Harun Jamil

Jeju National University | jejunu · Electronic Engineering

Maximizing the efficiency of photovoltaic (PV) systems relies heavily on employing efficient maximum power point tracking (MPPT) algorithms. This research focuses on the advancement of enhanced MPPT algorithms capable of achieving the maximum power point (MPP) under different climatic profiles. This paper proposes an adapted perturb and observe-bas...

Proportional Integral Derivative (PID) controllers are widely employed in industrial applications due to their effectiveness, simplicity, and versatility. Within the automotive sector, one notable application of the Proportional Integral (PI) controller is in the realm of electric motors, particularly the Brushless Direct Current (BLDC) motors powe...

Among many parts of mobility systems in EVs that the Electrical Control Unit (ECU) supervises and manages are the VCU, ESC, EPS, and BCU. By integrating and synchronizing various subsystems, the integrated ECU facilitates effective power allocation, efficient regenerative energy capture, and maximum usage of available energy resources. The many fac...

Cloud computing has the potential to offer an abundance of computing resources on demand due to its high scalability, which eliminates the need for providers to plan far in advance for hardware provisioning. Security remains a significant challenge in promoting cloud computing, but artificial intelligence (AI) can improve cloud services by enhancin...

Precise indoor tracking of smartphone users in intricate multi-story structures is an instructive challenge, particularly in dangerous scenarios. To precisely identify users, we present the EPF-WDE (Enhanced Particle Filter-Weighted Differential Evolution) scheme in this study. This novel fusion-based approach uses smartphone sensors such as accele...

This survey study analyzes the driving and braking control logic algorithms in electric vehicles (EVs) to enhance energy efficiency and speed control. It explores their applications with Smart Grids and Sustainable Energy systems, emphasizing the potential impact of integrating EVs with renewable energy technologies. Moreover, it examines recent ad...

Mobile cloud computing (MCC) provides resources to users to handle smart mobile applications. In MCC, task scheduling is the solution for mobile users’ context-aware computation resource-rich applications. Most existing approaches have achieved a moderate service reliability rate due to a lack of instance-centric resource estimations and task offlo...

Background Understanding the intricacies of wildfire impact across diverse geographical landscapes necessitates a nuanced comprehension of fire dynamics and areas of vulnerability, particularly in regions prone to high wildfire risks. Machine learning (ML) stands as a formidable ally in addressing the complexities associated with predicting and map...

This paper tackles the vital issue of missing value imputation in data preprocessing, where traditional techniques like zero, mean, and KNN imputation fall short in capturing intricate data relationships. This often results in suboptimal outcomes, and discarding records with missing values leads to significant information loss. Our innovative appro...

Sarcasm, a standard social media message, delivers the opposite meaning through irony or teasing. Unfortunately, identifying sarcasm in written text is difficult in natural language processing. The work aims to create an effective sarcasm detection model for social media text data, with possible applications in sentiment analysis, social media anal...

This study provides a novel way to detect duplicate questions in the Stack Overflow community, posing a daunting problem in natural language processing. Our proposed method leverages the power of deep learning by seamlessly merging Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to capture both local nuances and long-...

Over the past decade, IoT-orchestrated frameworks have demonstrated significant advantages in enhancing the performance of mission-critical applications. However, distributed generation systems like microgrids and nanogrids have not fully harnessed the capabilities of IoT technology to address the limitations of conventional methods. The effectiven...

The integrated Electronic Control Unit (ECU) plays a pivotal role in optimizing energy efficiency within electric vehicles (EVs) by coordinating various subsystems, including the Vehicle Control Unit (VCU), Electrical Power Steering (EPS), Electronic Stability Control (ESC), and Body Control Unit (BCU). Our comprehensive review deeply explores the...

Breast cancer, a widespread malignancy predominantly affecting women aged 40 and above, presents a significant global health challenge with high mortality rates. The scarcity of medical data underscores the need for collaborative efforts among hospitals to enhance automated breast cancer detection. This research employs decentralized Federated Lear...

In the landscape of smartphone-based human activity recognition (S-HAR), adopting Federated Deep Learning (FDL) introduces challenges, notably in communication inefficiencies and data confidentiality. These issues stem from the requisite submission of learning model parameters by multiple clients to FDL’s global model. To surmount these challenges,...

