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Articles by N. Ismail
Total Records ( 10 ) for N. Ismail
  N.M.Z.N. Mohamed , H.Y. Sastra , S.M. Sapuan , N. Ismail and A.B.A. Hamid
  A study of manpower consideration to reduce development time for new model in automotive industry is presented in this study. The approach taken are by studying the existing practice in car development and suggesting various ways for manpower improvement such as through early involvement and input from manufacturing personnel, the proper job scope structure, proper training to the new staffs to accomplish an important task at the specific timing and clear definition of criteria for a Project Manager’s appointment.
  Adeel H. Suhail , N. Ismail , S. V. Wong and N. A. Abdul Jalil
  Problem statement: In machining operation, the quality of surface finish is an important requirement for many turned workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. Approach: The focus of present experimental study is to optimize the cutting parameters using two performance measures, workpiece surface temperature and surface roughness. Optimal cutting parameters for each performance measure were obtained employing Taguchi techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study the performance characteristics in turning operation. Results: The experimental results showed that the workpiece surface temperature can be sensed and used effectively as an indicator to control the cutting performance and improves the optimization process. Conclusion: Thus, it is possible to increase machine utilization and decrease production cost in an automated manufacturing environment.
  A. Norozi , M.K.A. Ariffin and N. Ismail
  Problem statement: In the area of globalization the degree of competition in the market increased and many companies attempted to manufacture the products efficiently to overcome the challenges faced. Approach: Mixed model assembly line was able to provide continuous flow of material and flexibility with regard to model change. The problem under study attempted to describe the mathematical programming limitation for minimizing the overall make-span and balancing objective for set of parallel lines. Results: A proposed mixed-integer model only able to find the best job sequence in each line to meet the problem objectives for the given number of job allotted to each line. Hence using the proposed mathematical model for large size problem was time consuming and inefficient as so many job allocation values should be checked. This study presented an intelligence based genetic algorithm approach to optimize the considered problem objectives through reducing the problem complexity. A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. Then, it started to find the best sequence of jobs for each line based on the generated population by heuristic algorithm. By this means, intelligence based genetic algorithm only concentrated on those initial populations that produce better solutions instead of probing the entire search space. Conclusion/Recommendations: The results obtained from intelligence based genetic algorithm were used as an initial point for fine-tuning by simulated annealing to increase the quality of solution. In order to check the capability of proposed algorithm, several experimentations on the set of problems were done. As the total objective values in most of problems could not be improved by simulated algorithm, it proved the well performing of proposed intelligence based genetic algorithm in reaching the near optimal solutions.
  N. Ismail , M. Ibrahim , S. Zareen , S.N. Tajuddin , M.H.F. Rahiman and M.N. Taib
  Analysis of the aroma profile of agarwood incense smoke by varying the sampling time is presented in this study. The compound extraction was performed with the implementation of using Gas Chromatography-Flame Ionization Detector (GC-FID), Gas Chromatography-Mass Spectroscopy (GC-MS) and solid phase microextraction (SPME) on commercial, low and high quality agarwood. The extraction is based on agarwood smoke and headspace volatile (vapor) via SPME fibre type DVB-CAR-PDMS under three different sampling 15, 30 and 60 min. The result revealed that the agarwood smoke are made of three major groups, monoterpene hydrocarbon, sesquiterpene hydrocarbon and oxygenated sesquiterpene. The decreasing of chemical compounds composition in several compounds during the extraction showed that sampling time gave effect to the compounds composition. The finding is very significant and it is beneficial for further analysis especially for agarwood grading.
  O. Motlagh , S.H. Tang , N. Ismail and A.R. Ramli
  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.
  T. Nehzati , H. Rashidi Bajgan , N. Ismail and S. Nehzati
  The warehouse layout problem includes assigning several different product types to confident areas of warehouse so that the cost of material handling from docks of the warehouse can be minimized. The layout of a warehouse may need to be modified to accommodate new product lines or to add more flexibility to the warehouse operations. In order to guarantee the success of a project, a detailed planning process should be followed. Concerning above, Decision Support Systems (DSS) are developed to assist company’s personnel (e.g., engineers and decision makers) to modify the arrangement of warehouse layout. Lately, DSS have been affected by new information technologies in design, deployment and implementation. Developing Web-Enabled decision support systems is a comprehensive area under discussion that describes how to build data-driven Web-enabled decision support systems using web programming framework. Availability and easiness of interactions in such a DSS frame inspired us to focus on developing an online warehouse location problem to simply deciding about productions which are always traffic. So that user specifies the area of the warehouse in number of bays, places for docks around the warehouse, gives the frequency of their usage, along providing demands and required area for each product type. Then the problem will be solved quickly to find the proper location of each product type for minimum material handling cost and information would be deposited. We follow these processes through an example in web pages.
