Innovative Computing Review

IoT-enabled Non-invasive Glucose Monitoring and Heart Rate Detection: A Smart Solution for Diabetes Management

Thu, 29 May 2025 08:55:43 +0000

Acetone, traditionally considered a metabolic waste product, has been found to play a more significant role in physiological processes. Recent technological advancements enable the detection of acetone in human breath, offering a promising alternative to blood and urine sampling for clinical and research applications. The study aimed to explore the potential of the Internet of Things (IoT)-enabled breath acetone as a non-invasive biomarker, particularly for diabetes detection. The experimental setup involves an Arduino Mega board integrated with a TGS822 gas sensor, SEN-11574 pulse sensor, DHT22 humidity and temperature sensor, and a TFT display to measure acetone levels in exhaled breath. IoT-based system ensures efficient data acquisition and real-time monitoring. This offers a comprehensive non-invasive solution to assess acetone as a biomarker in diabetes management. Findings indicate that acetone concentrations in the breath of diabetic patients consistently exceed 1.7 PPM, while non-diabetic individuals exhibit levels below or equal to 1.6 PPM. Acetone stands out as a potential diagnostic marker for diabetes. This is because its levels show a clear and measurable difference in individuals with diabetes as compared to those without diabetes. This significant variation makes acetone a reliable indicator, which could be useful to diagnose diabetes or monitor its progression. Breath acetone analysis offers a non-invasive, sensitive, and practical approach to diagnose and monitor diabetes. This presents an advantageous alternative to conventional methods. The simplicity and effectiveness of this technique make it an attractive option for continuous monitoring. Further research could expand its applicability to other clinical conditions, enhancing patient care and diagnostic efficiency.

Monitoring Forest Disturbance Using Sentinel Data: A Case Study of Non-seasonal Time Series Approach

Thu, 29 May 2025 09:02:51 +0000

Monitoring deforestation and reforestation dynamics is critical for forest conservation, particularly in biodiversity-rich regions, such as Khyber Pakhtunkhwa (KPK), Pakistan. The current study aimed to introduce a novel application of the PVts-β method for non-seasonal time series analysis using Sentinel-1 radar imagery. Moreover, the study also addressed limitations of traditional approaches, such as reliance on optical data and sensitivity to cloud cover. By quantifying deforestation (7,985 hectares) and reforestation (4,098 hectares) between 2018 and 2022, the study highlighted significant land cover changes. As compared to the existing methods, such as Breaks for Additive Season and Trend (BFAST) and Continuous Change Detection and Classification (CCDC), PVts-β offers advantages in computational efficiency and disturbance detection accuracy, as validated through performance metrics and sensitivity analysis. The results provide actionable insights for conservation strategies and policy-making, emphasizing the adaptability of the methodology to various regions and forest types. The current study advances remote sensing applications in forest monitoring, offering a robust framework to address global environmental challenges.

Survey of Linux-Based Free Software Tools for Electrical and Computer Engineering (ECE)

Thu, 29 May 2025 09:12:18 +0000

The undergraduate program in Electrical and Computer Engineering (ECE) is a four-year curriculum where students work on several software to complete their coursework. These tools are accessible to students in universities where they spend several hours completing their assignments, a process not doable under the COVID-19 global lockdown. Hence, students either (i) access their university labs remotely via virtual private networks, or in the absence of remote access (sadly) (ii) resort to using pirated software, or (regretfully) (iii) are deprived of hands-on knowledge of the course. In this (post) COVID-19 era, educators are required to adopt teaching pedagogy in order to ensure maximum delivery of their course material. In an attempt to facilitate experimental learning, this effort provides a detailed survey of Linux-based tools coupled with their corresponding coursework within ECE with the hope that the content provided in this paper would be of some relief to students and teachers engaged in ECE education globally.