Mr. OKEH OKERIERHIE DONO
Publication Title The Effect of Information and Communication Technologies (ICTs) on Academic Libraries in Nigerian Universities
Publication Type journal
Publisher Accra Bespoke Multidisciplinary Innovations Conference (ABMIC)
Paper Link 10.22624/AIMS/ABMIC2021-V2-P24
Publication Authors Ogala Justin Onyarin & Okeh Okerierhie Dono
Year Published 2021-12-12
Abstract A descriptive study was conducted to look into the effects of Information and Communication
Technologies (ICTs) on academic libraries in Nigeria universities.. Four research questions
guided the study. A review of the related literature was also carried out. The study took place in
nine selected Nigerian universities. Survey participants were librarians and library officers from
nine state-run university libraries. To collect data, the researchers had used san online survey
template and a questionnaire. The information gathered was interpreted with descriptive and
inferential statistics. The results indicate that university libraries have differing degrees of ICT
infrastructure capacity. The automation of library materials has begun, and database
technology has vastly increased information storage and retrieval. Insufficient library
funding/financial assistance, as well as inadequate technological infrastructures, was also
found. In order to provide efficient resources, any division in such an academic library should
indeed be computerized. Governments should prioritize library funding and financial
assistance in their budgets. Under their small budgets, management could perhaps emphasize
ICT spending..
Publication Title State of the Art on Face Recognition – A Review.
Publication Type journal
Publisher Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 2458-9403
Publication Authors Emuobonuvie E. Andy, Malasowe O. Bridget, Okeh O. Dono and Adeyemi B. Benjamin (2020)
Year Published 2020-09-09
Abstract Abstract - The high demand for face
recognition applications has attracted the
interest of researchers in this area. As a result
of this, several methodologies have been
proposed by scholars in this field. Face
recognition methodology aims to detect faces
in still image and sequence images. Local,
global, and hybrid are approaches used in this
area. The major issue of face recognition
includes intensity, illumination, difficult to
control as well as pose. Face images are highly
dynamic and they pose difficult issues and
challenges to solve when in use, researchers in
pattern recognition, computer vision, and
artificial intelligence have proposed many
models in other to reduce such difficulties to
improve the efficiency, robustness, and
accuracy. The objective of this paper is to
provide a survey of the current state of
research on face recognition methodologies
that has been proposed by different
researchers. The underlining principles and
application areas of face recognition are also
presented. Finally, a conclusion on the current
state of the art in face recognition was given.
Publication Title A REVIEW STUDY OF THE HISTORICAL DEVELOPMENT, GENERATIONS AND COMPUTER APPLICATIONS
Publication Type journal
Publisher https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwj1_Zzr_Pr9AhWihf0HHfF8CEMQFnoECA4QAQ&url=https://www.globalacademicgroup.com/journals/qualitative education/Okeh.pdf&usg=AOvVaw3B8XhQcgOWU7dRm0hoVZ5v
Publication Authors Okeh, Okerierhie Dono and Opone, Marshall Chime
Year Published 2007-03-20
Abstract Abstract
Computers, the wonder machines of our time,
did not just emerge to take up the position and
status it occupies today. Rather, it evolved
gradually, and earlier without much
recognition and regard, until it eventually
attained it's present enviable state. This is an
overview study on the state of computer
science with special attention on the historical
development of computers, computer science,
computer generations and computer
applications. It equally established the
developments in information technology,
library services as associated with the
emergence of computers.
Publication Title Information and Communication Technology (ICT). An Effective Tool for Economic Development.
Publication Type journal
Publisher
Publication Authors Emuobonuvie E. A. Okeh O. D. and Ogala J.
Year Published 2017-04-08
Abstract
Publication Title Science Education for Self Reliance, Manpower Development and Youth Empowerment Towards National Development.
Publication Type journal
Publisher A Publication of COEASU South – South. ISSN: 2360 – 7440.
Publication Authors Ekokotu A. and Okeh O. D
Year Published 2016-01-04
Abstract
Publication Title Intranet Technology: An Effective Tool for A Controlled and Web Based Educational Environment that Facilitates Learning.
Publication Type journal
Publisher
Publication Authors Okeh O. D. , Adeyemi B, B, and Malasowe B. O.
Year Published 2015-05-03
Abstract
Publication Title Wireless Fidelity Security: Intrusion, Dectection and Prevention. A Software Module to Enforce Security Policies.
Publication Type journal
Publisher
Publication Authors Adeyemi B. B., Okeh O. D. and Emuobonuvie E. A.
Year Published 2015-09-03
Abstract
Publication Title Internet and Education: Integration Issues and challenges
Publication Type journal
Publisher Okene Journal of Education (OJED) Vol. 5 No.1,
Publication Authors Emuobonuvie, E.A. Okeh O. D. and Ekokotu A
Year Published 2012-07-05
Abstract
Publication Title Integrating Technology into the Nigerian Educational System in the 21st Century.
Publication Type journal
Publisher Okene Journal of Education (OJED) Vol. 5 No.1
Publication Authors Okeh O. D. Emuobonuvie, E.A. and Ekokotu A
Year Published 2012-07-05
Abstract
Publication Title Promoting and Enhancing Banking operations in Nigeria Through ICT
Publication Type journal
Publisher Agbor Journal of Science Education (AJOSE) Vol. 4 No. 1
Publication Authors Okeh, D. O. , Opone, M. C. and Emuobonuvie E.A
Year Published 2012-04-08
Abstract
Publication Title The State of Speech Recognition Technology in Natural Language Processing.
