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2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)最新文献

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Enhanced lexicon based model for web forum answer detection 增强的基于词典的web论坛答案检测模型
A. I. Obasa, N. Salim, Atif Khan
A Web forum is an online community that connects people with common interest together. Within the forum, members interact to share knowledge, expertise and resources. A major issue in detecting web forum answers is to establish a good relationship between the question and the candidate answer. This relationship is often established using lexical features. Web forum text, unlike news articles, is faced with noise challenges, and this hinders the performance of lexical features. In this paper, we investigate the effect of noise on most of the common lexical features used in mining web forum answers with a view of normalizing it to enhance the performance of the features. We propose 13 lexical features for exploration. These features belong to four different quality dimensions that can guarantee good answers. We empirically address the following questions in the paper. What category of noise is more rampant in web forum? What lexical mining features are more susceptible to noise? Will normalization of forum corpus enhance the performance of lexical features in detecting web forum answers? We used three publicly available datasets of varying technical degrees for the experiments. The experimental results revealed that proper normalization of web forum corpora can yield up to 9% increase in the performance of the lexical features.
网络论坛是一个将有共同兴趣的人联系在一起的在线社区。在论坛中,成员们相互交流,分享知识、专业知识和资源。检测网络论坛答案的一个主要问题是在问题和候选答案之间建立良好的关系。这种关系通常是通过词汇特征来建立的。与新闻文章不同,Web论坛文本面临着噪声的挑战,这阻碍了词汇特性的表现。在本文中,我们研究了噪声对挖掘web论坛答案中使用的大多数常见词汇特征的影响,以期对其进行规范化以提高特征的性能。我们提出了13个词汇特征进行探索。这些特征属于四个不同的质量维度,可以保证好的答案。本文对以下问题进行了实证研究。在网络论坛上,哪一类噪音更猖獗?哪些词法挖掘特征更容易受到噪声的影响?论坛语料库的规范化是否会提高词汇特征在论坛答案检测中的性能?我们在实验中使用了三个不同技术程度的公开数据集。实验结果表明,对网络论坛语料库进行适当的规范化处理可以使词汇特征的性能提高9%。
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引用次数: 4
Ada-boosting Extreme learning machines for handwritten digit and digit strings recognition 用于手写数字和数字字符串识别的ada增强极限学习机
Raid Saabni
Automatic handwriting recognition of digit strings, is of academic and commercial interest. Current algorithms are already quite good at learning to recognize handwritten digits, which enables to use them for sorting letters and reading personal checks. Neural networks are a powerful technology for classification of visual inputs arising from documents, and have been extensively used in many fields due to their ability to approximate complex nonlinear mappings directly from the input sample. Different variations of Multi-Layer Neural Networks (MLNN), using back propagation training algorithm, yield a very high recognition rates on handwritten digits benchmarks, but lacks the aspect of speed in training time. Learning time is an important factor while designing any computational intelligent algorithm for classifications, especially when online improving by adapting new samples is needed. Extreme Learning Machine (ELM) has been proposed as an alternative ANN, which significantly reduce the amount of time needed to train a MLNN and has been widely used for many applications. The ELM analytical process of learning reduces the time of learning comparing to back propagation by avoiding the process of iterative learning. In this paper, we present a process which boosts few Extreme learning machines using Ada-boosting in order to improve the recognition rates iteratively. A pre-processing step is used to improve the ability of the ELM, and special weighting process to improve the boosting process. To evaluate the presented approach, we have used the (HDRC 2013) data-set which have bee used at the 2014 competition on handwritten digit string recognition organized in conjunction with ICFHR2014 of Western Arabic digit string recognition with varying length. Very high accurate results in terms of very low error rates while keeping efficient time of online training were achieved by the presented approach, which enables on demand time/precision tradeoff.
