Telecommunication Engineering

Permanent URI for this collectionhttp://repository.futminna.edu.ng:4000/handle/123456789/750

Telecommunication Engineering

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    Dipole antenna design leveraging optimization techniques
    (ABU-Zaria, 2023) Akamike, Ogechi; Caroline Alenoghena; Oyewobi S. Stephen
    Dipole antenna are commonest type of antenna in terms of design. This paper presents a technical review on the subject matter of dipole antenna design leveraging optimization techniques to design a better dipole antenna
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    Development of a cost-friendly home-range TV transmitter to provide safe TV content to underage unsupervised Kids
    (Engineering Conference, School of Engineering and Engineering Technology, 2011) Michael Okwori; Oyewobi S. Stephen; M Saidu; U Abdulahi
    The security of a nation is directly linked to the moral conduct of her citizens, and this is affected by the kind of upbringing such citizens received as kids. Direct access of kids to video players and satellite TV receivers can lead to unwholesome programs being watched by the Kids especially when they are unsupervised, which can lead to character degradation and deformation. As a solution to this problem, this work is aimed at restricting unsupervised access of underage persons to programs on these electronics devices. Therefore, a low cost home range TV transmitter with pre-select channel-transmit capability, and auto timed turn-on and turn-off was designed. The designed Transmitter powers a Video player or Satellite TV Decoder at a preset time and transmits pre-selected programs on a Video player or Satellite TV Decoder in a restricted region in the house to a Television Set in an unrestricted region in the House that kids have access to for a preset duration. The Transmitter was tested, and it powered the Decoder and transmitted pre-selected programme at the preset time and for the preset duration.
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    Performance Study of Empirical Path Loss Models at 11 GHz in an Irregular Environment for Wireless Communications
    (International Engineering Conference (IEC 2022), 2022) Farouq E. Shaibu; Elizabeth N. Onwuka; Nathaniel Salawu; Oyewobi S. Stephen
    In this paper, we report the performance study of two of the most widely used empirical models, 3GPP and CI models at 11 GHz in an irregular environment for future communication networks. Large-scale fading simulation has been carried out under the line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios. An RF planning software package, Path Loss 5 (PL5) was used to carry out the simulation to reveal the expected receiver power, path loss, and terrain profile for the environment under consideration. From the simulated report, the simulated values were fitted with the path loss models. With the path loss exponent of 3.1, the results of the models' comparisons revealed that the CI model overestimated the path loss throughout its path in both LoS and NLoS scenarios with an MAE of 16.32 dB and 19.21 dB. The 3GPP model shows its best performance in LoS scenario but within a short distance (< ??? ?) in NLoS scenario with an MAE of 9.14 dB and 11.09 dB respectively. The simulations suggest that the 3GPP model is better for path loss prediction in an environment under consideration at mm-Wave frequency.
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    Development of smart electricity distribution algorithm for multi-source and segmented loads in buildings
    (Proceedings of the 5th European International Conference on Industrial Engineering and Operations Management Rome, Italy,, 2022-07-28) Abdul-Azeez Dauda; Oyewobi S. Stephen; Supreme A. Okoh; Umar S. Dauda
    Nigeria has encountered numerous power issues in recent years, including limited and irregular power supply, high power costs, and underdeveloped power facilities, all of which have had major negative consequences on the country's socio-economic development. To improve power availability in buildings and ensure adequate usage efficiency, this paper presents the development of a smart electric power distribution algorithm for multi-source and segmented loads, for implementation on distribution boards. This research aims to develop an algorithm that may be used to support the current building wire infrastructure in Nigeria, allowing for 24/7 reliable power supply and effective management of limited power supply in buildings. It employs a multi-source and segmented load system to provide reliability and energy efficiency measures to balance power supply and demand in buildings. Actual data from offices in the engineering complex of Niger State Polytechnic Zungeru, Nigeria, was used to simulate the developed system in MATLAB Simulink. Results showed that the developed algorithm conserved power by 33.71% compared to the conventional distribution board.
