ahmed altriki | University of Benghazi (original) (raw)
Information technology researcher
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CSIC (Consejo Superior de Investigaciones Científicas-Spanish National Research Council)
Graduate Center of the City University of New York
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Papers by ahmed altriki
2022 International Conference on Engineering & MIS (ICEMIS), 2022
Abstract-The development in communications and information technology led to the emergence of ele... more Abstract-The development in communications and information technology led to the emergence of electronic payment services (e-payment). However, the use and acceptance rate of such services in Libya is still limited. This paper explores the factors affecting the usability of e-payment services for some Libyan banks through a proposed framework using the Technology Acceptance Model (TAM)and Technology Readiness Index (TRI) models. The framework includes ISO Usability Standards as an alternative to external variables in TAM. Data were collected from 287 customers from Al Wahda Bank and Bank of Commerce and Development through a questionnaire that was distributed manually and through Google Forms, in addition to interviews with 20 employees of both banks. The SPSS software was used to analyze the collected data to answer research questions and test hypotheses. Six experts in the field have validated the proposed framework from two scientific departments in the Faculty of Information Technology, University of Benghazi, Libya, namely, the Department of Information Systems and the Department of Software Engineering. The results showed that all the factors that were used to build the research framework affect the acceptance and use of e-payment services. As a result, some recommendations have been suggested regarding increasing the rate of acceptance and use of electronic payment systems.
Keywords --- E-payment, Technology Acceptance Model, TAM, Technology Readiness Index, TRI, Usability.
University of Benghazi, 2020
Abstract: Newly considered both Big data Apache Hadoop and Apache Spark It is an important tech... more Abstract:
Newly considered both Big data Apache Hadoop and
Apache Spark It is an important techniques in managing
huge databases and thus this article provides an overview
of Hadoop MapReduce. Apache Spark is used in big data
increase the number of users of social networking sites of
various types or industries. Big Data can be classified in
the form of structured, unstructured and semi-structured
form. Traditional data processing techniques are unable to
store and process this huge amount of data, and due to this,
they face many challenges in processing Big Data and
demands of the end user. This paper also shows a
comparison of certain criteria to determine which is better
accordingly.
Keywords: Big Data; Hadoop; Map Reduce; Spark.
Frontiers in Bioengineering and Biotechnology
This study investigates CO2 biofixation and pyrolytic kinetics of microalga G. pectorale using mo... more This study investigates CO2 biofixation and pyrolytic kinetics of microalga G. pectorale using model-fitting and model-free methods. Microalga was grown in two different media. The highest rate of CO2 fixation (0.130 g/L/day) was observed at a CO2 concentration of 2%. The pyrokinetics of the biomass was performed by a thermogravimetric analyzer (TGA). Thermogravimetric (TG) and derivative thermogravimetric (DTG) curves at 5, 10 and 20°C/min indicated the presence of multiple peaks in the active pyrolysis zones. The activation energy was calculated by different model-free methods such as Friedman, Flynn-Wall-Ozawa (FWO), Kissinger-Akahira-Sunose (KAS), and Popescu. The obtained activation energy which are 61.7–287 kJ/mol using Friedman, 40.6–262 kJ/mol using FWO, 35–262 kJ/mol using KAS, and 66.4–255 kJ/mol using Popescu showed good agreement with the experimental values with higher than 0.96 determination coefficient (R2). Moreover, it was found that the most probable reaction mecha...
The 7th International Conference on Engineering & MIS 2021
2022 International Conference on Engineering & MIS (ICEMIS), 2022
Abstract-The development in communications and information technology led to the emergence of ele... more Abstract-The development in communications and information technology led to the emergence of electronic payment services (e-payment). However, the use and acceptance rate of such services in Libya is still limited. This paper explores the factors affecting the usability of e-payment services for some Libyan banks through a proposed framework using the Technology Acceptance Model (TAM)and Technology Readiness Index (TRI) models. The framework includes ISO Usability Standards as an alternative to external variables in TAM. Data were collected from 287 customers from Al Wahda Bank and Bank of Commerce and Development through a questionnaire that was distributed manually and through Google Forms, in addition to interviews with 20 employees of both banks. The SPSS software was used to analyze the collected data to answer research questions and test hypotheses. Six experts in the field have validated the proposed framework from two scientific departments in the Faculty of Information Technology, University of Benghazi, Libya, namely, the Department of Information Systems and the Department of Software Engineering. The results showed that all the factors that were used to build the research framework affect the acceptance and use of e-payment services. As a result, some recommendations have been suggested regarding increasing the rate of acceptance and use of electronic payment systems.
Keywords --- E-payment, Technology Acceptance Model, TAM, Technology Readiness Index, TRI, Usability.
University of Benghazi, 2020
Abstract: Newly considered both Big data Apache Hadoop and Apache Spark It is an important tech... more Abstract:
Newly considered both Big data Apache Hadoop and
Apache Spark It is an important techniques in managing
huge databases and thus this article provides an overview
of Hadoop MapReduce. Apache Spark is used in big data
increase the number of users of social networking sites of
various types or industries. Big Data can be classified in
the form of structured, unstructured and semi-structured
form. Traditional data processing techniques are unable to
store and process this huge amount of data, and due to this,
they face many challenges in processing Big Data and
demands of the end user. This paper also shows a
comparison of certain criteria to determine which is better
accordingly.
Keywords: Big Data; Hadoop; Map Reduce; Spark.
Frontiers in Bioengineering and Biotechnology
This study investigates CO2 biofixation and pyrolytic kinetics of microalga G. pectorale using mo... more This study investigates CO2 biofixation and pyrolytic kinetics of microalga G. pectorale using model-fitting and model-free methods. Microalga was grown in two different media. The highest rate of CO2 fixation (0.130 g/L/day) was observed at a CO2 concentration of 2%. The pyrokinetics of the biomass was performed by a thermogravimetric analyzer (TGA). Thermogravimetric (TG) and derivative thermogravimetric (DTG) curves at 5, 10 and 20°C/min indicated the presence of multiple peaks in the active pyrolysis zones. The activation energy was calculated by different model-free methods such as Friedman, Flynn-Wall-Ozawa (FWO), Kissinger-Akahira-Sunose (KAS), and Popescu. The obtained activation energy which are 61.7–287 kJ/mol using Friedman, 40.6–262 kJ/mol using FWO, 35–262 kJ/mol using KAS, and 66.4–255 kJ/mol using Popescu showed good agreement with the experimental values with higher than 0.96 determination coefficient (R2). Moreover, it was found that the most probable reaction mecha...
The 7th International Conference on Engineering & MIS 2021