数字字符串的自动手写识别,具有学术和商业价值。目前的算法已经很擅长学习识别手写数字,这使得它们可以用来分类信件和阅读个人支票。神经网络是一种强大的视觉输入分类技术,由于其能够直接从输入样本近似复杂的非线性映射,因此在许多领域得到了广泛的应用。不同形式的多层神经网络(MLNN)在使用反向传播训练算法的情况下,在手写数字的基准测试中获得了很高的识别率,但在训练时间上缺乏速度方面的优势。在设计任何计算智能分类算法时,学习时间是一个重要因素,特别是当需要通过适应新样本来在线改进时。极限学习机(Extreme Learning Machine, ELM)作为一种可替代的人工神经网络被提出,它大大减少了训练MLNN所需的时间,并被广泛应用于许多应用中。与反向传播相比,ELM分析学习过程避免了迭代学习过程,减少了学习时间。在本文中,我们提出了一种利用数据增强技术来增强少数极端学习机的过程,以迭代提高识别率。采用预处理步骤提高了ELM的能力,并采用特殊的加权过程改进了升压过程。为了评估所提出的方法,我们使用了(HDRC 2013)数据集,该数据集已在2014年手写数字字符串识别竞赛中使用,该竞赛与不同长度的西方阿拉伯数字字符串识别ICFHR2014一起组织。该方法在保持有效的在线培训时间的同时,以非常低的错误率获得了非常准确的结果,实现了随需应变的时间/精度权衡。
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引用次数: 5
Coherent MFSK detection on MIMO frequency selective channels MIMO选频信道的相干MFSK检测
R. Abe, Y. Iwanami
MFSK (M-ary Frequency Shift Keying) signal has a constant envelope and is suited to power efficient nonlinear amplification. However, the application of MFSK signals to spectrally efficient and reliable MIMO (Multiple Input Multiple Output) communication schemes has not been so popular up to now. Maybe this comes from the fact that the signal processing for spatially multiplexed MIMO signal is usually done using linear matrix algebra and the application of linear signal processing techniques to nonlinear FM signals such as MFSK is difficult. In this paper, we study the coherent detection of MFSK signals based on MLD (Maximum Likelihood Detection) approach on MIMO frequency selective channels. In the proposed receiver, the receive replica signal which is frequency and phase synchronized is generated and the signal distance between the receive signal and the receive replica signal is minimized. By extending the observation length of receive signal, we improved the BER characteristics. We also reduced the complexity of MLD by using the SE (Schnorr Euchner) algorithm of Sphere Decoding to obtain ML (Maximum Likelihood) solution.
MFSK (m - ry频移键控)信号具有恒定的包络,适合于功率高效的非线性放大。然而,将MFSK信号应用于频谱高效、可靠的MIMO (Multiple Input Multiple Output,多输入多输出)通信方案目前还没有得到广泛的应用。这可能是因为空间复用MIMO信号的信号处理通常使用线性矩阵代数,而线性信号处理技术在非线性调频信号(如MFSK)中的应用是困难的。本文研究了基于MLD (Maximum Likelihood detection)方法的MIMO选频信道中MFSK信号的相干检测。在该接收机中,产生频率和相位同步的接收副本信号,并使接收信号与接收副本信号之间的信号距离最小。通过延长接收信号的观测长度,改善了误码率特性。我们还使用Sphere解码的SE (Schnorr Euchner)算法来降低MLD的复杂度,从而获得ML (Maximum Likelihood)解。
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引用次数: 1
Fuzzy logic based spectrum handoff decision for prioritized secondary users in cognitive radio networks 认知无线网络中基于模糊逻辑的优先次用户频谱切换决策
M. E. Bayrakdar, A. Çalhan
Recent studies have revealed that due to the increasing number of wireless users, spectrum scarcity problem has arisen. In order to alleviate this problem, cognitive radio technology has emerged with the aim of using available spectrum in an opportunistic manner by secondary users. While utilizing licensed spectrum, it is inevitable for secondary users not to cause any interference to the primary users. Once the primary user activity is detected on the licensed channel at the time of on-going transmission of secondary user, secondary user must either change the licensed spectrum or stop its transmission. This case of changing spectrum by secondary user is known as spectrum handoff. In this paper, fuzzy logic based spectrum handoff decision is carried out by using data rate, channel usage, and priority. Different data traffics such as audio, and video are considered for secondary users. In order to simulate data traffics, two different simulation scenarios are realized. Besides, several priority classes are taken into account for urgent and real-time communications. In the proposed system, it is seen that accurate spectrum handoff decisions are made for different traffic types.
