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2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences最新文献

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Using Ontology for Associating Web Multimedia Resources with the Holy Quran 利用本体实现Web多媒体资源与古兰经的关联
Y. Abdelhamid, Mostafa Mahmoud, T. El-Sakka
There is a huge wealth of multimedia web resources related to the sciences of the Holy Quran, including "Tafseer" of the Holy Quran, teaching the provisions of recitation, the stories of the Holy Quran, and many other categories of resources. There is no doubt that these resources would help in understanding the verses of the Holy Quran, clarifying its meaning, and specifying the right way of applying provisions of its recitation, especially for children where the audio visual effect of the multimedia resources would have a great impact on them. Ontology is the explicit formal specification of the terms in a domain and the relations between them. It has been used extensively for knowledge sharing, application integration, and the most for providing the capability of machines to understand and exchange web content. This paper addresses the possibility of using Ontology for linking the verses of the Holy Quran with the multimedia resources found on the web. The proposed system will provide the capability of dynamically searching the web for resources related to the verses of the Holy Quran based on common ontological terms.
有大量与《古兰经》科学相关的多媒体网络资源,包括《古兰经》的“塔夫瑟尔”、背诵的教学规定、《古兰经》的故事和许多其他类别的资源。毫无疑问,这些资源将有助于理解《古兰经》的经文,澄清其含义,并指定正确的方法来应用其背诵条款,特别是对儿童来说,多媒体资源的视听效果会对他们产生很大的影响。本体论是对一个领域内的术语及其之间的关系的明确的形式化说明。它已被广泛用于知识共享、应用程序集成,并最广泛地用于提供机器理解和交换web内容的能力。本文探讨了利用本体将《古兰经》经文与网络上的多媒体资源连接起来的可能性。提出的系统将提供基于共同本体术语动态搜索与《古兰经》经文相关的网络资源的能力。
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引用次数: 10
Towards a Comprehensive Online Portal and Mobile Friendly Qur'an Application 走向全面的在线门户和移动友好的古兰经应用
Z. Adhoni, H. Al Hamad, A. A. Siddiqi, Latifa El Mortaji
This paper aims to provide a detailed account of the research and development efforts put in the design and development of a complete and comprehensive online cloud Qur'an portal. This portal will make all the reading and resource sections accessible to the audience whether they are using laptops, PCs, mobile, tablet, or personal digital assistants. In its completed form, the portal will cover almost all themes related to Qur'an, such as 'Al-Mus'haf', 'reciter', 'translation', 'search', 'study materials', and 'videos of scholars on Tajweed'. The application will provide a specific widget interface on a mobile phone, enabling quick access and implementing the specific multimedia features of a mobile phone. A Qur'an authentic translation for non-Arabic users is also available, and transliteration of Qur'an in Urdu for people who cannot read Urdu but understand it will also be included. It will also promote the research and study of Qur'an through an easy Qur'an search tools.
