Current Issue

Journal of ICT Research and Applications Vol. 16 Issue 3 2022

Vol. 16 No. 3 (2022)

Issue Articles

Articles Published in This Issue

Explore peer-reviewed research articles published in this issue.

researchpp. 197–209

Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques

Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building needs. However, with the massive amount of data, several problems arise regarding data quality and the lack of scalability in terms of computation memory and time in modeling. In this study, we used data reduction and ensemble learning techniques to overcome these problems. We used numerosity reduction, dimension reduction, and a LightGBM model…

Keywords
bagging boosting data reduction dimensionality reduction energy efficiency ensemble learning LightGBM numerosity reduction
0 Views0 Downloads1 Citations
researchpp. 210–225

Accuracy of Various Methods to Estimate Volume and Weight of Symmetrical and Non-Symmetrical Fruits using Computer Vision

Many researchers have used images to measure the volume and weight of fruits so that the measurement can be done remotely and non-contact. There are various methods for fruit volume estimation based on images, i.e., Basic Shape, Solid of Revolution, Conical Frustum, and Regression. The weight estimation generally uses Regression. This study analyzed the accuracy of these methods. Tests were done by taking images of symmetrical fruits (represented by tangerines) and non-symmetrical fruits (represented by strawberries). The images were processed using segmentation in saturation color space to…

Keywords
conical frustum estimation fruits regression solid of revolution
0 Views0 Downloads4 Citations
researchpp. 226–242

A Low Computational Cost RGB Color Image Encryption Scheme Process based on PWLCM Confusion, Z/nZ Diffusion and ECBC Avalanche Effect

In this work, three sub-processes are serially integrated into just one process in order to construct a robust new image encryption scheme for all types of images, especially color images. This integration architecture aims to create a robust avalanche effect property while respecting the constraints of confusion and diffusion that have been identified by Claude Shannon as properties required of a secure encryption scheme. The performance of the proposed encryption scheme is measured and discussed with several analyses, including computational cost analysis, key space analysis, randomness…

Keywords
avalanche effect chaos enhancement cipher block chaining enhancement color images encryption confusion diffusion ring-homomorphic operation
0 Views0 Downloads2 Citations
researchpp. 260–281

Cognitive Complexity Applied to Software Development: An Automated Procedure to Reduce the Comprehension Effort

The cognitive complexity of a software application determines the amount of human effort required to comprehend its internal logic, which results in a subjective measurement. The quantification process of the cognitive complexity as a metric is problematic since the factors representing the computation do not represent the exact human cognition. Therefore, the determination of cognitive complexity requires expansion beyond its quantification. The human comprehension effort related with a software application is associated with each phase of its development process. Correct requirements…

Keywords
cognitive complexity cognitive load comprehension software development subjectivity
0 Views0 Downloads4 Citations
researchpp. 301–313

Detection of Americans’ Behavior toward Islam on Facebook

Social network websites have become a rich place for detecting and analyzing people’s attitudes, perceptions, and feelings towards news, products, and other real-world issues. Facebook is a popular platform among different age groups and countries and is generally used to convey ideas about certain topics based on likes, comments and sharing. In recent years, one of the most controversial topics were the idea behind Islamophobia and other ideas built in people’s minds about Islam around the world. This research studied the public opinion of American citizens about Islam during the presidency…

Keywords
analysis behavior document frequency frequency-inverse logistic regession sentiment analysis
0 Views0 Downloads1 Citations
researchpp. 314–333

Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine

Stroke is believed to be among the leading causes of adult disability worldwide. It is wreaking havoc on African people, families, and governments, with ramifications for the continent’s socio-economic development. On the other hand, stroke research output is insufficient, resulting in a dearth of evidence-based and context-driven guidelines and strategies to combat the region’s expanding stroke burden. Indeed, for African and other developing economies to meet the UN Sustainable Development Goals (SDGs), particularly SDG 3, which aims to guarantee healthy lifestyles and promote well-being…

Keywords
CatBoost gradient boosting machine health stroke stroke prediction well-being
0 Views0 Downloads5 Citations

No articles match the selected filter or search query.