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    To-Go;A secure ride-hailing App with advanced route optimization and VoIP for enhanced user experience for Nigeria transport system
    (Proceedings 2nd International Conference on Intelligent and Sustainable Power and Energy Systems (ICISPES 2024), 2024-12-14) Oyewobi S. Stephen; Abdulkadir Olayinka Abdulbaki; Lawal O. Lawal; Bala Abdulfattah Emi
    To-Go is an innovative ride-hailing platform that provides users with a secure, efficient, and seamless transportation experience. Leveraging advanced route optimization algorithms and integrated Voice over Internet Protocol (VoIP) technology, To-Go minimizes travel time and enhances user engagement. The app's robust security features ensure rider safety and driver accountability, utilizing real-time GPS tracking, in-app emergency response, and rigorous driver vetting processes. To-Go's intuitive interface and VoIP-enabled communication enable effortless ride scheduling, live support, and seamless driver-rider interactions. As an app intended to boost user satisfaction in Nigeria To-Go delivers precise routes and secure VoIP interactions. It resolves the safety and communication obstacles typical in this field. Through the application of sophisticated algorithms and VoIP tools. To-Go delivers a dependable platform for secure and efficient rides fostering smart transportation innovations in Nigeria.
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    Oil and Gas Monitoring Through Wireless Sensor Networks: A Survey
    (Ozean Journal of Applied Sciences, 2013) Achonu O. Adejo; Adeiza J. Onumanyi; Jane M. Anyanya; Oyewobi S. Stephen
    Effective measurement and monitoring of certain parameters (temperature, pressure, flow etc) is crucial for the safety and optimization of processes in the Oil and Gas Industry. Wired sensors have been extensively utilized for this purpose but are costly and difficult to deploy and maintain. Wireless S ensor Network (WS N) technology is an emerging alternative that introduces significant benefits in cost, ease of deployment, flexibility and convenience. The impact of WS N is expected to be tremendous in industrial automation owing to a report that projected the deployment of 24 million wireless-enabled sensors and actuators worldwide by 2016. With limited literature on this specific subject matter, this paper presents a critical survey into WS N applications as it directly impacts the Oil and Gas Industry. An overview of WS N is presented, case study applications from literature are highlighted and finally research challenges are discussed
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    Mobile Terminal’s Energy: A Survey of Battery Technologies and Power Control Techniques
    (2013) Oyewobi S. Stephen; E. N. Onwuka; Onumanyi A. J
    In the last few years of the past decade, advancements in electronics technology have increasingly made electronic devices offer high performance with corresponding decrease in size of the electronic devices. However with this increase in performance and decrease in size of electronics devices there is an increase in demand for mobile devices’ battery to keep the device up for longer period in operation and standby times. Research has however shown that advancements in battery technology have not being in tandem with advancements in other fields of electronics. Therefore wherever battery technology fails, it is complemented by electronics and communication technologies. In this work; a survey of mobile terminal energy management techniques and battery technologies was carried out and Dynamic power control algorithm (DPCA) was proposed. Results from simulation showed that DPCA increased battery performance when compared with another power control technique in literature.
