611 research outputs found
Thermoplastic Transverse Bar as Speed Reducer / Muhammad Akram Adnan
No full textThis paper summarizes a research project that evaluates the performance of traffic marking material
made from thermoplastic, which is used as transverse bar. Transverse bar is designed to alert drivers
by inducing vibration and noise as the vehicle crosses the devices which eventually will 'self enforcement'
the drivers to decrease their speed. The study was conducted in two main stages; first data
collection from field survey followed by data analysis. Detailed speed measurements recorded before
and after the markings were laid at the sites. A total of one hundred and fifty speed measurements
were recorded at the site using a radar gun. The results showed a large initial reduction in traffic speed
after one week of installation of the device. However one year later the traffic speeds recorded showed
that the speed resume back to normal although not completely. The effect of driving over these markings
is quite unique, "the faster a driver passes through the device, the less uncomfortable they become".
This can be seen from the speed profile after one year of installation where drivers tend to
increase speed while crossing the device. Probably, some drivers who are aware of the device can
explain this phenomenon. Other factors such as traffic volume and composition may also affect the
effectiveness of this device; through visual observation, impact on lorry and trucks is not effective.
However, significant reduction in speed by approximately 12% is observed when the performance of
the thermoplastic is in good condition
Factors that influence stock price of logistics companies in Malaysia / Muhammad 'Arif Akram Adnan
No full textThe aims of this research are to study the effect and correlation between the selected variables and stock price using annual data from 2011 to 2020, which is ten years involved. There is one dependent variable which is stock price of the selected logistics companies listed in Bursa Malaysia and four (4) independent variables which are inflation rate (INF), interest rate (INT), return on assets (ROA) and return on equities (ROE). Ordinary least squares (OLS) have been used to estimate the unknown parameters in a linear regression model. The result is analysed by using the panel series data regression analysis model
Privacy-Preserving Spatial Crowdsourcing Drone Services for Post-Disaster Infrastructure Monitoring: A Conditional Federated Learning Approach
No full textSixth-generation (6G) networks, offering ultra-low latency and high bandwidth, provide critical support for rapid data transmission in post-disaster environments where conventional infrastructure may be compromised. This study presents a privacy-preserving framework for post-disaster structural health monitoring (SHM) by integrating 6G-enabled Internet of Drone Things (IoDT) and spatial crowdsourcing. Drones and unmanned ground vehicles (UGVs) collect real-time imagery of damaged infrastructure. To address privacy concerns and reduce communication overhead, we employ Federated Learning (FL), which enables decentralized model training on local devices without transmitting raw data. A key challenge in FL is the presence of non-independent and identically distributed (non-IID) data across clients, which degrades global model performance. To mitigate this, we propose Personalized Conditional Federated Averaging (PC-FedAvg), a selective aggregation method that incorporates only client models with low validation loss into the global update. The PC-FedAvg framework is built on EfficientNetV2 and includes personalized model adaptation to enhance generalization on heterogeneous data. Experimental results on the “Concrete Crack Images for Classification” dataset demonstrate that PC-FedAvg outperforms baseline FL methods in accuracy and stability. This approach improves the effectiveness and reliability of SHM systems in real-world post-disaster scenarios by enabling timely and accurate damage assessment while preserving data privacy
Supervised Learning Approach for Intrusion Detection in Unbalanced Network Traffic
No full textIntrusion detection systems (IDS) serve as critical sentinels in network security, assuming a paramount role in identifying and mitigating potential threats. With the evolution of our digital landscape, robust and productive intrusion detection mechanisms have become increasingly imperative. The significance of IDS lies in their ability to safeguard network resources’ integrity, confidentiality, and availability. In an era where cyber threats constantly evolve in complexity and scale, IDS serves as the front line of defence, tirelessly monitoring network traffic to pinpoint suspicious activities and mitigate potential security breaches. To address the class imbalance problem, the Synthetic Minority Over-sampling Technique (SMOTE) was applied to pre-process the CIC-IDS 2017 and NSL-KDD 2009 datasets. Advanced machine learning technique is harnessed to enhance IDS capabilities, specifically through utilising Support Vector Machines (SVM) for subsequent classification tasks. The experimental outcomes on both datasets unveil exceptional accuracy of 99% and performance across multiple intrusion types, underscoring the effectiveness of our SVM-based approach in strengthening IDS
sj-docx-2-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
No full textSupplemental material, sj-docx-2-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
sj-docx-1-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
Exploration of safety performance and traffic behaviour on Selangor-Kuala Lumpur urban expressway at merging section / Muhammad Akram Adnan … [et al.]