  Adeel H. Suhail , N. Ismail , S.V. Wong and N.A. Abdul Jalil
  As manufacturing technology has been moving to the stage of full automation over the years, one of the fundamental requirements is the ability to accurately predict the output performance of machining processes. The focus of present study is to predict surface roughness using the workpiece surface temperature of a turning workpiece with the aid of an infrared temperature sensor. Relationship between the workpiece surface temperature and the cutting parameters and also between the surface roughness and cutting parameters were found out for indirect measurement of surface roughness through the surface temperature of the workpiece. A 33 full factorial design was used in order to get the output data uniformly distributed all over the ranges of the input parameters. Response Surface Method (RSM) and analysis of variance (ANOVA) are used to get the relation between different response variables (Surface roughness and workpiece surface temperature) and the input parameters (speed, feed and depth of cut). Based on variance analysis for the second order RSM model, most influential design variable is feed rate and depth of cut on surface roughness and workpiece surface temperature respectively and the experimental results show that the workpiece surface temperature can be sensed and used effectively as an indicator of the cutting performance.
  S.C. Ng , N. Ismail , Aidy Ali , Barkawi Sahari and J.M. Yusof
  Ultrasonic NDE has been a well known approach to investigate material’s microstructures, mechanical properties and structure integrity in industry. The internal structure of a material and position of anomalies can be recognised by the reactions of different materials to ultrasound. However, the interpretation of ultrasound signals is difficult in composite material inspection task due to the fact that the ultrasonic pulse is reflected not only by the defect occurred within the material but the microstructures and multiple lay ups of the material. This phenomenon causes the backscattering noise to hinder the real defect’s signal during the inspection. Backscattering noise exists in multiple frequencies. The objective of this study was to develop a new noise reduction method to enhance the defect detectability in coarse-grained structure material such as composites materials. This method increases Signal-to-noise Ratio (SNR) by means of decomposing the original signal into multiresolution representations. To prevent the loss of information, the signal is processed in both temporal and frequency domain. The proposed method has been tested on simulated signal and Glass Fiber Reinforced Plastics (GFRP) laminates. Both simulation and experimental results showed that this method can significantly reduce grain noise while preserving the resolution of the original signal of the defect.
  C.F. Tan , N. Ismail , S.S.S. Ranjit and V.K. Kher
  This study presents the development of a knowledge-based features recognition system for mechanical parts. The main aim of the research was to concentrate on recognition of rotational features, namely, blind hole, through hole and slanting hole to be used in automatic process planning system. The rule-based technique was applied to recognize rotational features. The recognition criteria were based upon geometrical data from Standard for Exchange of Product data file (STEP) of Computer-aided Design (CAD) system. The system consists of several modules, namely, pre-processing module, inference engine module and user interface module. The developed system succeeds the design activities in manufacturing industries.
  J.J. Jolly , S.K. Dzulkiply , M.A. Yusof , N.A. Kamaruding and N. Ismail
  Background and Objectives: Hemocyanin Subunit IIIA is believed to possess antimicrobial properties, but its efficacy against microbial pathogens is still unclarified. Thus, this study aimed to determine antimicrobial activities of hemocyanin subunit IIIA and to identify the best activator of this protein. Materials and Methods: The hemocyanin was partially purified using spin column affinity, its fraction was applied to Hi-Prep Sephacryl Exclusion 26/60 2-200 HR column, followed by Hi-Prep 26/10 Desalting Column on fast protein liquid chromatography. The purity of hemocyanin was validated by Matrix Assisted Laser Desorption Ionization-Time of Flight/Mass Spectrometry. The antimicrobial activity was performed by Disc Diffusion Test. Results: Purified hemocyanin subunit IIIA was identified to have a molecular weight of 72.9 kDa. SDS was found to be the best activator of hemocyanin, as indicated by elevated level of phenoloxidase. As for antimicrobial activity, hemocyanin was minimally inhibited by all bacteria strains tested (Escherichia coli, Staphylococcus aureus and Klebsiella pneumoniae), with relatively lower Minimum Inhibitory Concentration (MIC) at 0.005 g mL1, than recorded MIC for fungal test strains. Two fungal strains (Penicillium sp. and A. niger) show susceptible response to phenoloxidase using MgSO4 as inducer. Whereas, lysate-treated CaCl2 induced susceptibility only to A. niger. Conclusion: Hemocyanin shows better antimicrobial activity than phenoloxidase because of its broad-spectrum activity against bacterial and fungal strains tested. Hence, the hemocyanin may potentially become a new antimicrobial candidate to be discovered for a future use in treatment of resistant bacteria.
 
 
 
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