Bengkel netwon usaha tambah baik kualiti hidup Orang Asli belum

GRIK (BELUM) – Kumpulan Kejuruteraan Air, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Putra Malaysia (UPM) menganjurkan bengkel mengenalpasti masalah Orang Asli di Kampung Sungai Kejar dan Kampung Sungai Tiang, Hutan Belum, Perak

Study on A.C properties of tin selenidethin films

A.c properties of tin selenide thin films prepared by an encapsulated selenization method are investigated. The measurements obtained from al/snse/al sandwich structures showed strong indication of frequency and temperature dependence of capacitance, dielectric loss and conductance over the ranges of 5-200 khz and 228-373 k, respectively. Dielectric behaviour was expected to be due to space charge polarization which contributed to a.c conduction. This was generally explained in terms of hopping of the charge carriers between localized states with activation energies 0.03-0.08 ev. Parameters such as trap binding energy (0.94 ev) and minimum hopping distance (1.01 nm) were also predicte

Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-FDV) method for moving boundary problems

Flowfield Dependent Variation (FDV) method is a mixed explicit-implicit numerical scheme that was originally developed to solve complex flow problems through the use of so-called implicitness parameters. These parameters determine the implicitness of FDV method by evaluating local gradients of physical flow parameters, hence vary across the computational domain. The method has been used successfully in solving wide range of flow problems. However it has only been applied to problems where the objects or obstacles are static relative to the flow. Since FDV method has been proved to be able to solve many complex flow problems, there is a need to extend FDV method into the application of moving boundary problems where an object experiences motion and deformation in the flow. With the main objective to develop a robust numerical scheme that is applicable for wide range of flow problems involving moving boundaries, in this study, FDV method was combined with a body interpolation technique called Arbitrary Lagrangian-Eulerian (ALE) method. The ALE method is a technique that combines Lagrangian and Eulerian descriptions of a continuum in one numerical scheme, which then enables a computational mesh to follow the moving structures in an arbitrary movement while the fluid is still seen in a Eulerian manner. The new scheme, which is named as ALE-FDV method, is formulated using finite volume method in order to give flexibility in dealing with complicated geometries and freedom of choice of either structured or unstructured mesh. The method is found to be conditionally stable because its stability is dependent on the FDV parameters. The formulation yields a sparse matrix that can be solved by using any iterative algorithm. Several benchmark stationary and moving body problems in one, two and three-dimensional inviscid and viscous flows have been selected to validate the method. Good agreement with available experimental and numerical results from the published literature has been obtained. This shows that the ALE-FDV has great potential for solving a wide range of complex flow problems involving moving bodies

Growth parameters of InAs/GaAs quantum dots grown by MOVPE

Quantum dots are zero dimensional structures and therefore have superior transport and optical properties compared to either 2-dimensional or 3-dimensional structures. Quantum dots show promise for use in diode lasers, amplifiers, and biological sensors. They are also vigorously researched for use in solid-state quantum computing. Indium arsenide quantum dots are currently studied for their use in the photoelectronic and semiconductor fields. In our research, Indium Arsenide (InAs) quantum dots are grown on Gallium Arsenide (GaAs) substrate using Metal Organic Vapor Phase Epitaxy (MOVPE) in the Stranski-Krastanov Growth mode. Several parameters influence the growth of InAs quantum dots greatly. We will be describing these growth parameters, which we have identified in our current growth attempts. We are currently trying to achieve device quality InAs/GaAs quantum dots by varying these parameters we have identified. These growth parameters include the V/III ratio of both InAs and GaAs, In/As growth temperature, and quantum dot growth time. By carefully fine tuning the parameters above, we will be able to grow device quality quantum dots. Deviations from the optimized value will result in either no formation of quantum dots, or the formation of large islands which are particularly susceptible to dislocations. The effects of differing growth parameters are observed by using an Atomic Force Microscope (AFM) located at Faculty of Science, UTM. The MOVPE is located at Ibn Sina Institute for Fundamental Science Studies, UTM

Elemen kompetensi pengurusan fasiliti bagi ahli perbadanan pengurusan

This research done to study the elements of facility management competence for the members of Management Corporation. According to Strata Titles Act 1985 (Act 318), a member of the Management Corporation is appointed among unit owners and responsible to manage all matters related to their residential buildings. The problem arises when the appointed members of the Management Corporation is among the unit owners which less skilled and experienced in the management of the building. Most of the high-rise residential buildings are having very low levels of management and often get complaints from residents. Various studies have been conducted on competency management. However, the study of facility management competency among the members of Management Corporation has not yet done. The objective of this study were 1) to identify the facilities management functions needed in managing strata building, 2) identify the competencies of facilities management that should be included in the Management Corporation, and 3) identify the most important competencies for facility management to be mastered by the members of Management Corporation . Data for this study were collected through a literature review and questionnaire. All elements of facility management competencies should be applied to the members of Management Corporation so that activities run smoothly and residents will live in secure and peac

Family Ownership, Firm’s Financial Characteristics and Capital Structure: Evidence from Public Listed Companies in Malaysia

