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Item Spectrum Occupancy Measurement in the VHF Band- Results and Evaluation in the Context of Cognitive Radio(International Engineering Conference (IEC) 2019, 2019) Ajiboye, Johnson Adegbenga; Adegboye B.A; Aibinu A.M; Kolo J.GIn this paper the results of spectrum occupancy survey in the context of Cognitive Radio was presented. In Cognitive Radio, secondary unlicensed users are allowed to opportunistically use the primary licensed users’ bands with the understanding that there will be no interference i.e Secondary Users (SU) quits at the arrival of Primary Users (PU). A 24-hour measurement survey was carried out at the centre of Minna metropolis in Niger State, Nigeria covering a frequency range of VHF (30-300MHz). Aaronia HF 6065 V4 spectrum analyzer was used for data collection. Results show that the band allocated for Aeronautical Navigation has the highest spectral occupancy of 39.83% followed by the FM band with occupancy of 12.90% while the frequency band meant for Aeronautical Mobile and Space Operation has occupancy of 4.73% and TV Broadcasting 0.09%. The average occupancy of the VHF band is 14.39%.Item DEVELOPMENT OF AGILE PRODUCTIVITY METRICS OF INDIVIDUAL EXPERT JAVASCRIPT DEVELOPERS FOR SOFTWARE PROJECT MANAGERS(Humminbird Publications and Research International, 2024-01-29) Abdulgafar A.; Makinde J.K; Ajiboye, Johnson Adegbenga; Ajiboye M.ASoftware Project Managers require metrics to measure productivity in team work. Since agile software development require continuous improvement, metrics helps in identifying bottlenecks and inefficiencies thereby enabling teams to refine their processes iteratively. Productivity metrics also helps in effective resource allocation and optimization to ensure timely delivery of software products by Software Project Managers. Although metrics have been developed for traditional software programmers little work has been done in developing metrics for Agile Software Project Managers specifically for JavaScript Program. In this work, metrics for Individual Expert agile software programmers and specifically for JavaScript was developed. Programs in JavaScript was designed and developed to record the time spent in correcting deliberate errors introduced. Experiment was conducted among one hundred programmers' group of Individual Expert pairs with the aim of recording time spent in debugging the codes, The curve fit regression models of time spent in debugging a number of bugs in agile software written in JavaScript programming language for project managers revealed that Cubic model had the highest R squared value of 0.996 which is closely followed by the quadratic model with a value of 0.980 while the compound, growth and exponential models have the least value of 0.868.Item Review of Spectrum Occupancy Measurements in the Context of Cognitive Radio(IJIPC 2019, 2019-12) Ajiboye, Johnson Adegbenga; Babatunde Araoye Adegboye; Abiodun Musa Aibinu; Jonathan Gana KoloPresently, there is a progressive growth in the proportion of internet users as well as deployment of data intensive applications which has led to higher demand for bandwidth on the usable spectrum space for the unlicensed and licensed frequency bands. Spectrum is a scarce and limited resource, inefficiencies in the management of spectrum has resulted to a recent and unique communication standard for explotting the current licensed spectrum in an opportunistic manner. Cognitive Radio (CR) has proved to be the solution to this seeming highly demanded spectrum Several studies have been conducted on spectrum occupancy across the world in order to observe and determine the bands that have been underutilized so as to make room for the new technological emergences such as CR. This review shows that from previous works done, there is a research gap in the spectrum measurement work for TV band and specifically the VHF band in Nigeria.Item Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers(2023-11-06) Mary Adebola Ajiboye; Matthew Sunday Abolarin; Ajiboye, Johnson Adegbenga; Abraham Usman Usman; Sanjay MisraDue to the rapidly evolving technology in the dynamic world, there is a growing desire among software clients for swift delivery of high quality software. Agile software development satisfies this need and has been widely and appropriately accepted by software professionals. The maintainability of such software, however, has a significant impact on its quality. Unfortunately, existing works neglected to consider timely delivery and instead concentrated primarily on the flexibility component of maintainability. This research looked at maintainability as a function of time to rectify codes among Individual Junior and Random pair soft ware developers. Data was acquired from an experiment performed on software developers in the agile environment and analyzed to develop the quality model metrics for maintainability which was used for