into consideration, the process is known to be geospatial data mining. This task essentially deals with the detection of spatial patterns in the data, the formulation of hypotheses and the assessment of descriptive or predictive spatial models. Spatial data mining could provide interesting and useful information to government, environmentalists and relevant decision makers' in the assessment of the relative performance of a particular geographic area. The results could also be used for causal analysis by domain experts. In our research we perform spatial data mining using literacy rates and the number of educational establishments. The data is from the 64 well defined administrative units of Bangladesh known as Zilas. This paper contains a summary of the theory, methodology and detailed analysis of results. We compare the results found by spatial model with classical regression model. The results demonstrate that spatial lag model outperforms the classical model in different perspectives.
数据挖掘是从大量数据中提取重要模式的过程。它产生洞察力,并将数据转化为有价值的信息。在执行数据挖掘时,一个关键而又常见的缺陷是忽略数据的地理位置。当考虑到数据的这个地理空间属性时,这个过程被称为地理空间数据挖掘。这项任务主要涉及数据中的空间模式的检测,假设的制定和描述性或预测性空间模型的评估。空间数据挖掘可以为政府、环境保护主义者和有关决策者评估特定地理区域的相对绩效提供有趣和有用的信息。结果也可用于领域专家的因果分析。在我们的研究中,我们使用识字率和教育机构的数量进行空间数据挖掘。数据来自孟加拉国被称为齐拉的64个明确界定的行政单位。本文包括理论概述、方法和结果的详细分析。将空间模型与经典回归模型的结果进行了比较。结果表明,空间滞后模型在不同角度上都优于经典模型。
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引用次数: 3
Robust synchronization technique for mobile DTV broadcasting system 移动数字电视广播系统的鲁棒同步技术
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723857
M. J. Rahman, Xianbin Wang, S. Park, H. Kim
Synchronization is considered an important design issue for the implementation of digital television (DTV) receiver, specially for proper reception of multipath distorted signal at low signal to noise ratio (SNR). This challenge is more pronounced in complex multipath channel scenarios and for high mobility applications in presence of carrier frequency offset (CFO). In this paper, time domain correlation technique based on multiple PN-511 sequences is proposed to improve the synchronization performance of DTV broadcasting system that is robust against multipath impairments and CFO. Due to self-resolving capability of the multipath components, proposed synchronization algorithm provides better performance than conventional single PN-511 based algorithm in complex multipath channel. Since only the received adjacent PN-511 sequences are considered in the correlation process, the proposed technique is robust against CFO as well. In addition, the proposed technique provides higher peak-to-noise ratio (PNR), therefore this technique can be effectively used at low SNR conditions. Further, maximum likelihood (ML) estimation for multiple PN-511 based algorithm is carried out to evaluate the feasibility of the proposed algorithm.
同步被认为是实现数字电视接收机的一个重要设计问题,特别是在低信噪比下正确接收多径失真信号。这一挑战在复杂的多径信道场景和载波频偏(CFO)存在的高移动性应用中更为明显。本文提出了一种基于多个PN-511序列的时域相关技术,以提高数字电视广播系统的同步性能,同时具有抗多径损伤和CFO的鲁棒性。在复杂的多径信道中,由于多径分量的自分辨能力,所提出的同步算法比传统的基于PN-511的单一同步算法具有更好的性能。由于在相关过程中只考虑接收到的相邻PN-511序列,因此所提出的技术对CFO也具有鲁棒性。此外,该技术提供了更高的峰噪比(PNR),因此该技术可以在低信噪比条件下有效使用。此外,对多个基于PN-511的算法进行了最大似然估计,以评估所提算法的可行性。
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引用次数: 3
Mining classification rules via an apriori approach 通过先验方法挖掘分类规则
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723889
S. M. Monzurur Rahman, M.R.A. Kotwal, Xinghuo Yu
Classification rules are the interest of most data miners to summarize the discrimination ability of classes present in data. A classification rule is an assertion, which discriminates the concepts of one class from other classes. The most classification rules mining algorithm aims to providing a single solution where multiple solutions exist. Moreover, it does not guarantee the optimal solution and user has not any control over the classification error rate. In this paper, we addressed these problems inherent in mostly used classification algorithms. A solution has been proposed to solve these problems and it has been tested with experimental data.
分类规则是大多数数据挖掘者的兴趣所在,用于总结数据中存在的类别的识别能力。分类规则是一种断言,它将一个类的概念与其他类区分开来。大多数分类规则挖掘算法的目标是在存在多个解的情况下提供单个解。此外,它不能保证最优解,用户无法控制分类错误率。在本文中,我们解决了大多数常用分类算法中固有的这些问题。针对这些问题提出了一种解决方案,并用实验数据进行了验证。
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引用次数: 2
Construction of a multi-level Hierarchical Quasi-Cyclic matrix with layered permutation for partially-parallel LDPC decoders 部分并行LDPC译码器的多层分层排列拟循环矩阵的构造
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723842
Vikram Arkalgud Chandrasetty, S. M. Aziz
Implementation of partially-parallel (Low-Density Parity-Check) LDPC decoders using unstructured random matrices is very complex and requires huge hardware resources. To alleviate the complexity and minimize resource requirements, structured LDPC matrices are used. This paper presents a novel technique for constructing a multi-level Hierarchical Quasi-Cyclic (HQC) structured matrix for LDPC decoders. A unique multi-level structure of the proposed matrix provides flexibility in generating different code lengths and code rates for various applications such as WiMAX, WLAN and DVB-S2. In addition, different combinations of permuted sub-matrices are inserted in layers, to provide virtual randomness in the LDPC matrix. Simulations results show that the HQC matrices generated using the proposed technique have a marginal loss of less than 0.1 dB at a bit error rate (BER) performance of 10−5, compared to unstructured random matrices. The proposed matrix therefore provides BER performance close to random matrices while significantly reducing hardware resource requirements.
