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Search Results: 1 - 10 of 7050 matches for " Muhammad Zulfadhlizam Ghazali "
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An Empirical Study of the Relationship Between Assignment Practices in Training Programs and Training Motivation
Nurhana M. Rafiuddin,Azman Ismail,Muhammad Zulfadhlizam Ghazali,Yusof Ismail,Mohd Hasbullah B. Mohamad Faudzi,Mohd Mursyid Arshad
The Social Sciences , 2013, DOI: 10.3923/sscience.2012.575.581
Abstract: The purpose of this study was to measure the relationship between training assignment and training motivation using self-report questionnaires collected from cadet officers in a military training academy, Malaysia. The outcomes of testing hypothesis using a stepwise regression analysis showed two important findings; firstly, mandatory assignment is significantly correlated with training motivation. Secondly, voluntary assignment is also significantly correlated with training motivation. This result demonstrates that training assignment practices act as important predictors of training motivation in the studied organization. In addition, this study elaborates discussion, implications and conclusion.
Offline handwritten signature identification using adaptive window positioning techniques
Ghazali Sulong,Anwar Yahy Ebrahim,Muhammad Jehanzeb
Computer Science , 2014,
Abstract: The paper presents to address this challenge, we have proposed the use of Adaptive Window Positioning technique which focuses on not just the meaning of the handwritten signature but also on the individuality of the writer. This innovative technique divides the handwritten signature into 13 small windows of size nxn(13x13).This size should be large enough to contain ample information about the style of the author and small enough to ensure a good identification performance.The process was tested with a GPDS data set containing 4870 signature samples from 90 different writers by comparing the robust features of the test signature with that of the user signature using an appropriate classifier. Experimental results reveal that adaptive window positioning technique proved to be the efficient and reliable method for accurate signature feature extraction for the identification of offline handwritten signatures.The contribution of this technique can be used to detect signatures signed under emotional duress.
Enhanced Skin Colour Classifier Using RGB Ratio Model
Ghazali Osman,Muhammad Suzuri Hitam,Mohd Nasir Ismail
International Journal on Soft Computing , 2012,
Abstract: Skin colour detection is frequently been used for searching people, face detection, pornographic filteringand hand tracking. The presence of skin or non-skin in digital image can be determined by manipulatingpixels’ colour and/or pixels’ texture. The main problem in skin colour detection is to represent the skincolour distribution model that is invariant or least sensitive to changes in illumination condition. Anotherproblem comes from the fact that many objects in the real world may possess almost similar skin-tonecolour such as wood, leather, skin-coloured clothing, hair and sand. Moreover, skin colour is differentbetween races and can be different from a person to another, even with people of the same ethnicity.Finally, skin colour will appear a little different when different types of camera are used to capture theobject or scene. The objective in this study is to develop a skin colour classifier based on pixel-based usingRGB ratio model. The RGB ratio model is a newly proposed method that belongs under the category of anexplicitly defined skin region model. This skin classifier was tested with SIdb dataset and two benchmarkdatasets; UChile and TDSD datasets to measure classifier performance. The performance of skin classifierwas measured based on true positive (TF) and false positive (FP) indicator. This newly proposed modelwas compared with Kovac, Saleh and Swift models. The experimental results showed that the RGB ratiomodel outperformed all the other models in term of detection rate. The RGB ratio model is able to reduceFP detection that caused by reddish objects colour as well as be able to detect darkened skin and skincovered by shadow
Do Producer Prices Cause Consumer Prices? Some Empirical Evidence
Mohd Fahmi Ghazali,Ooi Ai Yee,Mohd Zulkifli Muhammad
International Journal of Business and Management , 2009, DOI: 10.5539/ijbm.v3n11p78
Abstract: The main purpose of this paper is to examine the relationship between consumer price index (CPI) and producer price index (PPI) in Malaysia. This research considers monthly data of consumer price index and producer price index from January 1986 to April 2007. The Johansen cointegration method suggests that there is long-run equilibrium relationship between these two variables. Both Engle Granger and Toda-Yamamoto causality tests find that there is uni-directional causality running from PPI to CPI.
THE DYNAMICS OF ENTREPRENEURIAL MOTIVATION AMONG WOMEN: A COMPARATIVE STUDY OF BUSINESSWOMEN IN SAUDI ARABIA AND BAHRAIN
Muhammad A. Sadi,Basheer M. Al-Ghazali
Asian Academy of Management Journal , 2012,
Abstract: This study explores the underlying dynamics of motivation for women entrepreneurs in Saudi Arabia and Bahrain, using t-test and ANOVA analyses. Various distinct motivational factors were found in both countries. Self-achievement was the most prominent factor motivating Saudi women to start their own businesses. However, for Bahraini women, the profit motive was the most prominent motivational factor.