This survey critically examines the integration of energy management systems within smart residential buildings, serving as key nodes in the smart city network. It systematically maps out the intricate relationships between smart grid technologies, energy storage capabilities, infrastructure development, and their confluence in residential settings...

Over the last few years, substantial research has been conducted towards developing efficient abnormal detection techniques while considering efficiency, accuracy, high-dimensional data, distributed environments, and others. Researchers increasingly deal with “abnormalities” in clinical patient data to derive relevant clinical knowledge for making...

The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge. This paper proposes a pioneering approach to ensur...

The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge. This paper proposes a pioneering approach to ensur...

The Internet of things has revolutionized various domains, such as healthcare and navigation systems, by introducing mission-critical capabilities. However, the untapped potential of IoT in the energy sector is a topic of contention. Shifting from traditional mission-critical electric smart grid systems to IoT-based orchestrated frameworks has beco...

In the event of a fire breaking out or in other complicated situations, a mobile computing solution combining the Internet of Things and wearable devices can actually assist tracking solutions for rescuing and evacuating people in multistory structures. Thus, it is crucial to increase the positioning technology's accuracy. The sequential Monte Carl...

Background Interest in Human Action Recognition (HAR), which encompasses both household and industrial settings, is growing. HAR describes a computer system’s capacity to accurately recognize and evaluate human activities and behaviors, akin to what humans call perception. Real-time federated activity identification architecture is suggested in thi...

Citation: Sohail, H.; Hassan, M.u.; Elmagzoub, M.A.; Rajab, A.; Rajab, K.; Ahmed, A.; Shaikh, A.; Ali, A.; Jamil, H. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet. Sensors 2023, 23, 5259. https://doi. Abstract: A vehicular ad hoc network (VANET) is a technique that uses vehicles with the ability to...

Citation: Sohail, H.; Hassan, M.u.; Elmagzoub, M.A.; Rajab, A.; Rajab, K.; Ahmed, A.; Shaikh, A.; Ali, A.; Jamil, H. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet. Sensors 2023, 23, 5259. https://doi. Abstract: A vehicular ad hoc network (VANET) is a technique that uses vehicles with the ability to...

Diabetes is a chronic disease that is escalating day by day and requires 24/7 continuous management. It may cause many complications, precisely when a patient moves, which may risk their and other drivers’ and pedestrians’ lives. Recent research shows diabetic drivers are the main cause of major road accidents. Several wireless non-invasive health...

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipped vehicles on the road grabs the attention of researchers and is constantly striving to take it further. This type of wireless network infrastructure helps to establish communication between vehicles. Roadside units, sensors, and vehicular nodes are th...

Traditional ML based IDS cannot handle high-speed and ever-evolving attacks. Furthermore, these traditional IDS face several common challenges, such as processing large amounts of network profiling data, low accuracy and detection rates, and data imbalance. Therefore, there is an immense demand for a security system for multi-purpose network applic...

In this paper, human activity recognition (HAR) attempts to recognize activities of an object in a multistory building from data retrieved via smartphone-based sensors (SBS). Most publications based on machine learning (ML) report the development of a suitable architecture to improve the classification accuracy by increasing the parameters of the a...

Citation analysis-based systems are premised on assuming that all citations are equally important. The scientific community argues that a citation may hold divergent reasons and, thus, should not be treated at par. In this regard, a plethora of existing studies classify citations for varying reasons. Presently, the community has a propensity toward...

The shift of the world in the past two decades towards renewable energy (RES), due to the continuously decreasing fossil fuel reserves and their bad impact on the environment, has attracted researchers all around the world to improve the efficiency of RES and eliminate problems that arise at the point of common coupling (PCC). Harmonics and un-bala...

The shift of the world in the past two decades towards renewable energy (RES), due to the continuously decreasing fossil fuel reserves and its bad impact on the environment, attracted researchers all around the world to improve the efficiency of RES and eliminate problems that arise at the point of common coupling (PCC). Harmonics and un-balance in...

In videos, the human's actions are of three-dimensional (3D) signals. These videos investigate the spatiotemporal knowledge of human behavior. The promising ability is investigated using 3D convolution neural networks (CNNs). The 3D CNNs have not yet achieved high output for their well-established two-dimensional (2D) equivalents in still photograp...

Software Defined Networking (SDN) shows network operations to be performed for efficient network operations. Due to the increase in network devices, the percentage of attacks is also increased, and it is challenging to provide defense against such attacks. In SDN, the control plan is separated from the data plane. The control plan is implemented us...

