Universiti Tun Hussein Onn Malaysia is a public university in Batu Pahat, Johor, Malaysia. It was formerly known as Institut Teknologi Tun Hussein Onn and Kolej Universiti Teknologi Tun Hussein Onn . Along with other public university colleges, KUiTTHO was promoted to full university status. The name UTHM was officially launched by the then education minister, Dato' Seri Hishammuddin Bin Tun Hussein. UTHM also a member of Malaysian Technical University Network . Wikipedia.
Fulazzaky M.A.,University Tun Hussein Onn Malaysia
Environmental Monitoring and Assessment | Year: 2010
Water quality degradation in the Citarum river will increase from the year to year due to increasing pollutant loads when released particularly from Bandung region of the upstream areas into the river without treatment. This will be facing the problems on water quality status to use for multi-purposes in the downstream areas. The water quality evaluation system is used to evaluate the available water condition that distinguishes into two categories, i.e., the water quality index (WQI) and water quality aptitude (WQA). The assessment of water quality for the Citarum river from 10 selected stations was found that the WQI situates in the bad category generally and the WQA ranges from the suitable quality for agriculture and livestock watering uses to the unsuitable for biological potential function, drinking water production, and leisure activities and sports in the upstream areas of Saguling dam generally. © 2009 Springer Science+Business Media B.V.
Sulaiman E.,University Tun Hussein Onn Malaysia
2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings | Year: 2012
This paper presents design study of high torque and high power density hybrid excitation flux switching synchronous motor (HEFSSM) as a candidate for traction drives in hybrid electric vehicle (HEV). Firstly, the construction, the basic working principle and the design concept of the proposed HEFSSM are overviewed. Then, under some design restrictions and specifications for the target HEV applications, the initial drive performances of the proposed HEFSSM are evaluated based on 2D-FEA. As the initial motor fails to achieve the target performances, design parameters are set and treated by using deterministic design optimization approach. After several cycles of optimization, the proposed motor makes possible to obtain the target performances of 333Nm torque and 123kW power similar to that used in existing interior permanent magnet synchronous motor (IPMSM) for LEXUS RX400h. © 2012 IEEE.
Stovin V.,University of Sheffield |
Vesuviano G.,University of Sheffield |
Kasmin H.,University Tun Hussein Onn Malaysia
Journal of Hydrology | Year: 2012
This paper presents new rainfall and runoff data from a UK green roof test bed which has been collected almost-continuously over a 29-month period from 01/01/2007 to 31/05/2009. Overall, the monitoring period was fairly typical of the location's long-term climatic averages, although the data set includes some extreme events in June 2007, which were associated with serious flooding locally. To focus on the system's performance under rainfall events likely to be of interest from an urban drainage/stormwater management perspective, return period analysis has been applied to identify those storm events with a rainfall depth in excess of 5. mm and a return period greater than one year. According to these criteria, 22 significant events have been identified, of which 21 have reliable runoff records. Overall the roof provided 50.2% cumulative annual rainfall retention, with a total volumetric retention equivalent to 30% during the significant events. The annual performance figures are towards the lower end of a range of international data, probably reflecting the fact that rainfall depths may be higher and evapotranspiration rates lower than in some more continental climatic settings. The roof's finite retention depth means that the maximum possible retention percentage declines as storm depth increases, and retention varied from between 0 and 20. mm, or 0% to 100%. Although some attenuation and delay of peak runoff is generally observed (mean peak flow reduction of 60% for the 21 significant events), the irregularity of natural rainfall patterns, combined with the variable influence of detention storage in specific events, makes the identification of peak-to-peak lag times difficult and arguably meaningless. Regression analyses have been undertaken to explore the potential to predict the roof's hydrological performance as a function of storm characteristics. However, these are shown to have poor predictive capability, even for the system from which they were derived. Through a detailed examination of data from three contrasting events, it is argued that the inter-event processes are too complex to be captured by this type of modelling approach. Instead, an understanding of the hydrological processes affecting the flux of moisture into and out of the substrate is required to explain the observed runoff response. Locally-derived evapotranspiration rates and the roof's observed maximum retention capacity are utilised to provide pragmatic guidance on the retention performance to be expected in response to selected design events. © 2011 Elsevier B.V.
Chan C.-M.,University Tun Hussein Onn Malaysia
Environmental Earth Sciences | Year: 2014
Ground improvement with soil solidification has been widely applied and has proven to be an effective pre-treatment of soft soil deposits. The solidification procedure usually involves addition and thorough mixing of hydraulic binders with in situ soils, consequently transforming the soft materials into a stronger and stiffer stratum for load bearing. Much has been done on the binder's effectiveness and resulting enhanced properties of the soils, but not as much has been reported of the factors governing in situ mixing efficiency in producing uniform mixtures. While advancement in machinery and computerization of operations have significantly improved soil mixing, individual factors contributing to the process can be further examined to refine the effectiveness. This paper describes a series of laboratory tests, mainly unconfined compressive strength tests complemented with X-ray computer tomography, conducted on cement-stabilized dredged Kawasaki clay of different uniformities. A number of factors affecting uniformity were examined, namely the water/cement (WC) ratios, number of cement layers in the initial state as well as the number of mixing cycles adopted. Test specimens were prepared based on a systematic combination of these factors to enable a comprehensive cross-analysis of the results. It was found that the clay's initial consistency was markedly altered by cement addition, which resulted in either enhanced or reduced workability of the mixture. While increased mixing vigor could apparently overcome poor distribution of binder in the mixture, the resulting strength remained very much affected by the WC ratio, suggesting dependency of the mixture's overall uniformity on a combination of the factors. © 2013 Springer-Verlag Berlin Heidelberg.
Chung Y.Y.,University of Sydney |
Wahid N.,University Tun Hussein Onn Malaysia
Applied Soft Computing Journal | Year: 2012
The network intrusion detection techniques are important to prevent our systems and networks from malicious behaviors. However, traditional network intrusion prevention such as firewalls, user authentication and data encryption have failed to completely protect networks and systems from the increasing and sophisticated attacks and malwares. In this paper, we propose a new hybrid intrusion detection system by using intelligent dynamic swarm based rough set (IDS-RS) for feature selection and simplified swarm optimization for intrusion data classification. IDS-RS is proposed to select the most relevant features that can represent the pattern of the network traffic. In order to improve the performance of SSO classifier, a new weighted local search (WLS) strategy incorporated in SSO is proposed. The purpose of this new local search strategy is to discover the better solution from the neighborhood of the current solution produced by SSO. The performance of the proposed hybrid system on KDDCup 99 dataset has been evaluated by comparing it with the standard particle swarm optimization (PSO) and two other most popular benchmark classifiers. The testing results showed that the proposed hybrid system can achieve higher classification accuracy than others with 93.3% and it can be one of the competitive classifier for the intrusion detection system. © 2012 Elsevier B.V. All rights reserved.