Asian Journal of Engineering, Sciences & Technology

Abbreviated key title: AJEST
ISSN: 2077-1142
Published by: Iqra University
Periodicity: Bi-Annualy
Months: March & September
Start year: 2011

Title: An Assessment of Digital Elevation Models (DEMs) From Different Spatial Data Sources Author(s): O.A. Isioye, P. Jobin

Abstract: Digital Elevation Model (DEM) represents a very important geospatial data type in the analysis and modelling of different hydrological and ecological phenomenon which are required in preserving our immediate environment. DEMs are typically used to represent terrain relief. DEMs are particularly relevant for many applications such as lake and water volumes estimation, soil erosion volumes calculations, flood estimate, quantification of earth materials to be moved for channels, roads, dams, embankment etc. In this study, three different sources of spatial data in the generation of DEMs (Shuttle Radar Topography Mission SRTM 30, Digitized Topographical map and Google Earth Pro.) were compared with field measured data from Total Station Instrument, the field data were used to generate a Digital Elevation Models DEMs from 495 radial points over the test site. The accuracy of generated DEMs were assessed statistically by comparing (1) estimates of some topographic attributes(slope and aspect), (2)overall spot height estimation performance and, (3) independence of spot estimation errors and the magnitude of field measured height. From the results obtained it was concluded that the DEMs from the satellite imagery (SRTM 30) does not perform well in collecting data for topographic works. The digitized topographic map gives a good result but the variation from the reference in this study may be as a result of human activities and erosion that has occurred from when the topographic map was produced and also the quality of the topographic map. The Google Earth pro was also concluded to perform far better than the SRTM 30 data. Finally, it was recommended that Real Time Kinematic GPS combine with total station can be tested for speed and accuracy and also SRTM data and other global terrain data sources i.e., GTOPO, Microsoft Visual Earth and NASA World Wind can also be examined for suitability of their application over larger assessment area.


Title: Cloud Computing: Concepts and Trends Author(s): Tariq Haleem

Abstract: This paper presents an introduction to cloud computing and its applications. Cloud computing is a model where users can gain access to their applications from anywhere through their connected devices. A survey of its architecture and latest trends is also presented


Title: Analysis of GPS Signals for the Determination of Plate Movements and Environmental Modeling Author(s): Ikram-e-Khuda, Umer Zia

Abstract: Our focus of this paper is to discuss a method to determine the dynamics of two different continental plates, using GPS signals. The continental plates that are selected for the analysis are N.American and S.American plates. To determine the dynamics or plate movements, navigational signals of GPS are used. Access was made possible by Onsala Space Research Laboratories, Sweden [1]. Data from GPS measurements are observed for a time span of about eight to ten years.
Second part of this paper deals with the use of GPS signals to help us measure the change in the troposphere. Thus by having some prior knowledge and applying sensible calculations, future climate and several atmospheric processes can be predicted.


Title: Coverage Path Planning for Automated Inspection of Known Environment Author(s): Hammad Naeem, Jameel Ahmed

Abstract: This paper deals with the implementation of a coverage path planning algorithm for automated exploration of a known 2D world. The coverage path planning is the determination of set of goal points in the map, the robot must take in order to cover the entire environment. In this paper, segmentation based Boustrophedon Coverage algorithm is implemented and it is found that segmentation based implementation has certain advantages over classical implementation of Boustrophedon algorithm. The classical implementation is based on connectivity of a vertical sweeping line for determining obstacles in the environment. The Boustrophedon Decomposition is basically a generalization of the Trapezoidal Decomposition that allows non-polygonal obstacles as well. The Boustrophedon Decomposition generates far less cells as compared to Trapezoidal decomposition and hence improves the efficiency of coverage. The sensor based motion is embedded for safe navigation through unmapped obstacles. Application of coverage algorithms includes de-mining, vacuuming,sea-floor mapping, inspection, and space search. The platform used is Pioneer P3DX robot with a Hokuyo laser. The experimental setup is based on creation of a real world map and taking advantage of path planning algorithms provided by ARIA. Almost all the desired targets were successfully achieved and experiments are done on simulator and real robot.


Title: Peer-to-Peer Network Simulators: an Analytical Review Author(s): Mansoor Ebrahim, Shujaat Khan, Syed Sheraz-Ul-Hasan Mohani

Abstract: Simulators are the most dominant and eminent tool for analyzing and investigating different type of networks. The simulations can be executed with less cost as compared to largescale experiment as less computational resources are required and if the simulation model is carefully designed then it can be more practical than any well brought-up mathematical model. Generally P2P research is based on the principle of simulate first and then experiment in the real world and there is no reason that simulation results cannot be reproducible. A lack of standard documentation makes verification of results harder as well as due to such poor documentation implementation of well-known overlay algorithms was very difficult. This Paper describes different types of existing P2P simulators as well as provides a survey and comparison of existing P2Psimulators and extracting the best simulator among them.


Title: Prediction of Controlling Parameters of a Gas Liquid Separator using Inverse Function of Stacked Neural Network Author(s): Nadeem Hayat Qazi, Hoi Yeung, Yi Cao

Abstract: The work presented in this paper demonstrates a method to obtain an inverse function of a trained neural network by connecting it with a PID controller in a close loop. This scheme is implemented to predict a process parameter controlling the efficiency of a compact axial flow gas liquid separator (I-SEP). The data is taken from an experimental study of I-SEP (compact separator) with air-water two phase flow. It was found during these experiments that by manipulating the pressure difference between the two outlets of separator and the inlet, the performance parameter i.e. Gas Carry-Under (GCU) and Liquid Carry-Over (LCO) could be controlled but nonlinearly. It requires a tedious job to set the differential pressure between tangential and axial outlet to control the GCU. A stacked neural network model consisting of several individual neural networks having different architecture is developed. The inverse function of the combined neural network was then determined by connecting this trained neural network with a PID controller in a closed loop, which is then used to predict the pressure at the two outlets of the I-SEP for a given GCU. The optimal weight determination techniques for stacked neural network is also studied and compared in this paper.


Title: Management of Defense Fleet System in the Developing Asian Countries (Allied/Non-Allied Forces) in the War-On-errorism Author(s): Amjad Bhatti, Adnan Ashraf, Manzoor Ahmed Hashmani

Abstract: During WoT, one of the biggest challenges raised on borders of India, Pakistan, Iran and Afghanistan (IPIA) is the horrible damages to Allied Forces by ambushing convoys for fuel supply. Such a failure of manual system of defense fleet due to security breaches (under the most advanced surveillance by DRONE aircrafts) has been burgeoning alarms for the joint struggle. In this paper, we analyze the problem and design a new automated fleet maintenance system for a defense organization of the country. We observe during testing phase that minimizing human interactions (i.e. less human resource) in the fleet system makes less prone to information-breach of fleet system. The implementation of our proposed fleet system gives very surprising and economically beneficial reports to the organization. We are confident that our work is applicable to fleet systems of developing countries (allied/ non-allied) in WoT which are sensitive about their biological, mass-destruction command & control systems.


Open Access

Freely Accesible Scientific Literature. Higher Impact. Global Reach.

Find out more
Instructions for Author
Review Policy

The submissions will be peerreviewed by two independent reviewers.
Contact Details

Faculty of Engineering, Sciences and Technology, IQRA University, Defence View, Shaheed-e-Millat Road, Karachi-75500

Phone: + 9221 111 264 264

Fax: + 9221 35894806