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Intelligent Sound-Based Early Fault Detection System for Vehicles

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Computer Systems Science & Engineering 2023年第9期46卷 3175-3190页

作者： Fawad Nasim Sohail Masood Arfan Jaffar usman ahmad Muhammad Rashid Superior University LahorePakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan National University of Technology IslamabadPakistan

An intelligent sound-based early fault detection system has been proposed for vehicles using machine *** system is designed to detect faults in vehicles at an early stage by analyzing the sound emitted by the *** detection and correction of defects can improve the efficiency and life of the engine and other mechanical *** system uses a microphone to capture the sound emitted by the vehicle and a machine-learning algorithm to analyze the sound and detect faults.A possible fault is determined in the vehicle based on this processed *** classification is done at the first stage to differentiate between faulty and healthy *** collected noisy and normal sound samples of the car engine under normal and different abnormal conditions from multiple workshops and verified the data from *** used the time domain,frequency domain,and time-frequency domain features to detect the normal and abnormal conditions of the vehicle *** used abnormal car data to classify it into fifteen other classical vehicle *** experimented with various signal processing techniques and presented the comparison *** the detection and further problem classification,random forest showed the highest results of 97%and 92%with time-frequency features.

关键词： Sound classification signal processing random forest random tree time-frequency domain J48

Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture

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Computer Systems Science & Engineering 2023年第5期45卷 2125-2140页

作者： usman ahmad Muhammad Junaid Ali Faizan Ahmed Khan Arfat ahmad Khan ArifUr Rehman Malik Muhammad Ali Shahid Mohd Anul Haq Ilyas Khan Zamil SAlzamil Ahmed Alhussen Bahria University Islamabad45550Pakistan COMSATS University Islamabad Islamabad45550Pakistan University of Central Punjab Lahore54000Pakistan College of Computing Khon Kaen UniversityKhon Kaen40000Thailand COMSATS University Islamabad Vehari61170Pakistan Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Building an automatic fish recognition and detection system for largescale fish classes is helpful for marine researchers and marine scientists because there are large numbers of fish ***,it is quite difficult to build such systems owing to the lack of data imbalance problems and large number of *** solve these issues,we propose a transfer learning-based technique in which we use Efficient-Net,which is pre-trained on ImageNet dataset and fine-tuned on QuT Fish Database,which is a large scale ***,prior to the activation layer,we use Global Average Pooling(GAP)instead of dense layer with the aim of averaging the results of predictions along with having more information compared to the dense *** check the validity of our model,we validate our model on the validation set which achieves satisfactory ***,for the localization task,we propose an architecture that consists of localization aware block,which captures localization information for better prediction and residual connections to handle the over-fitting ***,the residual connections help the layer to combine missing information with the relevant *** addition,we use class weights and Focal Loss(FL)to handle class imbalance problems along with reducing false ***,class weights assign less weights to classes having fewer instances and large weights to classes having more number of *** the localization,the qualitative assessment shows that we achieve 57%Mean Intersection Over Union(IoU)on testing data,and the classification results show 75%precision,70%recall,78%accuracy and 74%F1-Score for 468 fish species.

关键词： Underwater species transfer learning k-nearest neighbors global average pooling efficientnet

Estimation of Solar Energy Potential from Rooftop of Punjab Government Servants Cooperative Housing Society Lahore Using GIS

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Smart Grid and Renewable Energy 2015年第5期6卷 128-139页

作者： Muhammad Luqman Sajid Rashid ahmad Samiullah Khan usman ahmad ahmad Raza Farkhanda Akmal Institute of Geology University of the Punjab Lahore Pakistan

Pakistan has a severe electricity load shading problem. Government is trying to find out all ways for electricity generation. Alternative energy board is working to find out the energy potential using all alternative resources. Board has an objective to produce 9700 MW by 2030 to overcome load shading problem. A research was designed to find out the solar energy potential as an alternative source of energy from rooftops of residential areas in district Lahore. Punjab Governments servants housing society Lahore is selected. The society has minimum slope, aspect and shadows effects on the roofs. Also houses in PGSHS have same house structures and good town plan. A few portions of roofs are digitized to measure the available rooftop area for Photovoltaic panel’s installation. GIS models are used to find out solar energy potential monthly as well as yearly for the year of 2014. The potential estimated is 39,613,072 kWh/year. The monthly total energy consumption of the society is 347,140 kWh which is only 11% of energy production from PV solar panels. As the estimated energy is 9 times than the energy demand of the society, extra energy can be used in local/national electricity transmission grid. Solar PV energy would be supplement to compensate energy shortfall in local area.

关键词： Photovoltaic Alternative Energy Pakistan CO2 Emission Rooftop

H2and H∞Controller Design of Twin Rotor System (TRS)

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Intelligent Control and Automation 2013年第1期4卷 55-62页

作者： usman ahmad Waqas Anjum Syed Mahad Ali Bukhari Center for Advanced Studies in Engineering Islamabad Pakistan University of South Asia Lahore Pakistan

Control engineering had been the core of all engineering fields all the time. As the name depicts, control of different parameters of various industrial or commercial equipment like plants, vehicles, aircrafts and etc is obtained. Robust and optimal control of these equipments plays a vital role. This paper presents a design of H2 and H∞ control for a Twin Rotor System (TRS). TRS is a multi input multi output (MIMO) nonlinear system. The main objective is to control the angular position of the lever bar of TRS. It is having strong coupling between inputs and outputs. The model is first linearized and then controllers are designed to control the positions of lever bar. Simulations are made in MAT- LAB/SIMULINK. Model parameters are also provided in the end.