近年来的研究表明,由于无线用户数量的不断增加,出现了频谱稀缺的问题。为了缓解这一问题,出现了认知无线电技术,其目的是由次级用户以机会主义的方式利用现有频谱。在利用许可频谱的过程中,二级用户不可避免地会对一级用户造成干扰。一旦在许可信道上检测到主用户活动,而辅助用户正在进行传输,则辅助用户必须更改许可频谱或停止其传输。这种由辅助用户改变频谱的情况称为频谱切换。本文利用数据速率、信道利用率和优先级进行基于模糊逻辑的频谱切换决策。次要用户考虑不同的数据流量,如音频和视频。为了模拟数据流量,实现了两种不同的仿真场景。此外,还考虑了紧急和实时通信的几个优先级。在提出的系统中,可以看到针对不同的业务类型做出了准确的频谱切换决策。
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引用次数: 14
The Adaptive Population-based Simplex method 基于自适应种群的单纯形法
Mahamed G. H. Omran, M. Clerc
A novel, tuning-free, population-based simplex method for continuous function optimization is proposed. The proposed method, called Adaptive Population-based Simplex (APS), uses a population from which different simplexes are selected. In addition, a local search is performed using a hyper-sphere generated around the best individual in a simplex. The approach is easy to code and easy to understand. APS is compared with four state-of-the-art approaches on five real-world problems. The experimental results show that APS generally performs better than the other methods on the test problems.
提出了一种新颖的、无调优的、基于种群的单纯形方法用于连续函数优化。提出的方法称为基于自适应种群的单纯形(APS),它使用一个种群,从该种群中选择不同的单纯形。此外,使用围绕单纯形中最佳个体生成的超球执行局部搜索。这种方法易于编码,易于理解。APS在五个现实问题上与四种最先进的方法进行了比较。实验结果表明,APS在测试问题上的性能总体上优于其他方法。
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引用次数: 1
Estimation of muscle fatigue using wavelet decomposition 基于小波分解的肌肉疲劳估计
Basil M. Idrees, Omar Farooq
Muscle fatigue causes numerous injuries among workers in industries involving mechanical labour each year. This study explores a new feature based on energy of detail wavelet coefficient for muscle fatigue detection in the upper limb. The muscle fatigue data was generated after isometric muscle action. 7 subjects underwent 3 trails each using 3 channels corresponding to Biceps Brachii, Extensor Digitorum Communis and Flexor Carpi Radialis muscle respectively. It was found that the energy of detail coefficients of 3rd, 4th and 5th level of wavelet decomposition (15.625-125 Hz) increases as the muscle fatigue level increases. Moreover, it was also found that the intercept of regression curve plotted to approximate this increase and the rate of increase of the energy, had maximum value for the energy of 3rd level of wavelet decomposition followed by 4th and 5th level resp. To detect the onset of fatigue, the energy of coefficients of frequency 15.6-62.5 Hz at the start and end of duration of time for which the isometric contraction is performed is considered. The fatigue was detected among subjects when this average final energy value was approximately five times the initial value for 15.6-62.5 Hz range.
