151 research outputs found
AUT730299_Lay_Abstract – Supplemental material for Oral assessment of children with autism spectrum disorder in Rawalpindi, Pakistan
No full textSupplemental material, AUT730299_Lay_Abstract for Oral assessment of children with autism spectrum disorder in Rawalpindi, Pakistan by Fatima Suhaib, Asfia Saeed, Hashmat Gul and Muhammad Kaleem in Autism</p
زبانِ اُردو اور قائدِ اعظمؒ
No full textQuaid-e-Azam Muhammad Ali Jinnah was the leader of Muslim community in sub-continuent. He worked for the glory and freedom of Muslim with all aspect. He fight for the sovergnity of Urdu as language of Muslims. Urdu poets also gave him great respect and honour. They composed a lot of poems and songs in the memory off Quaid- e-Azam
حفیظ جالندھری بحیثیت گیت نگار
No full textMuhammad Hafeez Jalindhri is renowed by "National anthem of Paskitan" and "Shah Nama Islam". He belongs to romantic literary school of thought. He introduced imagination in Urdu litererary songs (Geets). He made the attractive images of Nature. Their infrigurative language is consist of Arabic and Persion languages. Music, rethem and melody are the characteristics of his peotry. His composed songs (Geets) are the blend of Hindi matras and Arabic Persion bahor
Preliminary gene characterization of ?-amylase from Bacillus amyloliquefaciens UMAS 1002
No full textCharacterization of ?-amylase gene sequence produced by Bacillus amyloliquefaciens UMAS 1002, a cellulolytic and amylolytic bacilli isolated from sago pith waste is described here. The amyE gene encoding the ?-amylase was isolated by polymerase chain reaction. The 1,980 bp of amyE gene corresponding to 660 amino acids showed 99% homology to the ?-amylase sequence from Bacillus subtilis X-23 (GenBank: BAA31528). The ?-amylase sequence of B. amyloliquefaciens UMAS 1002 (GenBank: KC800929) differs from that of B. subtilis X-23 by 5 amino acids. In silico analysis of ?-amylase from B. amyloliquefaciens UMAS 1002 showed similar characteristics compared to ?-amylase from B. subtilis X-23
EVALUATING AN INTERNATIONAL HUMAN RESOURCE MANAGEMENT STRATEGY FOR NEW TELECOMMUNICATION GROUP IN DEVELOPING COUNTRIES, CONCENTRATING ON PAKISTAN (A CASE STUDY OF VODAFONE)
No full textHuman Resource Managemen
Discharge mechanism in CO2: A study on possible occurrence of secondary discharges caused by field distortion during streamer or leader propagation
No full textSince the introduction of SF6 in the 1950s, gas-insulated high voltage circuit breakers and Gas-insulated switchgear (GIS) have improved considerably, in particular concerning required drive energy for operation, compactness, and reliability. Nevertheless, high voltage insulation design has become increasingly challenging in recent years. Customer demands for reducing the physical footprint of HV equipment has led to an increase in operational field stress and therefore, much higher pressure on tolerances and increased susceptibility to defects. Dielectric design is based on how electrostatic fields are distributed and how much stress they can generate. In the course of conducting the intensive theoretical and experimental investigations on the dielectric design of insulation systems applied to high voltage power and pulsed power applications, it is becoming necessary to consider the influence of phenomena that have not been considered before. On top of that, as SF6 is one of the greenhouse gases listed in the Kyoto Protocol, SF6 usage regulations have been implemented in many industries. In Europe, SF6 is regulated under the F-Gas directive, which bansor restricts its use for several purposes. Several studies have indicated that CO2 is a viable alternative to SF6 for the transmission and distribution of electricity.In this context, this project aims to investigate a potential new phenomenon, theoccurrence of secondary discharges caused by propagating streamer or leader discharges in HV gas insulation. Learning more about such phenomena can help us improve the dielectric design or perhaps explain the occurrence of breakdowns reported in high voltage equipment for which no obvious cause could be found. Specifically, CO2/O2 mixtures will be studied, and its results compared to SF6. Breakdown in gaseous insulation is caused by propagating discharges that are external in ambient air, e.g. on a bushing, or inside high-pressure insulation, e.g. across the surface of a GIS insulator. During the propagation of such discharges and flashovers (streamer or leader), transient electric field enhancement may occur, leading the local fields to exceed the inception fields at other locations. This can result in secondary discharges.Dielectric experiments using Image Intensifier and Photomultiplier tubes (PMT)have been conducted at three different pressure ranges; SF6 and CO2/O2 were selected as the insulation mediums. A negative polarity electric field is expected to trigger the secondary discharge. An analysis of images obtained from optical investigations and time lag records obtained from PMT signals suggested that secondary discharges can occur at low pressures (0.2MPa) in both SF6 and CO2/O2. At higher pressures (0.4 to 0.6MPa), no secondary discharges were detected. The reason for this is that, at higher pressures, the breakdown field is higher leading to a faster propagation of discharge across that gap. Hence, the formative time lag of the discharge is very short (some 100푛푠 or less) and this short time is not sufficient for secondary discharge inception.Electrical Engineering | Electrical Power Engineerin
Towards vocal tract MRI synthesis from facial signals using external to internal correlation modelling
No full textOral health underpins everyday functions such as speech, mastication and swallowing, yet acquiring detailed kinematic data on the vocal tract remains technically and financially demanding. Ultrasound and electromagnetic articulography offer only partial coverage, while Real Time Magnetic Resonance Imaging (RtMRI) data delivers richer information but requires expensive scanners and bespoke acquisition protocols. These constraints limit large-scale studies and the routine use of dynamic vocal-tract models in both research and clinical practice.
