The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform

Ashley T. Haase - One of the best experts on this subject based on the ideXlab platform.

  • The rev gene of visna virus is required for productive infection.
    Virology, 1994
    Co-Authors: Kathy L. Toohey, Ashley T. Haase
    Abstract:

    To assess the role of the animal lentivirus rev regulatory gene product in the life cycle of visna virus, we introduced mutations into the functional fourth exon of the rev gene of visna virus. Cultured cells transfected with a full-length clone of visna DNA produce infectious virus but visna DNA with mutations in rev does not. The Documented Requirement for a functional rev gene in productive infections establishes the essential role of this gene in the replication of an animal lentivirus.

Kathy L. Toohey - One of the best experts on this subject based on the ideXlab platform.

  • The rev gene of visna virus is required for productive infection.
    Virology, 1994
    Co-Authors: Kathy L. Toohey, Ashley T. Haase
    Abstract:

    To assess the role of the animal lentivirus rev regulatory gene product in the life cycle of visna virus, we introduced mutations into the functional fourth exon of the rev gene of visna virus. Cultured cells transfected with a full-length clone of visna DNA produce infectious virus but visna DNA with mutations in rev does not. The Documented Requirement for a functional rev gene in productive infections establishes the essential role of this gene in the replication of an animal lentivirus.

Arpit Sharma - One of the best experts on this subject based on the ideXlab platform.

  • On the Use of Word Embeddings for Identifying Domain Specific Ambiguities in Requirements
    2019 IEEE 27th International Requirements Engineering Conference Workshops (REW), 2019
    Co-Authors: Siba Mishra, Arpit Sharma
    Abstract:

    Software Requirements are usually written in common natural language. An important quality criterion for each Documented Requirement is unambiguity. This simply means that all readers of the Requirement must arrive at the same understanding of the Requirement. Due to differences in the domain expertise of Requirements engineer and other stakeholders of the project, it is possible that Requirements contain several words that allow alternative interpretations. Our objective is to identify and detect domain specific ambiguous words in natural language text. This paper applies an NLP technique based on word embeddings to detect such ambiguous words. More specifically, we measure the ambiguity potential of most frequently used computer science (CS) words when they are used in other application areas or subdomains of engineering, e.g., aerospace, civil, petroleum, biomedical and environmental etc. Our extensive and detailed experiments with several different subdomains show that word embedding based techniques are very effective in identifying domain specific ambiguities. Our findings also demonstrate that this technique can be applied to documents of varying sizes. Finally, we provide pointers for future research.

Siba Mishra - One of the best experts on this subject based on the ideXlab platform.

  • On the Use of Word Embeddings for Identifying Domain Specific Ambiguities in Requirements
    2019 IEEE 27th International Requirements Engineering Conference Workshops (REW), 2019
    Co-Authors: Siba Mishra, Arpit Sharma
    Abstract:

    Software Requirements are usually written in common natural language. An important quality criterion for each Documented Requirement is unambiguity. This simply means that all readers of the Requirement must arrive at the same understanding of the Requirement. Due to differences in the domain expertise of Requirements engineer and other stakeholders of the project, it is possible that Requirements contain several words that allow alternative interpretations. Our objective is to identify and detect domain specific ambiguous words in natural language text. This paper applies an NLP technique based on word embeddings to detect such ambiguous words. More specifically, we measure the ambiguity potential of most frequently used computer science (CS) words when they are used in other application areas or subdomains of engineering, e.g., aerospace, civil, petroleum, biomedical and environmental etc. Our extensive and detailed experiments with several different subdomains show that word embedding based techniques are very effective in identifying domain specific ambiguities. Our findings also demonstrate that this technique can be applied to documents of varying sizes. Finally, we provide pointers for future research.

David Oyediran - One of the best experts on this subject based on the ideXlab platform.

  • Spectrum Sharing: Overview and Challenges of Small Cells Innovation in the Proposed 3.5 GHz Band
    2015
    Co-Authors: David Oyediran
    Abstract:

    Spectrum sharing between Federal and commercial users is a technique proposed by the FCC and NTIA to open up the 3.5 GHz band for wireless broadband use and small cell technology is one of the candidates for its’ realization. The traffic on small cells is temporal and their chances of interfering with other services in shared spectrum are limited. DoD has a Documented Requirement of 865 MHz by 2025 to support telemetry but only 445 MHz is presently available. DoD is conducting researches to realize test and evaluation spectrum efficient technology with the aim to develop, demonstrate, and evaluate technology components required to enable flight and ground test telemetry operations. This paper will provide an overview on spectrum sharing using small cell technology for LTE-Advanced and dynamic spectrum access would be briefly described. Research challenges for protocols and algorithms would be addressed for future studies.