Enhanced skin colour classifier using RGB Ratio model
Ghazali Osman,Muhammad Suzuri Hitam,Mohd Nasir Ismail
Computer Science , 2012,
Abstract: Skin colour detection is frequently been used for searching people, face detection, pornographic filtering and hand tracking. The presence of skin or non-skin in digital image can be determined by manipulating pixels colour or pixels texture. The main problem in skin colour detection is to represent the skin colour distribution model that is invariant or least sensitive to changes in illumination condition. Another problem comes from the fact that many objects in the real world may possess almost similar skin-tone colour such as wood, leather, skin-coloured clothing, hair and sand. Moreover, skin colour is different between races and can be different from a person to another, even with people of the same ethnicity. Finally, skin colour will appear a little different when different types of camera are used to capture the object or scene. The objective in this study is to develop a skin colour classifier based on pixel-based using RGB ratio model. The RGB ratio model is a newly proposed method that belongs under the category of an explicitly defined skin region model. This skin classifier was tested with SIdb dataset and two benchmark datasets; UChile and TDSD datasets to measure classifier performance. The performance of skin classifier was measured based on true positive (TF) and false positive (FP) indicator. This newly proposed model was compared with Kovac, Saleh and Swift models. The experimental results showed that the RGB ratio model outperformed all the other models in term of detection rate. The RGB ratio model is able to reduce FP detection that caused by reddish objects colour as well as be able to detect darkened skin and skin covered by shadow.
Effect of electron beam irradiation on physicochemical properties of sago starch
Benchamaporn Pimpa,Sharifah Kharidah Syed Muhammad,Muhammad Ali Hassan,Zulkafli Ghazali
Songklanakarin Journal of Science and Technology , 2007,
Abstract: The effect of electron beam irradiation on sago starch was determined in terms of physicochemical properties. The irradiation dose employed was in the range of 10 to 30 kGy. Peak viscosity was decreasedwhen the irradiation dose was increased. The gel strength was found to be increased when the sago starch was irradiated at 10 to 15 kGy, thereafter, the value was decreased. Solubility was increased while swellingpower was decreased. Redness, yellowness and free acidity were increased. Intrinsic viscosity, molecular weight and degree of polymerization were also decreased when the irradiation dose was increased.
Linkage between Money and Prices: A Causality Analysis for Malaysia
Mohd Fahmi Ghazali,Hanudin Amin,Mohd Zulkifli Muhammad,Siti Hajar Samsu
International Business Research , 2009, DOI: 10.5539/ibr.v1n4p82
Abstract: The main purpose of this paper is to examine the relationship between money and prices in Malaysia. This research considers monthly data of money supply M1, M2 and M3 and consumer price index (CPI) from January 1974 to September 2006. The Johansen cointegration method suggests that there is a long-run equilibrium relationship between money supply with prices. Toda-Yamamoto causality tests find that there is uni-directional causality running from money supply to CPI. Therefore, the empirical evidence from Malaysia supports the quantity theorist’s view.
Anti- and Pro-Lipase Activity of Selected Medicinal, Herbal and Aquatic Plants, and Structure Elucidation of an Anti-Lipase Compound
Muhammad Abubakar Ado,Faridah Abas,Abdulkarim Sabo Mohammed,Hasanah M. Ghazali
Molecules , 2013, DOI: 10.3390/molecules181214651
Abstract: Plants that help in slowing down the digestion of triacylglycerols (TAGs) in the pancreas and small intestine of humans play an important role in the reduction of obesity. On the other hand, there may be plants or plant parts that stimulate intestinal lipolytic activity, thus contributing to greater TAG assimilation. The aim of this study was to evaluate the aqueous methanolic extracts of ninety eight (98) medicinal, herbal and aquatic plant materials from Malaysia for their effect on porcine pancreatic lipase (PPL) activity and to identify the structure of an anti-lipase compound from one of the sources. The degree of inhibition was also quantified as relative to orlistat activity against PPL (orlistat equivalents). Results revealed that while 19.4% of the extracts were found to have anti-lipase activity ≥80%, 12% were actually found to promote PPL activity. Twenty two percent (22.4%) exhibited moderate inhibition (41%–80%) and 2% were neutral toward PPL activity. The ripe fruit of Averrhoa carambola and the leaves of Archidendron jiringa (Jack) I.C Nielsen L. ( jering), Cynometra cauliflora ( nam-nam) and Aleurites moluccana (L.) Willd (candle nut/ buah keras) had the highest (100%) anti-lipase activity and are equivalent to 0.11 μg orlistat/mL. Plants that stimulated lipase activity included Pimpinella anisum L. (aniseed/ jintan manis), activating the enzyme by 186.5%. Kaempferol 3- O-rhamnoside was isolated from the ethyl acetate fraction of C. cauliflora leaves and found to be an active lipase inhibitor. The structure was elucidated using 1H-NMR, 13C-NMR and 2D-NMR analyses.
Seismic Evaluation of Reinforced Concrete Frames in the Harsh Environment Using Pushover Analysis  [PDF]
Mohamed Sobaih, Ahmed Al Ghazali
Open Journal of Civil Engineering (OJCE) , 2016, DOI: 10.4236/ojce.2016.64055
Abstract: The main objective of this paper is to evaluate the seismic response of buildings of typical reinforced concrete frames when concrete starts to deteriorate gradually and to make a comparison between the base shear and the displacement at different stages of earthquake loading. Typical 5, 15, 20 and 30-storey reinforced concrete frames have been designed for seismicity according to the recently adopted seismic code in Abu Dhabi, ACI 318-08/IBC 2009 code. A pushover analysis has been performed to these four buildings by using SAP 2000. Twenty-four models have been created (6 models for each building) by decreasing the concrete strength gradually from 4000 psi (281 kg/cm2) to 1500 psi (105 kg/cm2). This is to simulate the effect of harsh environment on the strength of concrete in existing buildings.
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