Publication Type journal
Publisher Mosogar Journal of Science Education, Second Edition, Vol. 2 No. 1, ISSN 2141-2006, Pp 87-89 , Mosogar
Publication Authors Okeh, D. O. and Opone, M. C. (2010)
Year Published 2006-04-07
Abstract
Publication Title A Review of Network Attacks and Security Solutions in a Networked Environment
Publication Type journal
Publisher Asian Journal of Engineering and Applied Technology ISSN: 2249-068X (P) Vol.12 No.2, 2023, pp.xx © The Research Publication, www.trp.org.in DOI: https://doi.org/
Paper Link DOI: https://doi.org/
Publication Authors O. D. Okeh1, O. F. Ajayi2, E. A. Emuobonuvie3 and D. A. Ekokotu4
Year Published 2023-02-02
Abstract The advancement in technology has led to the
interconnectivity of devices referred to as networking. Not
only that computers are networked, but the technology also
now incorporates all devices giving rise to Internet of
Things (IoT). The wide range of connectivity calls for
security and protection of data and information as
malicious users of the internet have taken advantage of the
system. In this paper, we reviewed most of the common
threading types of network attack. The paper has x-rayed
the different challenges accompanying a network and how
they could be detected and handled accordingly. Moreso,
the different types of attacks have been looked into with a
view to understanding the emerging attacks and how they
could be curbed as well. Different security solutions such
as cryptography, firewall and blockchain technology were
discussed. Obviously, while implementing these security
strategies, we are aware that our data and information
cannot be fully secured but measures can be put in place to
minimize the extent of attack and damages.Keywords: Network Security, Internet of Things (IoT),
Cryptography, Firewall and Blockchain
Publication Title Eruptions and Disruptions of Machine Learning In the Health Sector
Publication Type journal
Publisher The Journal of Computer Science and Its Applications. An International Journal of the Nigeria Computer Society (NCS) Vol. 30, No. 1, June, 2023
Publication Authors S. O. Oladipo, O. Awodele, M. B. Aliyu, O. Fatade, O. D. Okeh, I. Nwosu
Year Published 2023-06-01
Abstract Machine learning (ML) has affected the way healthcare is being approached and offers tremendous
opportunities for enhanced diagnosis, improved personalized treatment, predictive analytics and drug research
and development among several increasing possibilities. For instance, the treatment and management of
technostress is gaining the interest of machine learning. However, like any disruptive technology, ML also
brings significant challenges and disruptions to the healthcare sector. These disruptions space include security
and privacy dilemma, ethical issues, legal concerns, and transparency concerns. In this study, we examined the
eruptions and disruptions of ML in the healthcare sector, the prospects and the challenges. Ultimately, this study
recommends striking a balance between innovation (disruptive technology eruptions) and cautious mitigation of
the disruptions that attend such innovations. This is critical to realizing the full power of ML in healthcare.
Publication Title Theoretical Review of Ethereum Blockchain Based Internet of Medical Things (IoMT) System in the 21st Century
Publication Type journal
Publisher Journal of Computing, Science &Technology.Vol.1 Issue 2, 5-20, 2024
Paper Link https://focjournal.unidel.edu.ng/
Publication Authors Okeh O. D.1 & Emuobonuvie, E. A. 2 Anazia E.K3 & Agbaje, M. O. 4
Year Published 2024-05-20
Abstract The interconnectivity of digital devices has made tremendous impact in the lives of individuals, corporate
organizations and institutions alike in recent times. The impact experienced by this great technology has
attracted the attention of hoodlums posing as hackers obstructing the activities of the Internet. The health
sector which parades vital data of patient cannot afford to be exposed freely to these unlawful users of the
Internet. Patients’ health records should be protected hence this paper has proposed a secured medical
system to take care of patient’s data which have gained entrance into cloud computing and are stored on
the cloud alongside the ones in transit. The paper looked at the taxonomy of the Internet of Things layer-
wise and the taxonomy of security protocols used by the layers respectively. Finally, a blockchain
methodology using Ethereum technology was proposed.
Publication Title Eruptions and Disruptions of Machine Learning In the Health Sector
Publication Type journal
Publisher The Journal of Computer Science and Its Applications. An International Journal of the Nigeria Computer Society (NCS) Vol. 30, No. 1, June, 2023
Publication Authors S. O. Oladipo, O. Awodele, M. B. Aliyu, O. Fatade, O. D. Okeh, I. Nwosu
Year Published 2023-06-06
Abstract Machine learning (ML) has affected the way healthcare is being approached and offers tremendous
opportunities for enhanced diagnosis, improved personalized treatment, predictive analytics and drug research
and development among several increasing possibilities. For instance, the treatment and management of
technostress is gaining the interest of machine learning. However, like any disruptive technology, ML also
brings significant challenges and disruptions to the healthcare sector. These disruptions space include security
and privacy dilemma, ethical issues, legal concerns, and transparency concerns. In this study, we examined the
eruptions and disruptions of ML in the healthcare sector, the prospects and the challenges. Ultimately, this study
recommends striking a balance between innovation (disruptive technology eruptions) and cautious mitigation of
the disruptions that attend such innovations. This is critical to realizing the full power of ML in healthcare.