prediction. One hundred programmers each received a set of agile codes created in the Python programming language, with deliberate bugs ranging from one to ten. The cubic regression model was used for predicting time spent on debugging errors above ten bugs. Results show that the random pair programmers spent an average time of 21.88 min/error while the individual programmers spent a lesser time of 16.57min/error.Item Cognitive Radio Networks, a Key Technology of Future Wireless Communication: Challenges and Opportunities(IUP Journal of Telecommunications, 2012-11-01) Ajiboye, Johnson Adegbenga; Yinusa Ademola AdediranIt is a well-known and established fact that the current approach of fixed spectrum allocation, the command-and-control model, makes the spectrum or the finite resource to be grossly underutilized or inefficient. There are so many bands of the spectrum already licensed to users but which in reality are unoccupied at some instance in time thereby creating spectrum holes. These are 'opportunities' that could be harnessed. Cognitive Radio (CR) is a promising technology being envisioned to solve the problem of spectrum underutilization and allows for real-time spectrum management. The CR, in a non-interference basis, opportunistically explores the unused channel, thereby ensuring efficient usage of this 'scarce' resource. The CR is a sure technology for the next generation wireless systems. In a CR, a licensed user, also called a Primary User (PU), has a priority over the Secondary User (SU) which has no spectrum license. Therefore, at the arrival of a PU, an opportunistic SU vacates the occupied channel and seeks another empty channel to be allocated. In this way, spectral efficiency is greatly enhanced. In this work, we examine the challenges that this new technology is bound to face.Item A Comparison of Code Maintainability in Agile Environment(IUP Journal of Information Technology, 2016-06-01) Mary Adebola Ajiboye; Matthew Sunday Abolarin; Ajiboye, Johnson AdegbengaThe demand for quick delivery of quality software is becoming high among software clients due to the fast changing technology in the dynamic world. Agile software development meets this demand and has gained appropriate and wide acceptance among software practitioners. However, the quality of such software is greatly impacted by its maintainability. Unfortunately, existing works focused only on the flexibility aspect of maintainability without paying attention to timely delivery. In this work, maintainability as a function of time to correct codes was examined among various categories of software developers. Deliberate errors, ranging from two to nine, were introduced into sets of agile codes written in python programming language and given to 100 programmers, each in the groups of individual junior, individual expert, random, expert pairs, junior pairs and junior expert pairs. The results revealed that random pair programmers spent the highest time of 21.88 min/bug on the average, while individual experts spent the least time of 16.26 min/bug.Item One–Bit Compressive Sensing Algorithm for Wideband Spectrum Sensing: A Review(I3C 2024, 2024-04-22) Majin R.N; Kolo J.G; Dauda U.S; Ajiboye, Johnson AdegbengaSpectrum sensing (SS) is one of the most important techniques in wireless communication for understanding the radio environment. SS techniques, however, are ineffective since they require costly, impractical high-rate analog-to-digital converters (ADCs) for timely communications. However, there are challenges and limitations in traditional spectrum sensing techniques (SSTs), including estimation of sparsity level, selection of the number of measurements, noise uncertainty, receiver uncertainty, sensitivity at low signal-to-noise-ratio (SNR) values, and interference from channel coding. One-bit compression (CS) has been seen as a promising sensing technique that allows extremely easy, efficient, and fast sampling and quantization for wideband spectrum sensing. It can be used in cognitive radio (CR) communication by making use of sparsity in spectrum occupancy brought about by underutilization of the spectrum. In this paper, we provide an overview of compressive spectrum sensing (CSS) algorithms in wideband CR, the current state-of-the-art of CSS in wideband spectrum sensing (WBSS) communication, and its advantages and limitations.Item Wireless Sensor Networks: State of Arts(IEC 2023, 2023-03-21) Okafor A.C; Dauda U.S; Kolo J.G; Ohize H.O; Ajiboye, Johnson AdegbengaThe enhancement of the Wireless Sensor Network (WSN) have made technology much easier and is impacting on all fields of endeavours. The invention of WSN and the present advancement especially in the field of Engineering is the main focus of this article. The paper has also enlightened the current state of the WSN in data collection procedure. The marketplace of the WSN and its growth has been elaborated in the paper along with the future scope and challenges.