Capital structure is identified as one of focal facet in corporate finance branch of learning. It provides comprehension on how firms choose to finance their operations and expansion. The objective of this study is to explore the determinants of capital structure of Malaysian public listed companies. The period of 2001-2006 was selected in this study, which reflected the post Asian financial crisis period. Firm’s financial characteristics consist of size, growth, profitability, liquidity and ability to service debt. Family ownership which was identified as a unique feature in the Malaysian corporate sector was used to measure the effect of corporate governance in capital structure decision. Using panel data approach, this study infers that the role of ownership structure in the form of family ownership though is not significantly related to capital structure, its inclusion in the empirical equation changes the significance of other variables. Except for growth, all other financial characteristics have significant relationships with capital structure.Public - Capital Structure, Family Ownership, Corporate Finance, Corporate Governance.

Android Based Car Alert System in Alerting Incoming Sharp Corner and Updating Emergency Places via GPS Assistance

Six percent of all deaths in this country are caused by road accident fatalities. This is an alarming fact despite our authorities bragging about the decreased road accident deaths over the past few years and the safety standard of cars has improved dramatically. Global Positioning System (GPS) to be one of the alternatives that could help in decreasing the accidents. Popular GPS system for navigation like Waze, PapaGo implemented some of the features which give warning if the car exceeding speed limit in long straight road. Hence, these existing systems are provide alternatives to reduce the percentage of car accident by giving alert to slow down the car which can prevent the drivers over speed that lead to accidents. To minimize the accidents rate in this country, this project will develop a GPS application which provides “buzz” sound as alertness to tell the drivers that there are dangerous corner ahead. This feature will also come out with the adaptable user-friendliness features according to the context surrounding the drivers in giving the suggestions to the closest emergency places by only refresh the list of the place rather than type the name of the places

The hydrology of the Peruvian Amazon river and its sensitivity to climate change

This PhD thesis explores the utility of a land surface model (Joint UK Land-Environment Simulator, JULES) for large-scale hydrological modelling of the Peruvian Amazon - a humid tropical mountain basin where process understanding is poor and data are scarce. A sparse rain gauge network necessitates the use of large-scale data from satellite and global climate model reanalysis to complement ground observations, commanding a closer look at (1) the uncertainties (2) merging techniques to utilise multiple observations in the model forcing. A main outcome of the research is establishing the model’s sensitivity to precipitation error, and at the same time, demonstrating an increasing reliability of global remote sensing products as model forcing, specifically, with data from the Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis version 7 algorithm. Furthermore, satellite-rain gauge data assimilation techniques such as mean-bias correction, double smoothing residual blending, and Bayesian combination, are shown to reduce the mean errors in the satellite-based product. Secondly, with regional calibration and an offline runoff routing scheme, JULES is shown to be reasonably skillful at reproducing the observed streamflow dynamic and extremes. Representing the subgrid heterogeneity of soil moisture using the probability distributed model (PDM) was key to improving surface runoff generation. However, evapotranspirative fluxes in the lower basin remain poorly reproduced without an adequate floodplain system representation. Finally, under the Intergovernmental Panel for Climate Change’s RCP4.5 future climate scenario, which projects a warming and wetting up to the year 2035, the Peruvian Amazon basin is shown to respond nonlinearly to the increase in wet season precipitation with more than 40% increase in the peak flows compared to the baseline scenario. There is limited confidence in the projections due to climate projections uncertainty and the assumptions of model stationarity.Open Acces

Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-ADV) method for moving boundary problems

Flowfield Dependent Variation (FDV) method is a mixed explicit-implicit numerical scheme that was originally developed to solve complex flow problems through the use of so-called implicitness parameters. These parameters determine the implicitness of FDV method by evaluating local gradients of physical flow parameters, hence vary across the computational domain. The method has been used successfully in solving wide range of flow problems. However it has only been applied to problems where the objects or obstacles are static relative to the flow. Since FDV method has been proved to be able to solve many complex flow problems, there is a need to extend FDV method into the application of moving boundary problems where an object experiences motion and deformation in the flow. With the main objective to develop a robust numerical scheme that is applicable for wide range of flow problems involving moving boundaries, in this study, FDV method was combined with a body interpolation technique called Arbitrary Lagrangian-Eulerian (ALE) method. The ALE method is a technique that combines Lagrangian and Eulerian descriptions of a continuum in one numerical scheme, which then enables a computational mesh to follow the moving structures in an arbitrary movement while the fluid is still seen in a Eulerian manner. The new scheme, which is named as ALE-FDV method, is formulated using finite volume method in order to give flexibility in dealing with complicated geometries and freedom of choice of either structured or unstructured mesh. The method is found to be conditionally stable because its stability is dependent on the FDV parameters. The formulation yields a sparse matrix that can be solved by using any iterative algorithm. Several benchmark stationary and moving body problems in one, two and three-dimensional inviscid and viscous flows have been selected to validate the method. Good agreement with available experimental and numerical results from the published literature has been obtained. This shows that the ALE-FDV has great potential for solving a wide range of complex flow problems involving moving bodies