Cloud computing is an ongoing pattern innovation that pushes the World ahead. It encourages the portable clients to run computationally concentrated and memory-requesting applications on a remote cloud and accessing their cell phones outcomes. Be that as it may, this methodology is inefficient for constant applications because of the generally trem...

Cloud computing can provide unlimited computing resources according to demand because of having high scalability as per its nature, which removes the requirements for the Cloud services providers in the planning of far-ahead on the provisioning of hardware. Security is a prime challenge for promoting cloud computing in the present period. Trust is...

The purpose of this research is to provide power grid energy efficiency solutions. In this paper, a comprehensive review and its optimal solution is proposed considering the various challenges of smart grid demand-side management. The main technique is based on a novel idea in the Smart Grid-demand response optimization which enables autonomous ene...

Internet of Things (IoT) has brought an immense revolution in diverse fields related to mission-critical systems including healthcare and navigation systems. We argue that the potential of IoT has not been fully exploited in the energy sector. There is a dire need to shift the traditional paradigm of mission-critical electric power ar-chitectures t...

The scientific community believes that peer-to-peer energy trading will dominate a significant portion of forthcoming power generation systems research. Despite a plethora of optimal energy trading solutions, optimizing the trading cost and intelligent formation of energy sharing strategies are deemed exigent problems. Contemplating the excessive r...

The concept of distributed generation has made photovoltaic an integral source of energy in smart grid systems, especially in peer-to-peer energy trading frameworks that exploit excess power to fulfill the energy requirements of consumers in cost-efficient and eco-friendly manner. It is believed that P2P energy trading will dominate a significant p...

The present era of the Internet of Things (IoT) having intelligent functionalities in solving problems pertaining to realtime mission-critical systems has brought an immense revolution in diverse fields including healthcare and navigation systems. However, to the best of our knowledge, the potential of IoT has not been fully exploited yet in the fi...

With the increasing number of mobile devices and IoT devices across a wide range of real-life applications, our mobile cloud computing devices will not cope with this growing number of audiences soon, which implies and demands the need to shift to fog computing. Task scheduling is one of the most demanding scopes after the trust computation inside...

The present era of the Internet of Things (IoT) having intelligent functionalities in solving problems pertaining to real-time mission-critical systems has brought an immense revolution in diverse fields including healthcare and navigation systems. However, to the best of our knowledge, the potential of IoT has not been fully exploited yet in the f...

Pakistan receives Direct Normal Irradiation (DNI) exceeding 2000 kWh/m2/annum on approximately 83% of its land, which is very suitable for photovoltaic production. This energy can be easily utilized in conjunction with other renewable energy resources to meet the energy demands and reduce the carbon footprint of the country. In this research, a hyb...

High energy consumption, rising environmental concerns and depleting fossil fuels demand an increase in clean energy production. The enhanced resiliency, efficiency and reliability offered by microgrids with distributed energy resources (DERs) have shown to be a promising alternative to the conventional grid system. Large-sized commercial customers...

This paper presents an enhanced PDR-BLE compensation mechanism for improving indoor localization, which is considerably resilient against variant uncertainties. The proposed method of ePDR-BLE compensation mechanism (EPBCM) takes advantage of the non-requirement of linearization of the system around its current state in an unscented Kalman filter (...

The scientific community has presented various citation classification models to refute the concept of pure quantitative citation analysis systems wherein all citations are treated equally. However, a small number of benchmark datasets exist, which makes the asymmetric citation data-driven modeling quite complex. These models classify citations for...

Restricted abilities of mobile devices in terms of storage, computation, time, energy supply, and transmission causes issues related to energy optimization and time management while processing tasks on mobile phones. This issue pertains to multifarious mobile device-related dimensions, including mobile cloud computing, fog computing, and edge compu...

Nonpublic network (NPN) is incipient to address censorious wireless communication requirements in industry, public safety, and infrastructure. These NPN’s are virtual or physical cellular systems that have been deployed for companies and governments private use. This paper presents a baseline roadmap to effectively establish a 5G private network co...

Current developments in information technology and increased inclination towards smart cities have led to the initiation of a plethora of features by technology-oriented companies (i.e., car manufacturers) to improve users’ privacy and comfort. The invention of smart vehicle technology paved the way for the excessive use of machine-to-machine techn...