本文旨在详细介绍在设计和开发一个完整、全面的在线云《古兰经》门户网站方面所做的研究和开发工作。该门户将使所有的阅读和资源部分都可供使用笔记本电脑、pc、移动设备、平板电脑或个人数字助理的读者访问。在其完整的形式中,门户网站将涵盖几乎所有与古兰经相关的主题,例如“Al-Mus'haf”,“背诵者”,“翻译”,“搜索”,“学习材料”和“Tajweed学者的视频”。该应用程序将在移动电话上提供一个特定的小部件界面,使快速访问和实现移动电话的特定多媒体功能。为非阿拉伯用户提供的《古兰经》原版翻译,以及为不懂乌尔都语但懂乌尔都语的人提供的《古兰经》乌尔都语音译也将包括在内。它还将通过一个简单的古兰经搜索工具促进古兰经的研究和学习。
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引用次数: 18
Video Replacement with Audio Plus Kinect-Based Gestures for Qur'an E-Learning to Reduce Network Traffic 古兰经电子学习用音频和基于动作的手势代替视频以减少网络流量
Saqib Rasool, Muhammad Suhail Amir, Usman Asghar, H. Tariq, Mudassar Iqbal, Arooj Ejaz
Kinect is a motion sensing device by Microsoft that can be used for many different purposes.We have explored it's usage in e-learning by introducing it for Qur'an e-learning. This service can be availed by both instructors and students through our online platform of Aalims. It is further divided into two modules. One is implemented for instructor where it conducts the lecture in front of Kinect, which is used for sensing gestures of instructor. These gestures along with voice are then broadcasted to all connected students using peer-topeer connection of WebRTC. Other module is at the students' end that is based on virtual board with Qur'an verses having some highlighted text. Instructor can remotely control highlighted text in front of student, just through his gestures and students only need to have WebRTC enabled browser to attend the lecture. However, instructor needs to have Kinect device installed for gesture recognition. Alternatively, instructor can also use keyboard navigational keys to control the highlighted text. We have also implemented both techniques of audio/video broadcast and audio/gestures broadcast for Qur'an e-learning and experiments proved that replacement of audio/video with audio/gestures consumes less network traffic. Hence we have replaced video streaming with audio plus gestures.
Kinect是微软的一款动作感应设备,可以用于许多不同的目的。通过将其引入《古兰经》网络学习,探讨了它在网络学习中的应用。教师和学生都可以通过Aalims在线平台使用这项服务。它进一步分为两个模块。一种是为教师设计的,它在Kinect前讲课,Kinect用于感应教师的手势。这些手势和声音随后会通过WebRTC的对等连接广播给所有连接的学生。另一个模块是在学生端,它基于虚拟板,古兰经经文有一些突出显示的文本。教师可以远程控制学生面前突出显示的文本,只需通过他的手势,学生只需要有启用了WebRTC的浏览器来参加讲座。然而,教练需要安装Kinect设备进行手势识别。或者,教师也可以使用键盘导航键来控制高亮显示的文本。我们还实现了古兰经电子学习的音频/视频广播和音频/手势广播两种技术,实验证明,用音频/手势代替音频/视频消耗的网络流量更少。因此,我们用音频加手势取代了视频流。
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引用次数: 0
Arabic Phonemes Transcription Using Learning Vector Quantization: "Towards the Development of Fast Quranic Text Transcription" 利用学习向量量化的阿拉伯文音素转录——《古兰经》文本快速转录的发展
K. Nahar, W. Al-Khatib, M. Elshafei, H. Al-Muhtaseb, M. Alghamdi
In this paper, we investigated the use of Learning Vector Quantization (LVQ) for phoneme transcription in Arabic speech recognition systems. We used Arabic speech corpus of TV news clips. Then, we employed feature vectors, which embed the frame neighboring correlation information between adjacent phonemes to replace the traditional trip hones models. Next, we generated the phonemes codebooks using the K-means splitting algorithm. After that, we trained the generated codebooks using the LVQ algorithm. When using the trained LVQ codebooks in utterance phoneme transcription of an open vocabulary test corpus, the phoneme recognition rate was 72% without the use of any added phoneme big rams or HMM models. The results of this research if improved could be used to serve the holy Quran text transcription without any phonemes big rams (phonemes language model). This would increase the speed of the Quranic speech to text transcription and creates the infrastructure of suitable high speed automatic identification system of Quranic sounds recognition and translation.
