4.5 Article

Optical-Interference Mitigation in Visible Light Communication for Intelligent Transport Systems Applications

Journal

ENERGIES
Volume 13, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/en13195064

Keywords

intelligent transport systems (ITS); visible light communication (VLC); light emitting diode (LED); bit error rate (BER)

Categories

Funding

  1. AGH University of Science and Technology [16.16.120.773]

Ask authors/readers for more resources

Intelligent Transport Systems (ITS) are anticipated to be one of the key technologies for the next decade and their deployment can benefit from the recent developments in the domain of Visible Light Communication (VLC). Light Emitting Diode (LED)-based low-cost VLC is considered in this work to provide a practical approach towards the implementation of an ITS by addressing the major issues of channel noise, free-space optical multipath reflections and interference from light sources. An analytical model is presented for the proposed Multiple-Input-Single-Output (MISO)-based VLC, and simulations are performed to analyze the performance of the system for various transmission distances. Results show that the proposed optimal receiver for 4 x 1 MISO can provide considerable improvement in the bit error rate for the forward error correction (FEC) threshold of 3.8 x 10(-3) in the presence of optical interference, and is suitable to support an ITS with an inter-vehicle transmission approach. The comparison of achieved performance with existing solutions for VLC-based ITS depicts that the proposed framework provides much higher data rates, three times longer transmission distance and improved receiver sensitivity.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Physical

Formulation of zwitter-ionic terpolymeric hydrogels and their comprehensive rheological investigation

Muhammad Irfan, Luqman Ali Shah, Abbas Khan, Muhammad Farooq, Mohib Ullah, Muhammad Ismail

Summary: With the rapid development in various fields, the demand for hydrogels with specific properties is increasing. In this study, a flexible zwitterionic hydrogel was synthesized and its properties were tested using a rheometer. The hydrogel showed pH sensitivity and rheological properties, making it suitable for applications in industries such as painting and cosmetics.

JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY (2023)

Article Polymer Science

Gamma irradiation protection via flexible polypyrrole coated bismuth oxide nanocomposites

Muhammad Irfan, Muhammad Aslam, Zulfiqar Ali Raza

Summary: In this study, a PVA-PPy-Bi2O3 nanocomposite was fabricated using the solution casting method. The mass attenuation coefficients of the composite were significantly enhanced by increasing the Bi2O3 nanoparticle content, leading to improved gamma irradiation shielding properties.

POLYMER BULLETIN (2023)

Article Environmental Sciences

Addressing the effect of meteorological factors and agricultural subsidy on agricultural productivity in India: a roadmap toward environmental sustainability

Imran Ali Baig, Muhammad Irfan, Md Abdus Salam, Cem Isik

Summary: This study investigates the key determinants of food grain yield in India, focusing on the impacts of climate change and agricultural subsidy. The results indicate that rainfall has a positive impact on grain yield, while temperature and carbon emissions have a negative effect. Non-climatic factors such as capital formation and fertilizer usage also contribute positively to grain yield, while crop area, agricultural subsidy, and employment have negative effects. The findings suggest the importance of technological innovation and precision agriculture in increasing agriculture production and productivity, as well as the need for policies addressing climate change and promoting eco-friendly renewable energy.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Environmental Sciences

Modeling factors of biogas technology adoption: a roadmap towards environmental sustainability and green revolution

Shahid Ali, Qingyou Yan, Asif Razzaq, Irfan Khan, Muhammad Irfan

Summary: Adopting biogas technology in a developing country like Pakistan is a complex process. The government has taken steps to address energy issues by increasing biogas facilities and identifying barriers to the deployment of biogas plants. Study results suggest that reducing economic and governmental barriers and encouraging farmers to effectively use biogas plants are crucial for promoting the implementation of biogas technology.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Automation & Control Systems

Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification

Abdullah A. Asiri, Bilal Khan, Fazal Muhammad, Shams ur Rahman, Hassan A. Alshamrani, Khalaf A. Alshamrani, Muhammad Irfan, Fawaz F. Alqhtani

Summary: Recent technological advancements in the medical profession have played a crucial role in the early detection and categorization of diseases that cause mortality. This study analyzed and tested several machine learning algorithms, finding that Support Vector Machine (SVM) outperformed others in terms of classification accuracy.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2023)

Article Computer Science, Information Systems

Deepview: Deep-Learning-Based Users Field of View Selection in 360° Videos for Industrial Environments

Muhammad Irfan, Khan Muhammad, Muhammad Sajjad, Khalid Mahmood Malik, Faouzi Alaya Cheikh, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque

Summary: This article discusses the significant bandwidth consumption of immersive videos in industry 4.0 and proposes a solution using convolutional neural networks to select the user's region of interest and reduce bandwidth usage.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Automation & Control Systems

Thermographic fault diagnosis of electrical faults of commutator and induction motors

Adam Glowacz

Summary: In this paper, the author proposes a fault diagnosis technique for thermal images analysis of commutator motors (CMs) and single-phase induction motors (SIMs). Original feature extraction methods, including DAMOM, DAM20HP, DAMMH, and IB, were used, and the feature vectors were classified using the Nearest Neighbor classifier and Long short-term memory (LSTM). The proposed analysis was successful, achieving high recognition efficiency for both CMs and SIMs. The study presents an innovative perspective on the development of thermal imaging diagnostics and provides valuable insights into thermographic diagnostics of electrical motors.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)

Article Biochemistry & Molecular Biology

Design and validation of a novel multi-epitopes vaccine against hantavirus

Taghreed N. Almanaa, Ayman Mubarak, Muhammad Sajjad, Asad Ullah, Muhammad Hassan, Yasir Waheed, Muhammad Irfan, Saifullah Khan, Sajjad Ahmad