肌肉疲劳每年在涉及机械劳动的工业中造成许多工人受伤。研究了一种基于细节小波系数能量的上肢肌肉疲劳检测新特征。肌肉等长运动后产生肌肉疲劳数据。7名受试者分别使用肱二头肌、指共伸肌和桡侧腕屈肌对应的3个通道进行3次追踪。结果发现,随着肌肉疲劳程度的增加,小波分解的第3、4、5级细节系数(15.625 ~ 125 Hz)的能量增加。此外,我们还发现,绘制的近似能量增长的回归曲线截距和能量增长速率,在小波分解的第3级能量最大,其次是第4级和第5级。为了检测疲劳的开始,在进行等距收缩的时间开始和结束时,频率系数15.6-62.5 Hz的能量被考虑在内。在15.6 ~ 62.5 Hz范围内,当最终平均能量值约为初始能量值的5倍时,受试者出现疲劳。
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引用次数: 1
Fully automatic and computerized self-vision-screening system: Vision at own — An E-health service of self vision examination and screening 全自动、计算机化的自我视力筛查系统:视觉在自己——一种自我视力检查和筛查的电子健康服务
Ying-Yin Huang, Sandro Ropelato, M. Menozzi
In this study, a fully automatic vision screening system has been established. The present installation enables the testee to accomplish several vision tests in a self-examination environment, without requiring the assistance of a supervisor or examiner. Included vision tests are far- and near- visual acuity, color vision, stereo vision, contrast vision, and visual field test. Specifically designed vision test charts are used in order to provide an easy-to-understand task for the testee to perform. The screening system delivers an ergonomic task design regarding the user interface which includes the input device, software interface, and the test procedure. The whole system is portable and easy for setting up in various test environments. Test results are evaluated in real time by the computerized program and further provide the testee a printout sheet with examination results and necessary recommendations. Such a system is used for large vision screening campaigns in organizations and may be used in smart-home applications for self-health control.
本研究建立了一套全自动视力筛查系统。目前的安装使受测者能够在自我检查的环境中完成几项视力测试,而不需要主管或审查员的协助。视力测试包括远近视力、色觉、立体视觉、对比视觉和视野测试。使用专门设计的视力测试图表,以便为被测试者提供易于理解的任务。筛选系统提供关于用户界面的符合人体工程学的任务设计,该用户界面包括输入设备、软件界面和测试程序。整个系统具有便携性,便于在各种测试环境中进行设置。测试结果由计算机程序实时评估,并进一步向测试者提供打印出来的检查结果和必要的建议。这种系统用于组织中的大型视力筛查活动,并可用于智能家居应用中进行自我健康控制。
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引用次数: 4
Designing a web based non-immersive Virtual Environment Application (WB-NIVEA) for diagnosing dyslexic children' potential 设计一个基于web的非沉浸式虚拟环境应用程序(WB-NIVEA),用于诊断阅读障碍儿童的潜力
Jamilah Hamid, N. Ubaidullah, K. Samsudin, Aslina Saad
Developing virtual reality applications is more challenging compared to developing 2D or 3D multimedia applications as the former requires greater design details. The challenge becomes more intense when the VR applications will be deployed in diagnosing tasks. Against this backdrop, this paper discusses the design of VR application called `Web Based-Non Immersive Virtual Environment Application' (WB-NIVEA) that will be used to diagnose dyslexic children's potential. The design principles of WB-NIVEA is based on Sutcliffe's VR methodology, involving a series of phases: i) determining the type of VR, ii) selecting the appropriate modalities and interaction devices, iii) creating and modeling the 3D objects, iv) creating the proper terrains, and v) determining the type of agent. To make WB-NIVEA more robust, several optimization techniques were utilized. The design approach used in designing WB-NIVEA can be used as guidelines by application developers to develop non-immersive desktop virtual reality applications.