在本文中,我们研究了在阿拉伯语语音识别系统中使用学习向量量化(LVQ)进行音素转录。我们使用了电视新闻片段的阿拉伯语语料库。然后,我们采用嵌入相邻音素之间的帧相邻相关信息的特征向量来取代传统的旅行特征模型。接下来,我们使用K-means分割算法生成音素码本。之后,我们使用LVQ算法训练生成的码本。将训练好的LVQ码本用于开放词汇测试语料库的语音音素转录时,在不使用任何添加音素大图或HMM模型的情况下,音素识别率为72%。本研究的结果如果得到改进,可用于无音素的《古兰经》文本转录(音素语言模型)。这将提高《古兰经》语音转文本的速度,并为适合的《古兰经》语音识别和翻译的高速自动识别系统奠定基础。
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引用次数: 1
Adaptive Switching of Traffic between WebRTC and WebSocket Based on Battery Status of Portable Devices 基于便携式设备电池状态的webbrtc与WebSocket自适应流量切换
Saqib Rasool, H. Mukhtar
Since the sale of portable devices has already crossed the PCs' sale in 2011, therefore, it is more important to offer cross platform services by targeting these platforms. One such service is providing live Qur'an recitation on these devices via Internet. Emergence of latest HTML5 standards has tremendously increased the power and capacity of the web based applications. Moreover, many of the features that were previously confined only to third party plug-ins are now natively available in web-browsers. We have used two HTML5 standards to facilitate broadcast of Qur'an recitation using native power of web-browsers. These two standards are WebSocket and WebRTC. The tradeoff between using WebSocket or WebRTC is that of server load vs. power consumption. For the same intention, an algorithm is developed to automatically switch between webRTC and WebSocket to ensure optimal battery consumption for portable devices. It also reduces the load at server by shifting broadcast to the browser in the presence of permanent power source or adequate availability of battery.We have compared our dynamic broadcasting algorithm with simple broadcast using WebRTC and have proved that our dynamic algorithm helps to reduce the server load and also helps in maintaining battery for longer time intervals.
由于便携式设备的销量在2011年已经超过了个人电脑的销量,因此针对这些平台提供跨平台服务就显得更加重要。其中一项服务是通过互联网在这些设备上提供《古兰经》的现场背诵。最新HTML5标准的出现极大地增加了基于web的应用程序的功能和容量。此外,许多以前只局限于第三方插件的功能现在可以在web浏览器中本地使用。我们使用了两种HTML5标准,利用浏览器的原生功能,方便播放古兰经背诵。这两个标准是WebSocket和WebRTC。使用WebSocket或WebRTC之间的权衡是服务器负载与功耗的权衡。出于同样的目的,我们开发了一种算法在webbrtc和WebSocket之间自动切换,以确保便携式设备的最佳电池消耗。它还通过在有永久电源或电池足够可用性的情况下将广播转移到浏览器来减少服务器的负载。我们将我们的动态广播算法与使用WebRTC的简单广播算法进行了比较,证明了我们的动态算法有助于减少服务器负载,也有助于延长电池的维护时间间隔。
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引用次数: 3
Voice Search in the Holy Quran 《古兰经》中的语音搜索
Guezouli Larbi
The holy Quran is sacred book of Muslims. The use of this book is very frequent either for reading, for memorization or for the search of a verse of Quran dealing with a particular subject. Muslims find difficulties in the use of this book in his audio format and especially in the search for a verse. For this, and to help Muslims, we focus our work on the problem of finding a verse in the holy Quran. The search will be in voice mode where the user dictates a verse into microphone. The goal is to receive the verse dictated by user from the microphone and compare it with all verses of holy Quran. It returns then the closest verse to the desired one. This goal requires a great work which will be proposed as a doctoral subject. In this paper we propose to acquire the query by playing a verse of the database and to capture it by microphone. This paper presents a new system that identifies an audio subsequence (requested verse of Holy Quran) using basic audio descriptors. Each audio document of corpus (all verses of Holy Quran) is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. Therefore, an audio signal is represented by a sequence of characteristics called in this paper "audio fingerprint". The search process is based on a new concept called "interference wave". This wave is generated from the content of audio signals, and used to calculate the similarity rate between two audio signals.