关键词： Robust Optimal Control TRS MIMO Linearization Controller

Lung Cancer: Facts, Figures and Reflections on Spending

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Journal of Cancer Therapy 2012年第2期3卷 123-126页

作者： usman ahmad Michael Ruschel Frank C. Detterbeck Department of Thoracic Surgery Yale New Haven Hospital Yale University School of Medicine New Haven USA School of Medicine Universitat Leipzig Leipzig Germany

The war on cancer was declared 40 years ago. While the potential for reducing deaths is increasing, so are the costs. Finding the right prioritization in our complex world is difficult;we present some interesting facts regarding other wars and aspects of society that are worth reflecting on as we struggle to find the right balance.

关键词： Lung Cancer Costs Screening

GIS Based Management System for Photovoltaic Panels

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Journal of Geographic Information System 2015年第4期7卷 392-401页

作者： Muhammad Luqman Sajid Rashid ahmad Samiullah Khan Farkhanda Akmal usman ahmad ahmad Raza Muhammad Nawaz Asif Javed Hamad Ali Institute of Geology University of the Punjab Lahore Pakistan Department of Space Science University of the Punjab Lahore Pakistan Punjab Group of Colleges Kasur Pakistan Punjab University College of Information Technology University of the Punjab Lahore Pakistan

This paper provides a proposal of implementation of latest technologies in photovoltaic installation and management system. Punjab Government Cooperative Housing Society was selected to find out suitability for photovoltaic installation and its management after that. Google Earth imagery and scanned maps were selected for the preparation of spatial and attribute data of buildings in the study area by using ArcGIS software. In first stage data were digitized and suitability and potential for each building were estimated. In second stage all the tabular data which consisted of owner information, panel information, its potential and location were linked to each other for management purpose. Selected area for solar panels installation was linked to building information for query and visualization.

关键词： Photovoltaic (PV) Asset Management Google Earth Imagery ArcGIS 10 Geographical Information System (GIS)

Investigating Factors of Slope Failure for Different Landsliding Sites in Murree Area, Using Geomatics Techniques

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Journal of Geoscience and Environment Protection 2015年第8期3卷 39-45页

作者： Zia Ul Mustafa Sajid Rashid ahmad Muhammad Luqman usman ahmad Samiullah Khan Muhammad Nawaz Asif Javed College of Earth and Environmental Sciences University of the Punjab Lahore Pakistan The Urban Unit Urban Sector Planning and Management Services Unit (Pvt.) Ltd. Lahore Pakistan Department of Space Science University of the Punjab Lahore Pakistan Punjab Group of Colleges Pattoki Campus Kasur Pakistan

Throughout the mountainous part of Pakistan, Murree is considered to host the worst slide affected areas. Landslide risk assessment, mapping and analysis is a labour intensive and time consuming work by using conventional field based methods. In this study Geomatics techniques have been applied on digital data such as satellite image and DEM, to investigate some possible causes of slope failure in selected landslide risk zones. The Remote sensing technology and GIS capabilities have been implemented using Landsat TM (30 m) multispectral data and Aster DEM (30 m). Satellite image and digital elevation model have been used to generate rock type map, aspect map, streams order map and slope map. The possible factors of slope failure for different zones of land sliding have been predicted by integrating information from all maps. It has been found that major causes of slope failure have been addressed, also it has been noted that water is the most dominant factor to cause land sliding in Murree area. Results are available for supporting hazard studies, disaster management and future development plans.

关键词： Landslide Pakistan Geomatics Hazard Landsat DEM GIS

Lung Cancer: Facts, Figures and Reflections on Spending

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Emerging insights into the function of very long chain fatty acids at cerebellar synapses

Journal of Cancer Therapy 2012年第2期

作者： usman ahmad Michael Ruschel Frank C. Detterbeck

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Neural Regeneration Research 2025年第6期20卷 1709-1710页

作者： Martin-Paul Agbaga Mohiuddin ahmad Department of Cell Biology and Ophthalmology University of Oklahoma Health Sciences Centerand Dean McGee Eye InstituteOklahoma CityOKUSA

Very long chain-saturated and-polyunsaturated fatty acids(VLC-SFA and VLC-PUFA, respectively) are a functionally important class of fatty acids containing 28 carbons or more in their acyl chain. They are synthesized by the elongation of very long fatty acids-4(ELOVL4) enzyme, expressed mainly in the brain, retina, skin, testes, and meibomian gland, where these fatty acids are found(Agbaga et al., 2008). Further, these organs exhibit tissuespecific VLC-PUFA and VLC-SFA biosynthesis and incorporation into complex lipids for specific functions. In the brain, skin, and Meibomian glands, the ELOVL4 mainly makes VLC-SFA, which are incorporated into complex sphingolipids. In the retina, the ELOVL4 makes VLC-PUFA that are incorporated into phosphatidylcholine, that are critical for visual function, while in testes and sperm, the VLC-PUFA are incorporated into sphingolipids that are critical for fertility(Yeboah et al., 2021).

关键词： functions function insight