ABUAD Journal of Engineering Research and Development (AJERD)

EMD-Based Amplify Quantized and Forward Cooperative Relaying Technique for Wireless Communication System

Samson Iyanda OJO — 2026-01-24

Wireless communication system is crucial to telecommunications infrastructure and has played an essential role in national growth. However, the system's performance is hindered by multipath propagation, which has negatively impact in its performance. Amplify Quantized and Forward (AQF) cooperative relaying technique is ineffective because signal quality is degraded by amplification and blockages during transmission from the relay to the destination. Hence, an EMD-based AQF cooperative relaying for wireless communication system is proposed to enhance the existing AQF. The relays responsible for sending data to the second hub were determined by the multiple relay selection process. The selected relays processed the signal by passing it through EMD and amplifying it with the relay gain. Subsequently, the boosted signal was uniformly quantized at the relay nodes before its final send-off to the destination in the second transmission phase. The results showed that the proposed EMD-AQF technique outperformed the existing AQF, achieving a 74.5% reduction in bit error rate and a 65.8% increase in throughput.

Comparative Evaluation of Flask and web2py for AI Microservices: An Empirical Benchmark on Model-Inference Workloads

Oyetola Florence Idowu — 2026-01-31

Microservice-based deployments are increasingly used to serve AI models, but systematic empirical guidance on framework selection is limited. This paper presents a comparative evaluation of two Python frameworks (Flask 2.3.2 and web2py 2.24.1) for AI microservices through the implementation of a common AI Microservice Agent and controlled benchmarking. Experiments were run on Ubuntu 22.04 LTS with Python 3.10 on an Intel i7-12700 (16 GB RAM). The benchmark workload uses a logistic-regression inference task on a 10,000-row CSV dataset. It includes measurements of average latency (ms), throughput (requests/sec), peak memory (MB), CPU utilisation (%), and per-request computational time (ms). With under 100 concurrent clients, Flask achieved an average latency of 1.8 ms and a throughput of 556 req/s (peak memory ≈ usage 120 MB), while web2py recorded a latency of 4.2 ms and a throughput of 238 req/s (peak memory ≈ usage 280 MB). Results were stable across n = 10 repeated trials (95% CI reported in Section 4), and paired statistical tests confirm the observed performance differences (p < 0.01). We discuss trade-offs between rapid prototyping and production scalability, document reproducible setup details, and propose directions for expanding the benchmark to FastAPI, GPU workloads, and cloud-native orchestration.

Modelling Total Dissolved Solids Effects on Electrical Conductivity and Biochemical Oxygen Demand in River Benue, Makurdi

Sunday Apeh — 2026-01-31

Water is ubiquitous substance that must not be polluted as it contributes substantially to sustainable development and continuous existence of human being, aquatic life and environment. This research has attempted to model and establish, as well as confirm, the relationship that exists between the electrical conductivity/biochemical oxygen demand of surface water from the River Benue in Makurdi, and the total dissolved solids in the same water over a period of nine months, a system lacking such site-specific models. These water quality parameters were obtained from laboratory and field tests. The relationships were modelled using a regression modelling tool in Microsoft Excel. The results revealed a strong correlation between electrical conductivity and total dissolved solids in the surface water sample, with high R² values ranging from 0.7 to 0.9. On the other hand, the relationship between the biochemical oxygen demand and total dissolved solids exhibited a weak relationship, with low R² values ranging from 0.02 to 0.5. This has shown that the surface water contains some level of salinity and organic pollutants. It is recommended that treatment be implemented to reduce or eliminate these pollutants by identifying and controlling the sources of organic pollution, thereby safeguarding the river's ecological health.