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Adaptive Method to Estimate Link Budget Parameters in Wireless Networks
2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Localization is crucial for sensor nodes to functionally operate in a sensor network. It becomes more challenging when the nodes are mobile in an area where the GPS coverage is unreliable. The transmission path between the transmitter and the receivers defines the way the signal propagates and therefore the resulting received signal strength. Most sensor nodes use the measured Received Signal Stre...Show More
Design and Implementation of Decentralized Streetlight Dimming System for Different Motion Sensor Strengths and Unlimited Light Poles
2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2022 | Conference Paper |
Due to the negative impact of the high energy consumption of street lighting systems that is represented by the high level of CO2 emissions and its consequences on global warming, this paper proposes an adaptive traffic dependent street light dimming system. The presented system adopts the decentralized strategy for unlimited number of light poles. Through this study, an automatic light dimming sy...Show More
Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters
Maen Takruri;Abubakar Abubakar;Abdul-Halim Jallad;Basel Altawil;Prashanth R. Marpu;Amine Bermak
In this paper, we propose a machine learning system for the estimation of atmospheric particulate matter (PM) concentration, specifically, particles with a maximum diameter of $2.5{\mu }\text{m}$ . These very fine particles, also known as PM2.5 particles, are very dangerous to the human body as they are small enough to penetrate deep areas of the vital organs. The proposed system uses a combinati...Show More
A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites
Aisha K. El Allam;Abdul-Halim M. Jallad;Mohammed Awad;Maen Takruri;Prashanth R. Marpu
The standardization of the physical aspects of nanosatellites (also known as CubeSats) and their wide adoption in academia and industry has made the mass production and availability of off-the-shelf components possible. While this has led to a significant reduction in satellite development time, the fact remains that a considerable amount of mission development time and effort continues to be spen...Show More
DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor
Maen Takruri;Abubakar Abubakar;Noora Alnaqbi;Hessa Al Shehhi;Abdul-Halim M. Jallad;Amine Bermak
Good nutrition is an important part of leading a healthy lifestyle. This has brought into stark focus the need for efficient and low-cost methods for large scale food quality assessment. This article proposes a non-invasive and non-destructive system for estimating the freshness of apples using polarization images from a Division-of-Focal-Plane (DoFP) polarization camera. The proposed system uses ...Show More
A Hybrid Denoising Algorithm of BM3D and KSVD for Gaussian Noise in DoFP Polarization Images
Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak
In this paper, we present a hybrid denoising algorithm dedicated to division-of-focal plane (DoFP) polarization images. The proposed algorithm, centered around the Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD) denoising algorithms, is capable of significantly enhancing the grouping step in the second round of collaborative filtering by purifying the “Semi-F...Show More
Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors
Abubakar Abubakar;Maen Takruri;Noora Al Naqbi;Hessa Al Shehhi;Wafaa Ba Hutair;Amine Bermak
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2019 | Conference Paper |
This paper compares the performance of the reported denoising algorithms for Division-of-Focal-Plane (DoFP) polarization image sensors. While the reported denoising algorithms each covered analysis on interpolated images in their respective publications, analysis was not extended to less sightseen parameters, namely Fully Polarized and Unpolarized images, which are other derivatives from Stokes pa...Show More
A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors
Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eessa Bastaki;Amine Bermak
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In this paper, we present a hybrid denoising algorithm for division-of-focal-plane (DoFP) polarization image sensors, which is based on Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD) denoising algorithms. The proposed algorithm employs the KSVD denoising algorithm to improve the “First Estimate” image in BM3D algorithm, which dictates the second round of gro...Show More
Lookup Table Based Comparative Study in Energy Saving for Street Lighting System Applications
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Street dimming light systems have been proposed in many studies for energy saving. Based on this fact, this paper investigates the possibility of desired schemes of light dimming based on lookup table process and presents a comparative analysis in terms of electronic design and power enhancement with respect to each scheme. Pulse width modulation technique is adopted though a Boost DC-DC converter...Show More