No full textAs defined in the Highway Capacity Manual (HCM 2000), an expressway is a divided highway with full control of access and with two or more lanes for each direction. The two directions of the expressway must be completely separated along its entire length. Accesses to expressways are only allowed at entrance ramp and expressways vehicles exit through off- ramp. From the view point of a highway and traffic engineer, there are two types of ramp. On ramp or entrance ramp, by which drivers can enter the expressway and off-ramp or exit ramp by which drivers can leave the expressway. This research explores the safety issues during the maneuverability during merging and diverging operation. During the process of merging, ramp vehicles need to adjust their speed and gaps in order to enter mainline safely. Expressway areas at entrance and exit ramps are characterized by concentrated turbulence to the traffic stream on the mainline due to intensive vehicular interaction. Therefore, these areas, which include ramp merge, diverge and weaving section are viewed as potential bottlenecks in expressway operations. Acceleration and deceleration lanes are designed as safety facilities allowing ramp vehicles to make a smooth merge without causing interference to expressway streams. A well designed acceleration lane should permit drivers to perform a safe merge as well as deceleration lane for smooth diverging process. The knowledge of operational performance at these critical areas is importance to various transportation applications including planning, design, operation and management. At present, there are no adequate procedures that can be used to consider the impacts of traffic conditions or geometric features on expressway traffic performance and safety based on Malaysian expressway conditions. Due to the lack of guidance in the current practice, this research attempts to describe an overview understanding and set up the basis of expressway operational performance and safety behaviors at these critical areas for practical consideration for Malaysian practice. A model have been developed for ramp merging process and systematic methodology to evaluate the safety operational performance had been proposed for Malaysian driving style
The Reflection of Islamic Culture and Beliefs in the Stories of Dr. Akram Osman
No full textThe sacred religion of Islam encompasses its own distinct principles, laws, and worldview, as presented through the Holy Quran, a divine guide for humanity. This guidance shapes the beliefs, actions, and morals of Muslims according to an Islamic perspective. Islam is a comprehensive and complete religion that addresses all aspects of individual, familial, social, economic, political, and cultural life. It provides everything necessary for human guidance and prosperity, as conveyed to humanity by Prophet Muhammad (PBUH), the savior of mankind, who is the final prophet, and Islam is the ultimate and final religion. In Islamic societies, the responsibility of promoting and conveying Islamic teachings was not limited to religious scholars alone. Muslim poets and writers also undertake this significant mission, using their literary talents in both poetry and prose to inspire individuals and societies with the values and teachings of this sacred religion. The late Dr. Mohammad Akram Osman, a distinguished author from Afghanistan, made remarkable contributions to storytelling that not only enriched the world of literature but also served as a guide for humanity in learning and understanding Islamic culture and beliefs. This article aims to explore the reflection of Islamic culture and beliefs in the stories of Dr. Mohammad Akram Osman, highlighting his ability to intertwine Islamic teachings with literary expression
Design of road humps in residential area
No full textSpeed hump is one of the traffic calming devices that has been installed in residential area in Malaysia. This study was to find a better design of speed hump in reducing speed of vehicles. Data were collected using Speed Radar Meter Detector Two sets of data were collected. They were speed before reaching the hump (at 30m before the device, this is due to safe stopping sight distance) and speed over the hump for both motorcycles and cars. Data were collected in one hour or at least 50 vehicles at three locations. The effectiveness of the humps is measured by comparing the reduction in speed at the hump. The effectiveness of the speed hump also influenced by other parameters such as height and width of it
Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih
No full textIn the past seven decades, Constraint Satisfaction (CS) has been extensively studied and remarkably evolved to where the scientific community perceives it as the centre of the intelligent behaviour. Therefore, most of the recent research in the field is devoted to improving the problem solvers that utilize search strategies and techniques. Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. Moreover, since the establishment of the field, AI pioneers and specialists have setup instructions and guidelines on how to solve this type of problems back in the seventies of the last century and have not been changed or improved. For example, the framework of solving CSP imposes a complete permutation of assignments to all remaining variables in order to derive a valid model. The author argues in this study that the problem can be neutralised and it is not necessary to perform brute-force searching all the time if a search strategy could have guided the process to the level where the values of the remaining variables can be determined implicitly, creating what the author calls Solo-Path of assignments in the problem search tree
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