Summary: Hantavirus, a member of the Bunyavirales order, is an emerging global pathogen that has affected millions of people worldwide. A potential multi-epitopes-based vaccine against hantavirus was designed using T-cell epitope prediction and immunoinformatics analysis. The vaccine's binding potential with TLR-3 immune receptor was evaluated, and docking studies revealed promising interactions. The findings suggest that the designed vaccine could be a potential candidate for protection against hantavirus.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2023)

Article Biochemistry & Molecular Biology

A computational quest for identifying potential vaccine candidates against Moraxella lacunata: a multi-pronged approach

Asad Ullah, Mahboob ul Haq, Madiha Iqbal, Muhammad Irfan, Saifullah Khan, Riaz Muhammad, Amin Ullah, Muhammad Khurram, Metab Alharbi, Abdullah F. F. Alasmari, Sajjad Ahmad

Summary: Moraxella lacunata is an emerging gram-negative bacterium responsible for multiple nosocomial infections. A multi-epitope-based vaccine has been designed for M. lacunata using fusion of selected epitopes and cholera toxin-B adjuvant. Docking analysis and molecular dynamics simulation showed strong interactions and stable binding conformation between the vaccine and immune cell receptors. Theoretical binding free energies were estimated using MM-PBSA and MM-GBSA methods.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2023)

Article Materials Science, Multidisciplinary

Structural, Thermoelectric, Electronic, and Magnetic Properties of Pristine Intermetallic Rare-Earth-Based XMn2Si2 (X=Dy, Er) Compounds

Zeshan Zada, Junaid Khan, Abdul Ahad Khan, Ali H. Reshak, Dania Ali, Fazal Ur Rehman, Inayat Urrahman, Muhammad Saqib, Muhammad Irfan, Muhammad M. Ramli

Summary: In this study, the detailed properties of the rare-Earth based XMn2Si2 (X=Dy, Er) compounds were investigated using the FP-LAPW method with GGA+U in the ferromagnetic phase. The results show that the ferromagnetic phase is the most suitable for these compounds, as supported by previous experimental findings. The compounds exhibit metallic behavior with hybridization between the Dy/Er-f and Mn-d states in the valence band and the Si-p state in the conduction band. The rare-Earth based DyMn2Si2 compound shows stronger ferromagnetic behavior patterns compared to ErMn2Si2. Additionally, ErMn2Si2 demonstrates high ZT values in the high-temperature region, making it a potential contender for high-temperature applications in waste heat management.

ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY (2023)

Article Computer Science, Information Systems

AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm

Muhammad Irfan, Nasir Ayub, Qazi Arbab Ahmed, Saifur Rahman, Muhammad Salman Bashir, Grzegorz Nowakowski, Samar M. M. Alqhtani, Marek Sieja

Summary: Sentiment analysis is being studied in the field of text mining to computationally handle a text's views, emotions, subjectivity, and subjective nature. The researchers developed a novel method called ResNet-SCSO for extracting expressions from textual information and addressing the problem of removing emotional aspects through multi-labeling. By analyzing five distinct datasets and using various techniques such as preprocessing, GloVe and TF-IDF feature extraction, and word association using word2vec, the accuracy of ResNet-SCSO was tested and found to outperform other commonly used techniques.

ELECTRONICS (2023)

Article Energy & Fuels

Bioconversion of fruit peels to levan by solid state fermentation and statistical optimization by response surface methodology

Shagufta Saeed, Mahnoor Shahid, Rahat Naseer, Misbah Ghazanfar, Muhammad Irfan

Summary: This study presents the production of levan, a naturally occurring polysaccharide, through solid state fermentation using various sucrose-rich fruit peels. Mango peels were found to have the highest levan yield, which was further optimized through response surface methodology. The functional groups of levan were confirmed by FTIR analysis and it was found to contain only fructose sugar.

BIOMASS CONVERSION AND BIOREFINERY (2023)

Article Computer Science, Information Systems

Artificial Intelligence and Internet of Things Enabled Intelligent Framework for Active and Healthy Living

Saeed Ali Alsareii, Mohsin Raza, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Hasan Raza, Muhammad Awais

Summary: Obesity poses challenges to healthcare and individuals, but surgery can reduce risks and enable weight loss. State-of-the-art technologies, such as IoT, can be used to effectively communicate and analyze patient data. The proposed IoT framework aims to create accurate patient profiles and translate data into meaningful information.

CMC-COMPUTERS MATERIALS & CONTINUA (2023)

Article Environmental Sciences

Going green: how do green supply chain management and green training influence firm performance? Evidence from a developing country

Naila Nureen, Yongrong Xin, Muhammad Irfan, Shah Fahad

Summary: Using natural resource-based view theory, this study examined the relationship between green supply chain management, green training, green organizational culture, and firm performance. Data was collected from 650 participants in the Chinese manufacturing sector through a survey questionnaire. Structural equation modeling (SEM) was used to test the hypotheses. The findings support the positive impact of green supply chain management on firm performance and highlight the mediating role of green training, as well as the moderating role of green organizational culture.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Computer Science, Artificial Intelligence

Ventilation diagnosis of minigrinders using thermal images

Adam Glowacz

Summary: This paper presents a technique for analyzing thermal images of minigrinders. Different states of minigrinders were analyzed and two methods for computing essential areas of thermal images were proposed. The analysis was verified and found to be effective for fault diagnosis with 100% recognition efficiency.

EXPERT SYSTEMS WITH APPLICATIONS (2024)

No Data Available