BM3D Filtering Algorithm for DoFP Polarization Image Sensors
Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
Year: 2018 | Conference Paper |
In this paper, we present a Block Matching and 3D filtering (BM3D) algorithm dedicated to the division-of-focal-plane (DoFP) polarization image sensors. This method, based on grouping and a non-local filtering method named collaborative filtering, exploits all the different polarization channels simultaneously. Extensive experimental results on the test images show that the algorithm outperforms a...Show More
A Block-Matching and 3-D Filtering Algorithm for Gaussian Noise in DoFP Polarization Images
Abubakar Abubakar;Xiaojin Zhao;Shiting Li;Maen Takruri;Eesa Bastaki;Amine Bermak
In this paper, we present a block-matching and 3-D filtering (BM3D) algorithm dedicated to the division-of-focal-plane (DoFP) polarization images. This algorithm based on a non-local collaborative filtering method is capable of exploiting all the different polarization channels simultaneously. Compared with the previously reported implementations for DoFP sensors, the proposed algorithm attenuates...Show More
Support vector regression based electricity peak load forecasting
2018 11th International Symposium on Mechatronics and its Applications (ISMA)
Year: 2018 | Conference Paper |
Cited by: Papers (19)
Electricity load demand forecasting is integral for planning and execution of various projects vital to urban development. It is highly essential for safe operation of power systems and to prevent power failures in future. This paper discusses the use of machine learning strategies, specifically, Support Vector Machines, for predicting future peak load demand based on historical data. Support Vect...Show More
Design and implementation of wireless diagnostic system for street light dimming applications
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Modern street lighting systems are demonstrating capability of saving energy through light dimming in the case of no vehicle motion. Continuous monitoring of street lamps is essential to ensure the reliability of street lighting systems. This study presents a new electronic design and implantation of a wireless diagnostic system which is capable of continuously measuring the lamp current and detec...Show More
Bayesian decision fusion for enhancing melanoma recognition accuracy
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2017 | Conference Paper |
Cited by: Papers (7)
This paper studies the problem of automated noninvasive skin cancer (melanoma) detection from digital images of skin lesions. It proposes the use of Bayesian Decision Fusion of a multiple of classifiers to enhance the melanoma detection rates. A comparison with other decision fusion systems along with standalone classifiers in terms of accuracy and confidence intervals is made. The relation betwee...Show More
Decentralized localization in wireless sensor networks
Mohammad Al-Hattab;Maen Takruri;Hussain Attia;Huthaifa Al-Omari
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Localization is an imperative stage in building a routing matrix between nodes in Wireless Sensors Network (WSN). It is essential for exchanging the measured Data in the network and making informed conclusions. This paper reviews the localization techniques for Wireless Sensor Networks Nodes. It presents a mathematical model for finding sensors locations based on Received Signal Strength Indicator...Show More
Automatic non-invasive recognition of melanoma using Support Vector Machines
2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)
Year: 2016 | Conference Paper |
Cited by: Papers (10)
This paper proposes an automated non-invasive system for skin cancer (melanoma) detection based on Support Vector Machine classification. The proposed system uses a number of features extracted from the Grey Level Co-occurrence Matrices (GLCM) of the gray-scale skin lesion images, and color features obtained from the original color images. The dataset used include digital images for skin lesions t...Show More
Multi-classifier decision fusion for enhancing melanoma recognition accuracy
2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
This paper proposes an automated non-invasive multi-classifier system for skin cancer (melanoma) detection. The proposed system fuses the results obtained from three classification systems to enhance the melanoma detection rate. All of the classification systems use Support Vector Machine classifier. However, the image feature sets used in each classification system are different. The features set...Show More
Design of decentralized street LED light dimming system
2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)
Year: 2016 | Conference Paper |
Cited by: Papers (11)
