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Exergy analysis of day light using fuzzy logic controllers of Jordanian commercial buildings
(Institute of Advanced Engineering and Science, 2020)
Saving energy and greenhouse gas emissions in commercial buildings become a very serious request of buildings’ designers and engineering crew. The goal behind the current research is to high light and demonstrate the outcome ...
Semantic Recognition of Human-Object Interactions via Gaussian-based Elliptical Modelling and Pixel-Level Labeling
(Institute of Electrical and Electronics Engineers Inc., 2021)
Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding ...
Autonomous system to control a mobile robot
(Institute of Advanced Engineering and Science, 2020)
This paper presents an ongoing effort to control a mobile robot in unstructured environment. Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination ...
Energy, economic and environmental analysis of fuzzy logic controllers used in smart buildings
(Institute of Advanced Engineering and Science, 2021)
This article is divided into three parts: the first presents a simulation study of the effect of occupancy level on energy usage pattern of Engineering building of Applied Science Private university, Amman, Jordan. The ...
Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier
(MDPI AG., 2021)
To prevent disasters and to control and supervise crowds, automated video surveillance has become indispensable. In today’s complex and crowded environments, manual surveillance and monitoring systems are inefficient, labor ...
A smart surveillance system for people counting and tracking using particle flow and modified som
(MDPI AG., 2021)
Based on the rapid increase in the demand for people counting and tracking systems for surveillance applications, there is a critical need for more accurate, efficient, and reliable systems. The main goal of this study was ...
A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras
(MDPI AG., 2021)
Automatic head tracking and counting using depth imagery has various practical applications in security, logistics, queue management, space utilization and visitor counting. However, no currently available system can clearly ...
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors
(Institute of Electrical and Electronics Engineers Inc., 2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...
Self-Care Assessment for Daily Living Using Machine Learning Mechanism
(Tech Science Press, 2022)
Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...
MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs
(Institute of Electrical and Electronics Engineers Inc., 2022)
More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...