使用非结构化随机矩阵实现部分并行(低密度奇偶校验)LDPC解码器非常复杂,需要大量的硬件资源。为了减轻复杂性和最小化资源需求,使用结构化LDPC矩阵。本文提出了一种用于LDPC解码器的多层分层拟循环(HQC)结构矩阵的构造方法。该矩阵具有独特的多级结构,可灵活地为WiMAX、WLAN和DVB-S2等各种应用生成不同的码长和码率。此外,在层中插入不同排列子矩阵的组合,以提供LDPC矩阵的虚拟随机性。仿真结果表明,与非结构化随机矩阵相比,使用该技术生成的HQC矩阵在误码率(BER)为10−5的情况下,边际损耗小于0.1 dB。因此,所提出的矩阵提供了接近随机矩阵的误码率性能,同时显著降低了硬件资源需求。
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引用次数: 4
Sensor Proxy Mobile IPv6 (SPMIPv6) - A framework of mobility supported IP-WSN 传感器代理移动IPv6 (SPMIPv6)——一个支持IP-WSN的移动框架
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723872
Md. Motaharul Islam, M. M. Hassan, E. Huh
IP based Wireless Sensor Networks (IP-WSN) are gaining importance for its broad range of applications in health-care, home automation, environmental monitoring, security & safety and industrial automation. In all of these applications mobility in sensor network with special attention to energy efficiency is a major issue to be addressed. Host based mobility management protocol is inherently unsuitable for energy inefficient IPWSN. So network-based mobility management protocol can be an alternative to the mobility supported IP-WSN. In this paper we propose a mobility supported IP-WSN protocol based on PMIPv6 called Sensor Proxy Mobile IPv6 (SPMIPv6). We present its architecture, message formats and also analyze its performance considering signaling cost and mobility cost. Our analyses show that the proposed scheme reduces the signaling cost by 67% and 60% as well as reduces mobility cost by 55% and 60% with comparison to MIPv6 and PMIPv6 respectively.
基于IP的无线传感器网络(IP- wsn)因其在医疗保健、家庭自动化、环境监测、安防和工业自动化方面的广泛应用而变得越来越重要。在所有这些应用中,传感器网络的移动性特别关注能源效率是需要解决的主要问题。基于主机的移动管理协议本身就不适合节能的IPWSN。因此,基于网络的移动性管理协议可以替代支持移动性的IP-WSN。本文提出了一种基于PMIPv6的可移动性IP-WSN协议,称为传感器代理移动IPv6 (SPMIPv6)。介绍了其结构、消息格式,并从信令成本和移动成本两方面分析了其性能。我们的分析表明,与MIPv6和PMIPv6相比,该方案的信令成本分别降低了67%和60%,移动成本分别降低了55%和60%。
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引用次数: 20
A multivalued storage system using memristor 一种使用忆阻器的多值存储系统
Pub Date : 2010-12-01 DOI: 10.1109/ICCITECHN.2010.5723881
Faisal Mohsin
For many years the only known passive circuit elements were resistor, inductor and capacitor. In 1971, Leon Chua showed using argument that there should exist another passive element which he named memristor. It is basically a resistor whose resistance increases when current flows through it from one direction and decreases when current flows from the other direction. After 37 years researchers of HP became able to build world's first working memristor and surprised the electronics community. Chua proved that the characteristics of a memristor cannot be simulated using resistor, capacitor and inductor only and hence it is a fundamental element. Many new types of circuits can be built using memristor in it. But as it is a very new element so the no. of circuits is only a few. As memristor can have many resistance levels, we can use some discrete value as different logic level and thus can use in multivalued logic system. In this paper a method has been shown to achieve those different levels. Using this method we can use an array of memristor for making a non-volatile multivalued data storage system‥
多年来,唯一已知的无源电路元件是电阻、电感和电容器。1971年,蔡列用论证的方法证明了应该存在另一种无源元件,他将其命名为忆阻器。它基本上是一个电阻,当电流从一个方向流过它时,它的电阻增加,当电流从另一个方向流过时,它的电阻减小。37年后,惠普的研究人员制造出了世界上第一个可工作的忆阻器,震惊了电子行业。蔡证明了记忆电阻器的特性不能仅用电阻器、电容器和电感来模拟,因此它是一个基本元件。使用忆阻器可以构建许多新型电路。但由于它是一个非常新的元素,所以没有。电路只是少数。由于忆阻器可以有多个电阻电平,我们可以使用一些离散值作为不同的逻辑电平,从而可以在多值逻辑系统中使用。本文提出了一种实现这些不同层次的方法。使用这种方法,我们可以使用一组忆阻器来制造一个非易失的多值数据存储系统
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引用次数: 5
期刊
2010 13th International Conference on Computer and Information Technology (ICCIT)
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