To reduce power consumption due to street lighting, we propose replacing conventional power consuming High Pressure Sodium Lamps and metal Halide lamps with LED lamps which consume much less power. We also propose employing LED light dimming by modifying the light intensity based on the traffic conditions on the road. Most of the dimming systems currently deployed on the streets use computerized a...Show More
Electronic monitoring and protection system for drunk driver based on breath sample testing
2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
This paper focuses on the problem of drunk driver which is represent one of the major reasons for traffic accidents during the last decades. Alcohol negatively affects the drunk driver judgment abilities and driving skills. Many engineering solutions have been proposed to reduce the consequences of drunk driving. However, most of these solutions were based on a certain type of control units or tho...Show More
Automatic recognition of melanoma using Support Vector Machines: A study based on Wavelet, Curvelet and color features
2014 International Conference on Industrial Automation, Information and Communications Technology
Year: 2014 | Conference Paper |
Cited by: Papers (9)
This paper proposes an automated non-invasive system for skin cancer (melanoma) detection based on Support Vector Machine classification. The proposed system uses a number of features extracted from the Wavelet or the Curvelet decomposition of the grayscale skin lesion images and color features obtained from the original color images. The dataset used include both digital images and Dermoscopy ima...Show More
Automatic recognition of melanoma using Support Vector Machines: A study based on Wavelet, Curvelet and color features
Year: 2014 | Conference Paper |
A three-level classifier: Fuzzy C Means, Support Vector Machine and unique pixels for Arabic handwritten digits
2014 World Symposium on Computer Applications & Research (WSCAR)
Year: 2014 | Conference Paper |
Cited by: Papers (4)
In this study, we present a classification approach for handwritten Arabic digits (symbols). Like numbers in other languages, Arabic numbers consists of nine digits. Character images of Arabic digits are similar in the sense that one single classifier will not give a reliable classification rate. Therefore, the implementation of more levels of classification is important for the realization. We in...Show More
The automatic identification of melanoma by wavelet and curvelet analysis: Study based on neural network classification
2011 11th International Conference on Hybrid Intelligent Systems (HIS)
Year: 2011 | Conference Paper |
This paper proposes an automatic skin cancer (melanoma) classification system. The input for the prosed system is a collected data images, it followed by different image processing procedures to enhance the image properties. Two segmentation methods used to identify the normal skin cancer from malignant skin and to extract the useful information from these images that passed to the classifier for ...Show More
Data fusion techniques for auto calibration in wireless sensor networks
2009 12th International Conference on Information Fusion
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Wireless sensor networks are deployed for the purpose of sensing and monitoring an area of interest. Sensor measurements in sensor networks usually suffer from both random errors (noise) and systematic errors (drift and bias). Even when the sensors are properly calibrated at the time of deployment, they develop errors in their readings leading to erroneous inferences to be made by the network. In ...Show More
Auto calibration in drift aware wireless sensor networks using the interacting multiple model algorithm
2008 Mosharaka International Conference on Communications, Computers and Applications
Year: 2008 | Conference Paper |
Cited by: Papers (6)
The purpose for wireless sensor networks is to deploy low cost sensors with sufficient computing and communication capabilities to support networked sensing applications. The emphasis on lower cost led to sensors that are less accurate and less reliable than their wired sensor counterparts. Sensors usually suffer from both random and systematic bias problems. Even when the sensors are properly cal...Show More
Online drift correction in wireless sensor networks using spatio-temporal modeling
Maen Takruri;Sutharshan Rajasegarar;Subhash Challa;Christopher Leckie;Marimuthu Palaniswami
2008 11th International Conference on Information Fusion
Year: 2008 | Conference Paper |
Cited by: Papers (7)
Wireless sensor networks are deployed for the purpose of sensing and monitoring an area of interest. Sensors in the sensor network can suffer from both random and systematic bias problems. Even when the sensors are properly calibrated at the time of their deployment, they develop drift in their readings leading to erroneous inferences being made by the network. The drift in this context is defined...Show More
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