与开发2D或3D多媒体应用程序相比,开发虚拟现实应用程序更具挑战性,因为前者需要更多的设计细节。当虚拟现实应用程序将部署在诊断任务中时,挑战变得更加激烈。在此背景下,本文讨论了一种名为“基于Web的非沉浸式虚拟环境应用程序”(WB-NIVEA)的VR应用程序的设计,该应用程序将用于诊断阅读障碍儿童的潜力。WB-NIVEA的设计原则基于Sutcliffe的VR方法论,涉及一系列阶段:i)确定VR的类型,ii)选择适当的模式和交互设备,iii)创建和建模3D对象,iv)创建适当的地形,v)确定代理的类型。为了使WB-NIVEA更加健壮,使用了几种优化技术。在设计WB-NIVEA时使用的设计方法可以作为应用程序开发人员开发非沉浸式桌面虚拟现实应用程序的指导方针。
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引用次数: 0
Learning and modelling user interests using user feedback : A novel approach 使用用户反馈学习和建模用户兴趣:一种新颖的方法
Tarek Alloui, I. Boussebough, A. Chaoui
User profiles and interests have become essential for personalizing information search and retrieval. Indeed, traditional Information Retrieval Systems (IRS) don't integrate the user in the search process. Also, users do not always find what they need after a single query. Instead, they often issue multiple queries, incorporating what they learned from the previous results to iterate and refine how they express their information needs. So we rely on this process to learn the user information needs without asking him explicitly. This is achieved by capturing his judgments on the retrieved results. We consider also, in the construction of the user interests, what he is looking for and what the user doesn't want to find in the future results to build interests that best match his information needs.
用户档案和兴趣已成为个性化信息搜索和检索的必要条件。事实上,传统的信息检索系统(IRS)并没有将用户整合到搜索过程中。此外,用户并不总是在一次查询后找到他们需要的东西。相反,他们经常发出多个查询,结合他们从以前的结果中学到的东西来迭代和改进他们如何表达他们的信息需求。所以我们依靠这个过程来了解用户的信息需求,而不需要明确地问他。这是通过捕获他对检索结果的判断来实现的。在构建用户兴趣时,我们还会考虑用户在未来的结果中寻找什么和不希望找到什么,以构建最符合其信息需求的兴趣。
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引用次数: 0
Enhance security of advance encryption standard algorithm based on key-dependent S-box 基于依赖密钥的s盒增强了高级加密标准算法的安全性
A. Alabaichi, A. Salih
Cryptographic algorithms uniquely define the mathematical steps required to encrypt and decrypt messages in a cryptographic system. Shortly, they protect data from unauthorized access. The process of encryption is a crucial technique to ensure the protection of important electronic information and allows two parties to communicate and prevent unauthorized parties from accessing the information simultaneously. The process of encrypting information is required to be dynamic in nature to ensure protection from novel and advanced techniques used by cryptanalysts. The substitution box (S-box) is a key fundamental of contemporary symmetric cryptosystems as it provides nonlinearity to cryptosystems and enhances the security of their cryptography. This paper discusses the enhancement of the AES algorithm and describes the process, which involves the generation of dynamic S-boxes for Advance Encryption Standard (AES). The generated S-boxes are more dynamic and key-dependent which make the differential and linear cryptanalysis more difficult. NIST randomness tests and correlation coefficient were conducted on the proposed dynamic AES algorithm, their results showing that it is superior to the original AES with security verified.
加密算法唯一地定义了加密和解密加密系统中的消息所需的数学步骤。简而言之,它们保护数据免受未经授权的访问。加密过程是确保重要电子信息得到保护的一项关键技术,它允许双方进行通信,防止未授权方同时访问信息。加密信息的过程要求本质上是动态的,以确保对密码分析人员使用的新颖和先进技术的保护。替换盒(S-box)是当代对称密码系统的一个重要基础,它为密码系统提供了非线性,提高了密码系统的安全性。本文讨论了对AES算法的改进,描述了对AES算法进行改进的过程,其中涉及到高级加密标准(advanced Encryption Standard, AES)动态s盒的生成。生成的s盒更具动态性和密钥依赖性,这使得微分和线性密码分析变得更加困难。对提出的动态AES算法进行了NIST随机性测试和相关系数测试,结果表明该算法优于原始AES,并经过了安全性验证。
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引用次数: 44
期刊
2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)
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