The Experts below are selected from a list of 30 Experts worldwide ranked by ideXlab platform

Ahmad Akmaluddin Mazlan - One of the best experts on this subject based on the ideXlab platform.

  • query cost reduction for quranic arabic information retrieval using Hexadecimal conversion algorithm
    2017
    Co-Authors: Ahmad Akmaluddin Mazlan, Norita Md Norwawi, Fauziah Abdul Wahid, Roesnita Ismail, Ashraf Omoush
    Abstract:

    Digital Quran is a natural language document that use either Arabic font or images of the verses. In the Al-Quran there are 18994 unique words.Thus, the image approach uses a significant amount of memory space.However there is not much work has been done using machine translation (MT) technique for the Quranic Representation. This paper will proposed Arabic information retrieval based on keywords search in Hexadecimal Representation using Al-Quran verses as the test case. All Quranic words will transliterate into machine language in the form of binary format after removing diacritic and duplication.This machine language approach in representing Digital Quran reduces the size of storage around 47-54% and retrieval time up to 20% hence reduce the query cost for Arabic information retrieval in general.

  • storage optimization for digital quran using sparse matrix with Hexadecimal Representation
    2017
    Co-Authors: Ashraf Omoush, Fauziah Abdul Wahid, Norita Md Norwawi, Roesnita Ismail, Ahmad Akmaluddin Mazlan
    Abstract:

    Digital Quran is a common application today in smart devices such as hand phones and tablet. The verses are usually presented using images of verses on written in an Arabic font.This raise issues related to storage when representing the whole Quran text.This study proposed a Hexadecimal digital Representation technique for words in Arabic using UTF-8 for character encoding which is backward compatible with ASCII code.This paper will explain three approaches used in representing the digital Quran.They are the Hexadecimal Representation for each Quranic words, sparse matrix in representing verses of Al-Quran and double offset indexing for transforming the sparse matrix to efficiently use the space. This Representation proof more than 50% reduction in the memory space for storage thus will increase the searching speed.The storage of words being optimized through the use of one memory space for that particular word rather than one memory space for each Arabic character in the words .This technique helps optimized memory management for the whole digital Quran.Due to the smaller size, the digital Quran can be conveniently installed in the future as standard applications in mobile devices.

Ashraf Omoush - One of the best experts on this subject based on the ideXlab platform.

  • query cost reduction for quranic arabic information retrieval using Hexadecimal conversion algorithm
    2017
    Co-Authors: Ahmad Akmaluddin Mazlan, Norita Md Norwawi, Fauziah Abdul Wahid, Roesnita Ismail, Ashraf Omoush
    Abstract:

    Digital Quran is a natural language document that use either Arabic font or images of the verses. In the Al-Quran there are 18994 unique words.Thus, the image approach uses a significant amount of memory space.However there is not much work has been done using machine translation (MT) technique for the Quranic Representation. This paper will proposed Arabic information retrieval based on keywords search in Hexadecimal Representation using Al-Quran verses as the test case. All Quranic words will transliterate into machine language in the form of binary format after removing diacritic and duplication.This machine language approach in representing Digital Quran reduces the size of storage around 47-54% and retrieval time up to 20% hence reduce the query cost for Arabic information retrieval in general.

  • storage optimization for digital quran using sparse matrix with Hexadecimal Representation
    2017
    Co-Authors: Ashraf Omoush, Fauziah Abdul Wahid, Norita Md Norwawi, Roesnita Ismail, Ahmad Akmaluddin Mazlan
    Abstract:

    Digital Quran is a common application today in smart devices such as hand phones and tablet. The verses are usually presented using images of verses on written in an Arabic font.This raise issues related to storage when representing the whole Quran text.This study proposed a Hexadecimal digital Representation technique for words in Arabic using UTF-8 for character encoding which is backward compatible with ASCII code.This paper will explain three approaches used in representing the digital Quran.They are the Hexadecimal Representation for each Quranic words, sparse matrix in representing verses of Al-Quran and double offset indexing for transforming the sparse matrix to efficiently use the space. This Representation proof more than 50% reduction in the memory space for storage thus will increase the searching speed.The storage of words being optimized through the use of one memory space for that particular word rather than one memory space for each Arabic character in the words .This technique helps optimized memory management for the whole digital Quran.Due to the smaller size, the digital Quran can be conveniently installed in the future as standard applications in mobile devices.

Jingjang Hwang - One of the best experts on this subject based on the ideXlab platform.

  • refereed papers hiding digital information using a novel system scheme
    Computers & Security, 2001
    Co-Authors: Jingjang Hwang
    Abstract:

    This work builds on Lin and Lee's document protection scheme, termed as Confused Document Encrypting Scheme (CDES), to present a novel strategy that could hide digital information and provide secret communication between two communication parties. Lin and Lee invented a document protection scheme to transmit large quantities of secret information. However, their design strategy is only suitable for single-byte character-based text document. The proposed scheme presents a novel strategy that modifies the restrictions in Lin and Lee's work. Any kind of digital data, not only the plain text, can be employed as a carrier or as a secret in the proposed system. The proposed method utilizes the Hexadecimal Representation of digital data in a manner that ensures it will have many practical applications. In addition, the procedure is easy to implement and capable of transmitting large quantities of secret information.

Andrew Woodward - One of the best experts on this subject based on the ideXlab platform.

  • EXPOSING POTENTIAL PRIVACY ISSUES WITH IPV6 ADDRESS CONSTRUCTION
    2012
    Co-Authors: Clinton Carpene, Andrew Woodward
    Abstract:

    The usage of 128 bit addresses with Hexadecimal Representation in IPv6 poses significant potential privacy issues. This paper discusses the means of allocating IPv6 addresses, along with the implications each method may have upon privacy in different usage scenarios. The division of address space amongst the global registries in a hierarchal fashion can provide geographical information about the location of an address, and its originating device. Many IPv6 address configuration methods are available, including DHCPv6, SLAAC (with or without privacy extensions), and Manual assignment. These assignment techniques are dissected to expose the identifying characteristics of each technique. It is seen that use of the modified EUI-64 in SLAAC can allow agents to simply decipher an interface’s MAC address over layer 3 communications, whilst discernable patterns can be used to identify the presence of DHCPv6 or manual address assignment. Additionally, the frequency and lifetime of unique addresses originating from a single network prefix may allude to privacy addresses in use within the network. Together these issues pose a risk to the privacy of IPv6 users, as it may allow for tracking of users of portable network devices

Krengel Martin - One of the best experts on this subject based on the ideXlab platform.

  • Addressing and transition - from IPv4 to IPv6 in government networks
    Fraunhofer FOKUS Berlin, 2014
    Co-Authors: Schmoll Carsten, Holzmann-kaiser Uwe, Gómez Muñoz Carlos, Krengel Martin
    Abstract:

    Addresses are one of the most useful inventions of the past. They are used to locate somebody or something spatially or geographically, to identify a fixed or mobile device or to send messages to electronic mailboxes. Most of these addresses have a textual Representation being easy to remember or they may consist of numbers easy to forget -therefore the phonebook was invented. In case of electronic communication, no user needs to care much about the decimal or Hexadecimal Representation of addresses being used by technical systems to connect to each other or to send messages around. We are used to writing names such as www.ec.europa.eu to address a server instead. Yet, basically all communication between all stakeholders takes place based on IP addresses. This booklet will give a short introduction to IP addressing and the structure of IPv6 addresses, on how you can get IPv6 address space and the options you have to structure and tailor the address space to your needs. The German address plan will be used as an example