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    An Effective Spectrum Handoff Based on Reinforcement Learning for Target Channel Selection in the Industrial Internet of Things
    (MDPI Sensors, 2019-03-21) Oyewobi S. Stephen; Gerhard Hancke; Adnan M. Abu-Mahfouz; Adeiza J. Onumanyi
    The overcrowding of the wireless space has triggered a strict competition for scare network resources. Therefore, there is a need for a dynamic spectrum access (DSA) technique that will ensure fair allocation of the available network resources for diverse network elements competing for the network resources. Spectrum handoff (SH) is a DSA technique through which cognitive radio (CR) promises to provide effective channel utilization, fair resource allocation, as well as reliable and uninterrupted real-time connection. However, SH may consume extra network resources, increase latency, and degrade network performance if the spectrum sensing technique used is ineffective and the channel selection strategy (CSS) is poorly implemented. Therefore, it is necessary to develop an SH policy that holistically considers the implementation of effective CSS, and spectrum sensing technique, as well as minimizes communication delays. In this work, two reinforcement learning (RL) algorithms are integrated into the CSS to perform channel selection. The first algorithm is used to evaluate the channel future occupancy, whereas the second algorithm is used to determine the channel quality in order to sort and rank the channels in candidate channel list (CCL). A method of masking linearly dependent and useless state elements is implemented to improve the convergence of the learning. Our approach showed a significant reduction in terms of latency and a remarkable improvement in throughput performance in comparison to conventional approaches
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    Enabling a Battery-Less Sensor Node Using Dedicated Radio Frequency Energy Harvesting for Complete Off-Grid Applications
    (MDPI, 2020-10-16) Timothy Miller; Oyewobi S. Stephen; Adnan M. Abu-Mahfouz; Gerhard Hancke
    The large-scale deployment of sensor nodes in difficult-to-reach locations makes powering of sensor nodes via batteries impractical. Besides, battery-powered WSNs require the periodic replacement of batteries. Wireless, battery-less sensor nodes represent a less maintenance-intensive, more environmentally friendly and compact alternative to battery powered sensor nodes. Moreover, such nodes are powered through wireless energy harvesting. In this research, we propose a novel battery-less wireless sensor node which is powered by a dedicated 4 W EIRP 920 MHz radio frequency (RF) energy device. The system is designed to provide complete off-grid Internet of Things (IoT) applications. To this end we have designed a power base station which derives its power from solar PV panels to radiate the RF energy used to power the sensor node. We use a PIC32MX220F32 microcontroller to implement a CC-CV battery charging algorithm to control the step-down DC-DC converter which charges lithium-ion batteries that power the RF transmitter and amplifier, respectively. A 12 element Yagi antenna was designed and optimized using the FEKO electromagnetic software. We design a step-up converter to step the voltage output from a single stage fully cross-coupled RF-DC converter circuit up to 3.3 V. Finally, we use the power requirements of the sensor node to size the storage capacity of the capacitor of the energy harvesting circuit. The results obtained from the experiments performed showed that enough RF energy was harvested over a distance of 15 m to allow the sensor node complete one sense-transmit operation for a duration of 156 min. The Yagi antenna achieved a gain of 12.62 dBi and a return loss of −14.11 dB at 920 MHz, while the battery was correctly charged according to the CC-CV algorithm through the control of the DC-DC converter.
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    Exploring the perception of Nigerians towards nuclear power generation
    (Routledge, Taylor & Francis Group, 2021-07-07) Daniel R.E. Ewim; Oyewobi S. Stephen; Micheal O. Dioha; Chibuike E. Daraojimba; Suzzie O. Oyakhire; Zhongile Huan
    To decarbonize the Nigerian power sector and ensure a reliable electricity supply, nuclear power will play a key role. However, public acceptance must be considered for the successful introduction of nuclear power. This study examines the perceptions of Nigerians towards nuclear power generation and its opportunity as a viable source of power in Nigeria. The study adopts a quantitative method through surveys, using simple random sampling by administering questionnaires of structured close-ended questions to 10,001 respondents via social networking services and handdelivered questionnaires. However, the response rate was only 71%. The data were analyzed using Pearson’s Product Moment Correlation to measure the relationship between the various perceptions of nuclear power as a viable solution to the electricity problems in Nigeria using the statistical analysis software, Statistical Product and Service Solutions Statistics (IBM SPSS). The Cronbach’s alpha value of 0.821 of the items (questions) illustrates the acceptable internal consistency of the study and shows that it has reliability and validity on a five-point Likert scale. The study shows that over 56% of the respondents support the use of nuclear power generation as a viable option for electricity supply in Nigeria. Furthermore, it is recommended as a boost to the Nigerian economy, safety, security, and environmental sustainability, therefore, indicating positive perceptions towards building a nuclear power plant in Nigeria.