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This paper offers an interdisciplinary exploration linking the narratives of disaster studies and civil engineering programme in a Malaysian context. In Malaysia, civil engineers play a pivotal role in advancing the nation and people through the construction of infrastructure. This includes highways, buildings and dam construction. These constructions are heavily related to human beings and society at large. However, current literature indicates that civil engineers in Malaysia lack the ability to understand the narratives of trauma especially in cases of manmade and natural disasters. This is due to the fact that most civil engineering programmes focus on technical knowledge while little emphasis is given to trauma studies. Hence, this case study aims to link trauma studies and hydrometeorological disasters in Malaysia. Drawing theoretical frameworks from the work of the trauma narrative expert Cathy Caruth, this project aims to take her conceptual undertaking of trauma narratives to add on, compliment and strengthen the existing curriculum. The crux of this project involves civil engineering students in engaging with trauma narratives of disaster victims. The methodology is a narrative technique to capture the elements of trauma that can be represented in many forms. The paper reports on challenges and reflections as well as methodological constraints from this case study. It concludes with a promising integration of narrative technique in the curriculum.

In recent trends, privacy preservation is the most predominant factor, on big data analytics and cloud computing. Every organization collects personal data from the users actively or passively. Publishing this data for research and other analytics without removing Personally Identifiable Information (PII) will lead to the privacy breach. Existing anonymization techniques are failing to maintain the balance between data privacy and data utility. In order to provide a trade-off between the privacy of the users and data utility, a Mondrian based k-anonymity approach is proposed. To protect the privacy of high-dimensional data Deep Neural Network (DNN) based framework is proposed. The experimental result shows that the proposed approach mitigates the information loss of the data without compromising privacy.

This work aims to study the relation between Precipitation and six of its various climatic factors. The analysis shows how much is the contribution of Reference Crop Evapotranspiration, Average Temperature, Wet Day frequency, Potential Evapotranspiration, Vapor Pressure and the Cloud Cover towards precipitation. For the purpose of finding the percentage of contribution by every parameter on Precipitation, we use a method called Analytical Hierarchical Processing. Basically, Analytical Hierarchical Processing is used for decision making.

Now-a-days the web services are uprising technology which appeals lots of attention from both academic and industry. The quality of service has been one of the major challenges in the web services. If the web services become operational then the service providers with Service Level Agreement (SLA) need to consider and monitor with respect to the quality of web services and SLA. The most important factor is that to monitor and prevent the SLA intrusion in the composite web services. In the existing work the adaptation is done only at the instance level of the composition, for each level of composition the adaptation is done in each instance. Then the aggregated SLO's are defined over the number of instances which are out of scope and also the adaptation is not considered as permanent. In this PERvent (prediction and prevention based on event monitoring) framework is not supported for large number of adaptation action per the checkpoint because it is fully based on the number of checkpoints, and also it supports limited structural adaptation in the composition. The proposed work is to exclude these drawbacks by introducing the framework called Quality based dynamic composition (QDC) framework for monitoring the SLA parameter as well as monitoring Service Quality (QOS) Parameter for composite web service and also we will discuss the experimental results to prove how these approaches to monitor the Quality of Service (QOS) parameters for the composed web service.

This paper presents a Buck Converter based CSI fed BLDC Motor for Defense applications. The aim of the work is to reduce the cost and size of a brushless dc motor (BLDC) drives as well as increase the reliability and ruggedness of that drive. Traditional BLDC drives use Voltage Source Inverter (VSI) that utilize hard switching, thereby generating switching losses and entail the use of large heat sinks. VSI needs a huge dc link capacitor that is inherently unreliable and is one the most expensive components of drive. Hence, a Current Source Inverter (CSI) is used to replace the hard switching by soft switching, thereby eliminating the heat sinks as well as the large dc link capacitor. A controlled rectifier together with a large inductor act as the current source, the only disadvantage is the large value of the dc link inductor and the huge number of turns needed to achieve these values of the inductances lead to huge resistive losses. Therefore, it is shown that it is possible to replace the controller rectifier and the large inductor with a suitable Buck converter based current source inverter switching at high frequencies and much smaller value of the dc link inductor without increasing the current ripples. Hence, it is possible to have the advantage of using a CSI as well as reduce the value of the dc link inductor without a corresponding increase in the heat sink. The effectiveness of the VSI and CSI fed BLDC motor schemes are verified through the simulation results.

Inhibition effect of Vanillin-4-methylthiosemi carbazone(VMTSC) and Vanillin-4-ethylthiosemi carbazone (VETSC) for the corrosion on mild steel in aqueous solution containing 1N H 2 SO 4 was investigated by weight loss, potentiodynamic polarization technique, electrochemical impedance spectroscopy and scanning electron microscopy. The results of weight loss study showed that the inhibition efficiency increases with increase in concentration of the inhibitors. Potentiodynamic polarization data showed that Vanillin-4-ethylthiosemicarbazone (VMTSC) and Vanillin-4-ethylthiosemicarbazone (VETSC) behave as mixed type inhibitor in 1N H 2 SO 4 . Electrochemical impedence spectroscopy was used to investigate the mechanism of the corrosion inhibition. The surface morphology of the mild steel samples both in absence and presence of inhibitor at optimum concentration was examined via Scanning Electron Microscopy (SEM). The adsorption of this compound was found to obey Langmuir adsorption isotherm. The value of ΔG° ads was less than 40kjmol−1 indicating electrostatic interaction between the charged inhibitor molecules and the charged metal surface, i.e., physical adsorption. Various thermodynamic parameters were calculated to investigate the mechanism of corrosion inhibition.

Wind energy is clean, renewable, and often rises to the top of the list when considering “green” energy alternatives. Many challenging issues also arise when considering wind energy. The biggest issue, some say, is that wind energy is not reliable, dependable, or consistent enough to be taken seriously; any more than on small scale applications. Due to the inconsistent nature of wind, it cannot be a contributor for base load energy production. The industry has, and is currently addressing this issue of “intermittent” power generation from wind by means of energy storage. That is to say, produce the energy when the opportunity arises and store the energy for later use when demand levels increase. Energy storage technology has been continuously being developed for various types of renewable energy. The two primary energy platforms this applies to is wind and solar. Wind doesn't blow 24/7 nor does the sun always shine. In order to overcome these drawbacks, the following modifications requires in our traditional wind mill structure. a. By fixing solar strip over turbine blades, we could generate electricity when the wind turbine slows or stop. b. By placing hydrogen storage compartment in a turbine tower, the plant could produce hydrogen through an electrolyser when there is excess wind energy available, and then provide electricity to domestic customers via a fuel cell and a hydrogen combustion engine. The proposed solution will be especially useful in areas with insufficient power production or insufficient electricity infrastructure. For instance, stored hydrogen can be used to provide back-up/emergency power or to secure a more reliable and higher quality power supply.