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Search Results: 1 - 10 of 601639 matches for " A.R. Ramli "
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Intelligent Identification System for Tilt Computation Using Low-cost Inertial Sensors
A. Mudheher Hasan,K. Samsudin,A.R. Ramli
Journal of Artificial Intelligence , 2012,
Abstract: Attitude computed using raw gyro measurements through the INS algorithm suffer from unrestricted error escalation during INS-stand alone phase when utilizing low cost IMU sensors without aiding from other sensors. Hence, an intelligent vehicle dynamic identification system is produced in this study to identify the vehicle status and fuse data from multiple low cost gyroscopes and accelerometers to estimate precise tilt angles and reduce the accumulated error through utilizing the corresponding motion characteristics of the accelerometers and gyroscopes. The results obtained using a real field test data shows clearly a significant reduction in tilt error during stand alone INS.
Wavelet-based Pre-filtering for Low Cost Inertial Sensors
A.M. Hasan,K. Samsudin,A.R. Ramli,R.S. Azmir
Journal of Applied Sciences , 2010,
Abstract: This study proposed to de-noise the IMU signal by effectively band-limiting the signal at the output of each inertial measurement sensor prior to its mechanization and further processing by the Strapdown INS (SDINS) algorithm. Wavelet Multi-Resolution Algorithm (WMRA) is utilized to improve the performance of the inertial sensors by removing their short term noise. The aim of this study is to reveal how WMRA is utilized to improve the performance of the inertial measurement unit systems and investigate how wavelet analysis can be used to analyse and de-noise output of the low-cost inertial sensors. The proposed multi-level decomposition was applied to real accelerometer and gyroscopes data obtained from MEMS IMU (MotionPak II). Different level of decomposition and thresholding filter was evaluated to obtain optimal results. Analysis of the results demonstrate reducing the INS position and velocity error for the specific IMU.
Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
N. Ismail,F. Musharavati,A.S.M. Hamouda,A.R. Ramli
Journal of Achievements in Materials and Manufacturing Engineering , 2008,
Abstract: Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the criticalissues mentioned above for the purpose of manufacturing process planning in reconfigurable manufacturingactivities. Two modified genetic algorithms are devised and employed to provide the best approximate processplanning solution. Modifications included adapting genetic operators to the problem specific knowledge andimplementing application specific heuristics to enhance the search efficiency.Design/methodology/approach: The genetic algorithm methodology implements a genetic algorithmthat is augmented by application specific heuristics in order to guide the search for an optimal solution.The case study is based on the manufacturing system. Raw materials enter the system through an input stageand exit the system through an output stage. The system is composed of sixteen (16) processing modulesthat are arranged in four processing stages.Findings: The results indicate that the two genetic algorithms are able to converge to optimal solutionsin reasonable time. A computational study shows that improved solutions can be obtained by implementinga genetic algorithm with an extended diversity control mechanism.Research limitations/implications: This paper has examined the issues of MPP optimization in a reconfigurablemanufacturing framework with the help of a reconfigurable multiparts manufacturing flow line.Originality/value: The results of the case illustration have demonstrated the practical use of diversity controlimplemented in the MGATO technique. In comparison to MGAWTO, the implemented MGATO improves thepopulation diversity through a customized threshold operator. It was clear that the MGATO can obtain bettersolution quality by foiling the tendency towards premature convergence.
MOTION MODELLINGUSINGCONCEPTS OF FUZZY ARTIFICIAL POTENTIAL FIELDS
O. Motlagh,A.R. Ramli,S.H. Tang,F. Motlagh
International Journal of Automotive and Mechanical Engineering , 2010,
Abstract: Artificial potential fields (APF) are well established for reactive navigation of mobile robots. This paper describes a fast and robust fuzzy-APF on an ActivMedia AmigoBot. Obstacle-related information is fuzzified by using sensory fusion, which results in a shorter runtime. In addition, the membership functions of obstacle direction and range have been merged into one function, obtaining a smaller block of rules. The system is tested in virtual environments with non-concave obstacles. Then, the paper describes a new approach to motion modelling where the motion of intelligent travellers is modelled by consecutive path segments. In previous work, the authors described a reliable motion modelling technique using causal inference of fuzzy cognitive maps (FCM) which has been efficiently modified for the purpose of this contribution. Results and analysis are given to demonstrate the efficiency and accuracy of the proposed motion modelling algorithm.
A New Fuzzy Approach for Dynamic Load Balancing Algorithm
Abbas Karimi,Faraneh Zarafshan,Adznan b. Jantan,A.R. Ramli
International Journal of Computer Science and Information Security , 2009,
Abstract: Load balancing is the process of improving the Performance of a parallel and distributed system through is distribution of load among the processors [1-2]. Most of the previous work in load balancing and distributed decision making in general, do not effectively take into account the uncertainty and inconsistency in state information but in fuzzy logic, we have advantage of using crisps inputs. In this paper,we present a new approach for implementing dynamic load balancing algorithm with fuzzy logic, which can face to uncertainty and inconsistency of previous algorithms, further more our algorithm shows better response time than round robin and randomize algorithm respectively 30.84% and 45.45%.
