Norazman Arbin

Assessing the responses of physical parameters in ocean via statistical approach

It is essential to assess a physical parameter in response to the changes in other physical parameter. Exploration on the type of relationship between two physical parameters depends on models and expert view due to the complexity of the ecosystems. These need validation with actual data over a certain periods. Innovative statistical approaches, particularly the nonparametric regression is presented to investigate the ecological relationships. These are achieved by demonstrating the features of salinity, conductivity and temperature at a sampling point in Selat Tebrau. Observed data monitored for 10 years from 2004–2013 are examined. Testing for no-effect and linearity for salinity and temperature; log conductivity and temperature, and log conductivity and salinity, with the ecological objectives of investigating the evidence of changes in each of the above physical parameter. The results show the appropriateness of smooth function to explain the variation of salinity in response to the changes in tempera...

The Impact of Time Management on Students’ Academic Achievement

Time management is very important and it may actually affect individuals overall performance and achievements. Students nowadays always commented that they do not have enough time to complete all the tasks assigned to them. In addition, a university environments flexibility and freedom can derail students who have not mastered time management skills. Therefore, the aim of this study is to determine the relationship between the time management and academic achievement of the students. The factor analysis result showed three main factors associated with time management which can be classified as time planning, time attitudes and time wasting. The result also indicated that gender and races of students show no significant differences in time management behaviours. While year of study and faculty of students reveal the significant differences in the time management behaviours. Meanwhile, all the time management behaviours are significantly positively related to academic achievement of students although the relationship is weak. Time planning is the most significant correlated predictor.

Forecasting of Water Consumptions Expenditure Using Holt-Winter’s and ARIMA

This study is carried out to forecast water consumption expenditure of Malaysian university specifically at University Tun Hussein Onn Malaysia (UTHM). The proposed Holt- Winter’s and Auto-Regressive Integrated Moving Average (ARIMA) models were applied to forecast the water consumption expenditure in Ringgit Malaysia from year 2006 until year 2014. The two models were compared and performance measurement of the Mean Absolute Percentage Error (MAPE) and Mean Absolute Deviation (MAD) were used. It is found that ARIMA model showed better results regarding the accuracy of forecast with lower values of MAPE and MAD. Analysis showed that ARIMA (2,1,4) model provided a reasonable forecasting tool for university campus water usage.

MALAYSIAN MENU PLANNING MODEL USING SELF-ADAPTIVE HYBRID GENETIC ALGORITHM (SHGA)

The aim of this research is to propose a self-adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. We developed Malaysian menu planning model with the objectives to optimize the budget allocation for each student, maximize the variety of daily meals, maximize the caterer’s ability, accomplish meals course structures and fulfill the standard recommended nutrient intake (RNI). Two new novel local searches are introduced in this study that combined the insertion search (IS) and insertion search with deleteand- create (ISDC) methods. Application of IS itself could not guarantee the production of feasible solutions as it only searches in a small neighborhood area. Thus, ISDC is proposed to enhance the search towards a large neighborhood area and the results indicated that the proposed algorithm is able to produce 100% feasible solutions with the best fitness value. Besides that, the application of self-adaptive probability for mutation is significantly minimizing computational time taken to generate the good solutions in just few minutes. Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme.

Descriptive statistics with Box-Jenkins and marketing research for jewellery company in Malaysia

We develop and demonstrate a methodology for Chinese Jewellery companies for raising their sales and promoting the quality of their products and services. A questionnaire form is used for company’s sale report, and also to identify the customer satisfaction towards the shop. The data that we got from questionnaire form was analyzed using descriptive statistics. The forecast value for daily market price of gold deviates from the actual value due to unpredictable factors such as politic and economy issues, the 916 gold has higher sales at the peak season like festival during which there is some weakness in their products and services.

On linear and oblong leaves shape model

The aim of this paper is to develop and represent the overall linear and oblong leaves shape model for a given botanical textual description. For this purpose, the B-spline generative shape method (GSM) was used where the tip, side and the base of the linear and oblong leaves were assembled. Using the GSM and the leaf shape synthesis system, the tip and the base will be automatically generated preserving C2 continuity to ensure a reasonable shape in proportion. Expert botanists were referred to assess the drawing results. The findings show that the use of GSM produced good result except for some cases where the drawing produced minor visual error. As a conclusion, the GSM is a very practical way to model the linear and the oblong leaf shape. As the implication, both the GSM and the system allow the botanists to readily see a picture which might have been hard to visualize before.

A COMPARATIVE STUDY FOR SOLVING NON-CLASSICAL OPTIMAL CONTROL PROBLEM USING EULER, RUNGE-KUTTA AND SHOOTING METHODS

A current optimal control problem has the numerical properties that do not fall into the standard optimal control problem detailing. In our concern, the state incentive at the final time, y(T ) = z, is free and obscure, and furthermore, the integrand is a piecewise consistent capacity of the obscure esteem y(T ). This is not a standard optimal control problem and cannot be settled utilizing Pontryagin’s minimum principle with the standard limit conditions at the final time. In the standard issue, a free final state y(T ) yields an important limit condition p(T ) = 0, where p(t) is the costate. Since the integrand is a component of y(T ), the new fundamental condition is that y(T ) yields to be equivalent to a necessary consistent capacity of z. We tackle a case utilizing a C++ shooting method with Newton emphasis for tackling the two point boundary value problem (TPBVP). The limiting free y(T ) value is computed in an external circle emphasis through the golden section method. Comparative nonlinear programming through Euler and Runge-Kutta is also presented.

DEVELOPMENT OF OVATE AND LANCEOLATE LEAF SHAPE MODEL USING B-SPLINE GENERATIVE SHAPE METHOD

The aim of this paper is to develop an overall ovate and lanceolate leaf shape model based on the botanical textual description. For this purpose, the B-spline generative shape method (GSM) has been used. The idea is to assemble the tip, side and base of such leaves. For a given side’s geometry, the tip and the base are produced by using the GSM and the leaf shape synthesis system. Expert botanist is referred to assess the drawing results to ensure that the result is in conformity with botanical point of view. The findings show that the use of GSM produced good result except for some minor visual errors. In conclusion, the GSM is practical to model these leaves. The implication is the developed model enables botanists to check whether the textual written descriptions in the botanical text are correct and useful as an aid to determine whether botanists use terminology consistently.

Perception on mathematics teachers’ quality of teaching between all boys secondary schools and all girls secondary schools

This survey research was designed to identify the secondary mathematics teachers’ quality of teaching. Specifically, this study focused on students’ perception, based on genders on the quality of teaching of their secondary mathematics teachers and, its relationship with the former’s mathematics achievement. This research was carried in four different schools: two all boys’ secondary schools and two all girls’ secondary schools. Thus, a comparison between these two types of schools was made. The sample of the study involved 100 form four students from those schools. The result showed that the students from those schools had positive perception on their teachers’ quality of teaching. Statistically, there was no difference between the boys’ and girls’ perceptions. There was a significant relationship between the boys’ perception on the quality of their teachers’ teaching and the boys’ achievement. However, there was no significant relationship between the girls’ perceptions on the quality of their teachers’...

A theorem for improving kernel based fuzzy c-means clustering algorithm convergence

The convergence of the Kernel-Based Fuzzy C-means clustering algorithm (KFCM) was established by applying the Zangwill’s convergence theorem. The result shows that when the distance matrix induced by kernel function satisfies the given conditions. The iteration sequence produced by the KFCM algorithm terminates at a local minimum or a saddle point or at worst contains a subsequence which terminates at a local minimum or saddle point of the objective function of the KFCM clustering mode1.