《古兰经》是穆斯林的圣书。这本书的使用是非常频繁的,无论是阅读,记忆或搜索古兰经的诗句处理一个特定的主题。穆斯林在使用这本书的音频格式时发现困难,特别是在寻找经文时。为此,也为了帮助穆斯林,我们的工作重点是在神圣的《古兰经》中找到一节经文。搜索将在语音模式下,用户口述诗句到麦克风。目标是接收用户从麦克风口述的经文,并将其与《古兰经》的所有经文进行比较。然后返回最接近所需的诗句。这一目标需要一个伟大的工作,将作为博士课题提出。在本文中,我们提出了通过播放数据库的一段诗来获取查询,并通过麦克风捕获它。本文提出了一种利用基本音频描述符识别音频序列(古兰经请求节)的新系统。每个语料库(所有古兰经经文)的音频文档都经过预处理,然后提取一组基本的音频描述符,这些描述符描述了时间和频谱信息。因此,音频信号由一系列特征表示,本文称之为“音频指纹”。搜索过程是基于一个叫做“干涉波”的新概念。该波由音频信号的内容产生,用于计算两个音频信号之间的相似率。
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引用次数: 2
A Framework for Unit of Interest Meta Data Analysis for Understanding the Message of Quran 理解《古兰经》信息的兴趣单元元数据分析框架
S. M. Alam, M. Ali, Atif Khan, Javed Khan, F. Khan
Meta data analysis of various unit of interest within the Quran can aid in developing a better understanding of its message. The scripture is widely available in several digital formats such as XML that allows taxonomical computational analysis in the digital space. The chapters and verses within the scripture are the unit of interest and can be applied with various Meta tags of interest. A digital repository of these tags along with the scripture text can aid in the Meta tag analysis of the Holy Scripture. This paper discusses the details of a framework for developing the understanding of the Quran in the digital space via Meta data analysis.
对《古兰经》中各种兴趣单位的元数据分析有助于更好地理解其信息。圣经以多种数字格式广为流传,例如允许在数字空间中进行分类计算分析的XML。经文中的章节和经文是兴趣的单位,可以应用于各种兴趣元标签。这些标签与经文文本的数字存储库可以帮助对圣经进行元标签分析。本文讨论了通过元数据分析在数字空间中发展对古兰经的理解的框架的细节。
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引用次数: 2
Localization Watermarking for Authentication of Text Images in Quran with Spiral Manner Numbering 基于螺旋编号的可兰经文本图像定位水印认证
S. Hisham, Afifah Nailah Muhammad, J. Zain, Gran Badshah
The phenomenon of widespread usage of smart phone has encouraged many android applications to be produced, by free or paid. Nowadays, with the trend of communicating through social networking applications and social networking sites, Muslims tend to share the image of verse from the Quran applications to the sites. Several concerns regarding security and copy control of the verse text image have aroused, and among the solution to this issue is watermarking. This paper has conducted a research proposing an authentication fragile watermark with spiral manner which shows a good numbering system of embedding. The watermarking scheme is imperceptible and can embed high capacity of data. The average Peak-signal-of-Noise-Ratio (PSNR) value of embedded image is 67.06dB and the average operating time is 1.29 seconds. Subsequently, it proposed a localization and restoration watermarking scheme to be applied in the Quran application as a function before sharing.