Motivated by the need for an affordable, non-invasive alternative, this thesis introduces External to Internal Correlation Modelling (E2ICM), a novel framework that learns correlations between external facial signals and internal articulator motion, enabling vocal-tract modelling without direct imaging. The work pursues four objectives: (i) advanced segmentation of RtMRI sequences, (ii) quantification of articulator interdependencies, (iii) prediction of internal motion from purely external observations, and (iv) ethical evaluation of AI-driven approaches in oral healthcare.
Both static and temporal segmentation pipelines are developed for RtMRI data. Generative adversarial networks and diffusion models are then employed to synthesise internal views from facial video, addressing data scarcity through tailored augmentation strategies. A thematic analysis of professional interviews highlights concerns around privacy, security and algorithmic bias, informing an ethical framework for clinical deployment.
A key contribution is a dual-view dataset comprising synchronised high-resolution RtMRI and external video captured during controlled speech and chewing tasks. Experimental results demonstrate that (E2ICM can predict vocal-tract configurations with promising accuracy while reducing reliance on costly imaging. Improved segmentation techniques and a deeper understanding of articulator dynamics further advance the state of the art in non-invasive oral-movement modelling
Parallel graph algorithm
No full textThis report records the author’s work during the project’s period. This project will study
parallel graph algorithm for solving graph based problem. It will research the shortest
path problems and all shortest path problems.
The author studied some well-known algorithms such as Dijiskstra algorithm and Floyd
algorithm. They have been studied in sequential, parallel with shared memory and
distributed memory. After that the author ran a benchmark for Floyd algorithm with
distributed memory to analyze it further.
After studied the shortest path problems, the author came up with a new approach which
used Floyd algorithm in order to reduce the number of cycles which needs to complete
the calculation for all shortest path problem. The author applied the knowledge about
parallel processing and graph problem to complete the study.
The report highlights what the author did and learnt during the final year project’s
period.Bachelor of Engineering (Computer Science
Geospatial data model of enterprise GIS for Kulai Municipal Council
No full textThe implementation and development of GIS as a tool for decision making by government agencies and local authority has grown rapidly. However, the GIS implementation by government agencies and local authority is not implementing Enterprise GIS among department and division that involved with GIS development in MPKu. Every government agencies and local authority have developed GIS by using their own specification, standard and purpose of planning and development. Because of this, geospatial data repository that has been located at each agency can’t be shared easily. Thus the implementation of Enterprise GIS is one of solution to provide a platform for geospatial data sharing. To enable the sharing of geospatial data, geospatial data standards can be crucial. This research was conducted by taking two departments in Kulai Municipal Council (MPKu) which are Property Valuation and Management Department and Urban Planning Department as a case study and only focuses on development of geospatial data model for MPKu. To develop this geospatial data model, the researcher has identified and gets requirements from both departments. From these requirements, geospatial data model for MPKu is developing by referring to chosen standard which is Malaysia Standard Geographic Information/Geomatics – Features and Attributes Codes. The result from this research have been evaluate by using several methods which are doing a demonstration and also doing a user acceptance test. The result also have been evaluate by a chosen GIS expert
Towards vocal tract MRI synthesis from facial signals using external to internal correlation modelling
No full textOral health underpins everyday functions such as speech, mastication and swallowing, yet acquiring detailed kinematic data on the vocal tract remains technically and financially demanding. Ultrasound and electromagnetic articulography offer only partial coverage, while Real Time Magnetic Resonance Imaging (RtMRI) data delivers richer information but requires expensive scanners and bespoke acquisition protocols. These constraints limit large-scale studies and the routine use of dynamic vocal-tract models in both research and clinical practice.
Motivated by the need for an affordable, non-invasive alternative, this thesis introduces External to Internal Correlation Modelling (E2ICM), a novel framework that learns correlations between external facial signals and internal articulator motion, enabling vocal-tract modelling without direct imaging. The work pursues four objectives: (i) advanced segmentation of RtMRI sequences, (ii) quantification of articulator interdependencies, (iii) prediction of internal motion from purely external observations, and (iv) ethical evaluation of AI-driven approaches in oral healthcare.
Both static and temporal segmentation pipelines are developed for RtMRI data. Generative adversarial networks and diffusion models are then employed to synthesise internal views from facial video, addressing data scarcity through tailored augmentation strategies. A thematic analysis of professional interviews highlights concerns around privacy, security and algorithmic bias, informing an ethical framework for clinical deployment.
A key contribution is a dual-view dataset comprising synchronised high-resolution RtMRI and external video captured during controlled speech and chewing tasks. Experimental results demonstrate that (E2ICM can predict vocal-tract configurations with promising accuracy while reducing reliance on costly imaging. Improved segmentation techniques and a deeper understanding of articulator dynamics further advance the state of the art in non-invasive oral-movement modelling
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