Browsing by Author "Dauda U.S"

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Design and Development of An IoT – Based Multi – Health Vital Signs Monitoring System
(I3C 2024, 2024-04-22) Adegboye N.J; Dauda U.S; Ajiboye, Johnson Adegbenga; Ohize H.O; Adegboye B.A
This study presents the design and development of an IoT-based multi-health vital signs monitoring system that can monitor a patient’s basic health physiological parameters in real-time. In this system, four (4) sensors were used to capture the data from the patient. These are body temperature sensor, electrocardiogram (ECG) sensor, accelerometer sensor and the eye blink sensor. The hardware modules were interfaced with the liquid crystal display (LCD) to display the required data. Memory modules stored the designated phone numbers. The GSM module retains connectivity with the cellular networks acting as SMS receiver, which sends data on the patient’s vital signs. The LCD displays the data, which can be seen through the IoT. The microcontroller was programmed using C++ programming language and connects all sensors. This enabled conveyance of data on the patient’s health condition via IoT to the doctor for further processing and analysis.
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 Adegbenga
Spectrum 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.
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 Adegbenga
The 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.