智能手机的广泛使用鼓励了许多android应用程序的开发,无论是免费的还是付费的。如今,随着社交网络应用和社交网站交流的趋势,穆斯林倾向于将古兰经应用中的经文图像分享到网站上。诗歌文本图像的安全性和复制控制引起了人们的关注,而水印技术就是解决这一问题的方法之一。本文研究了一种螺旋方式的认证脆弱水印,该水印具有良好的嵌入编号系统。该水印方案具有隐蔽性和嵌入大容量数据的特点。嵌入图像的平均峰值信噪比(PSNR)值为67.06dB,平均运行时间为1.29 s。随后,提出了一种定位恢复水印方案,作为共享前功能应用于古兰经应用。
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引用次数: 7
MOQEU: A Moodle-Based Quran E-University MOQEU:基于moodle的古兰经电子大学
Elshaimaa Nada, Ahmed Ahmed, Mahmoud Abd-Allah
E-learning via the Internet has boosted the use of software tools that lent structure and management for online courses. These tools, called Course Management Systems (CMSs), feature educators with easy communication to the students, the ability to track students' progress, and a means for secure online course content presentation. One free and open-source CMS that facilitates learning anytime anywhere is the Modular Object-Oriented Dynamic Learning Environment (MOODLE). MOODLE's users can write new features, fix bugs, and improve its performance. It is built on a sound educational philosophy, and has a huge community that supports and develops it. Moreover, it has the ability to create a multilanguage content as it can support more than 70 languages, hence students from different countries. MOODLE seems a perfect tool for online e-learning of holy Quran, which is a good source of religious knowledge, especially in non-Muslim countries. In this paper, we propose establishing a MOODLE-based Quran e-University (MOQEU) in Alma Dinah Almunawwarh, the capital of the first Islamic state. MOQEU aims at providing both Muslims and non-Muslims with Quranic courses including Tajweed, Tafseer, memorization, and proper recitation, which comes not only with proper pronunciation and etiquette, but also by understanding its real meaning.
通过互联网进行的电子学习促进了软件工具的使用,这些软件工具为在线课程提供了结构和管理。这些工具被称为课程管理系统(cms),其特点是教育工作者可以方便地与学生沟通,能够跟踪学生的进度,以及一种安全的在线课程内容展示方式。模块化面向对象动态学习环境(MOODLE)是一种免费的开源CMS,可以随时随地促进学习。MOODLE的用户可以编写新的功能,修复错误,并提高其性能。它建立在一个健全的教育理念上,并有一个庞大的社区支持和发展它。此外,它具有创建多语言内容的能力,因为它可以支持70多种语言,因此来自不同国家的学生。MOODLE似乎是在线学习《古兰经》的完美工具,《古兰经》是宗教知识的良好来源,尤其是在非穆斯林国家。本文建议在第一个伊斯兰国的首都阿尔玛迪纳阿尔穆纳瓦赫建立一所基于moodle的古兰经电子大学(MOQEU)。MOQEU旨在为穆斯林和非穆斯林提供古兰经课程,包括Tajweed, Tafseer,背诵和正确背诵,不仅要有正确的发音和礼仪,还要了解其真正的含义。
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引用次数: 2
Artificial Intelligence Techniques for Extracting Individuals Recitation of the Holy Quran from Its Combinations 人工智能技术在古兰经诵读组合中提取个人诵读
Mostafa Mahmoud, Iman Hassan
In this research artificial intelligence techniques were used to get individuals (ÅÝÑÇÏ) from combination (ÇáÌãÚ) for the fourteen recitations along with an explanation of the Aya's Osool (ÃÕæá), Frsh (ÝÑÔ) and recitations methods. Artificial intelligence techniques were also used to view information about the general rules of each Quranic recitation (narrators) through a database that contains a combination auditory recitations of each Aya (verse) and an explanation of its Osool and Frsh with supporting evidence from the Al-Chatebei, which was used by a former system developed by Noor called "Development and Implementation of Computer Software for the Teaching and Training of the Recitations of the Holy Quran using the Seven Recitation Methods of Al-Chatebei" project number (NRC1-170).
在本次研究中,利用人工智能技术,从组合(ÇáÌãÚ)中找出了14次背诵的个人(ÅÝÑÇÏ),并解释了阿雅的Osool (ÃÕæá)、Frsh (ÝÑÔ)和背诵方法。人工智能技术还被用于通过一个数据库查看每段古兰经背诵(叙述者)的一般规则信息,该数据库包含每段经文的听觉背诵和对其Osool和frish的解释,并有来自Al-Chatebei的支持证据。Noor以前开发的一个系统使用了该系统,该系统被称为“使用Al-Chatebei的七种背诵方法来教学和训练诵读《古兰经》的计算机软件的开发和实现”项目编号(NRC1-170)。
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引用次数: 3
期刊
2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences
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