A Review on Positioning Techniques and Technologies: A Novel AI Approach
O. Motlagh,S.H. Tang,N. Ismail,A.R. Ramli
Journal of Applied Sciences , 2009,
Abstract: There are variety of positioning techniques applied to tracking of mobile objects such as mobile robots, handheld devices carried by human subject, etc. With the advent of new technologies, new strategies have emerged from combination of algorithms and those technical capabilities. This study is dedicated to a review of past and current approaches to positioning, including their advantages and shortcomings. More focus is given on trilateral radiolocation especially for indoor human motion tracking. A solution is sought to resolve the problem of algorithm failure with applicability to all areas of positioning and tracking including trilateration when less than three reference points are available.
Post-Aneurysmal Subarachnoid Hemorrhage Vasospasm, Clinical Correlation between the Aneurysm Site and Clinical Vasospasm  [PDF]
Ahmed Ali, Mohamed A.R. Soliman
Open Journal of Modern Neurosurgery (OJMN) , 2018, DOI: 10.4236/ojmn.2018.83025
Abstract: Background: Intracranial vasospasm is a common complication following subarachnoid hemorrhage (SAH). The radiographic vasospasm can reach up to 90% of aneurysmal SAH. Materials and Methods: 139 consecutive patients admitted to Cairo University Hospitals from June 2013 to September 2014 with SAH who had been enrolled in a retrospective controlled study were analyzed retrospectively for the occurrence of vasospasm. The data collected from the charts of Cairo University Hospitals were the patient’s demographics, clinical presentation, aneurysm location, treatment modality, and Glasgow Outcome Scale (GOS) scores. We excluded 24 patients with nonaneurysmal SAH, 3 internal carotid artery (ICA) aneurysms, 7 with multiple aneurysms and 4 patients died before treatment. Results: 72 males and 29 females were included in the study, mean age 53.5 ± 11.5 years. Twelve patients had aneurysms located in the vertebral artery group, 24 had middle cerebral artery aneurysms, 11 had pericallosal aneurysms, and 54 patients had anterior communicating artery (ACoA) complex aneurysms. Radiographic vasospasm occurred in 62.4% with the highest incidence (75.9%) at the ACoA complex group. Symptomatic vasospasm occurred in 48.5% with the highest incidence (63%) at the anterior communicating artery complex aneurysm location. The mean GOS at 6 months follow-up was 4.2. The worse GOS was found in the vertebral artery (VA) aneurysm group with a mean of 3.75. Conclusion: Aneurysms of the anterior communicating artery complex group have a greater risk of both radiographic and clinical vasospasm. Also, the worse 6 months follow-up GOS when an aneurysm was located in the VA group.
The linear ordering problem: an algorithm for the optimal solution
A.R Mushi
African Journal of Science and Technology , 2005,
Abstract: In this paper we describe and implement an algorithm for the exact solution of the Linear Ordering problem. Linear Ordering is the problem of finding a linear order of the nodes of a graph such that the sum of the weights which are consistent with this order is as large as possible. It is an NP - Hard combinatorial optimisation problem with a large number of applications, including triangulation of input - output matrices in Economics, aggregation of individual preferences and ordering of teams in sports. We implement an algorithm for the exact solution using cutting plane and branch and bound procedures. The program developed is then applied to the triangulation problem for the input - output tables. We have been able to triangulate input - output matrices of size up to 41 x 41.
Tabu search heuristic for university course timetabling problem
A.R Mushi
African Journal of Science and Technology , 2006,
Abstract: In this study we have addressed the NP-Hard problem of academic course timetabling. This is the problem of assigning resources such as lecturers, rooms and courses to a fixed time period normally a week, while satisfying a number of problem-specific constraints. This paper describes a Tabu Search algorithm that creates timetables by heuristically minimizing penalties over infeasibilities. The algorithm is developed with special focus on the University of Dar-assalaam and compares the results with a previous manually generated timetable. It has been found that, the Tabu Search technique gives better results given a careful selection of parameters.
Resource Use Efficiency in Yam Production in Ondo State, Nigeria
Fasasi A.R.
Agricultural Journal , 2013,
Abstract: This study delve through the resource-use efficiency in yam production among randomly selected sample of 150 yam producers in 5(out of 18) purposively selected Local Government Areas (L.G.As) in Ondo State, Nigeria. The production function analysis revealed inefficiency in the use of land, hired labour, family labour and investment on seed yam. The Marginal Value of Products (M.V.Ps) for inputs used in production were N97, 804 per hectare, N3, 349 for hired labour, N122: 50 for family labour and N156:10 for seed yam (for additional unit of input).Also the M.V.P of the inputs were higher than the corresponding Marginal Factor Costs (M.F.Cs), signifying input under-utilization. In this connection, an increase in allocation of land, hired labour, family labour and investment on seed yam will surely raise the output of yam. Also there is need for improved dissemination of information on Miniset-technique of raising seed yam.
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