Sustainable nanocoatings surface.

With the growing awareness of nanobiocatalysts, a new ecofriendly process is paramount for advances in bioprocess technology. The use of biocatalysts for green organic synthesis, offering clean and mild reaction conditions, provides opportunities to increase productivity, efficiency, purity and quality innovations. Furthermore, this green route may expand and diversify markets for food to agrochemicals. Modern society has become increasingly dependent on fossil resources, especially crude oil that is used not only as fuel but also as a raw material for a variety of chemicals and other commodities. We focussed on the development and application of bio-based processes for effective transformations of non-renewable substrates into useful substances. By selectively combining their molecular constituents (fatty acids, glycerol, amino acids, saccharides etc), a wide variety of specialty and fine chemicals (amides, esters, epoxides, surface-active materials, etc.) can be prepared. Each of these ‘platform’ chemicals stands at the apex of a cascade of transformations that will produce hundreds of commercially important material

Composite - its endless journey.

A composite, in its general term, is a solid material that results when two or more different substances, each with its own characteristics and properties, are combined to create a new substance whose properties are superior to those of the original components in a specific application, Composites are of greatest use in the aerospace industry in which their stiffness, lightness, and heat resistance make them the materials of choice in reinforcing the engine cowls, wings, doors, and flaps of aircraft. Composite materials are also used in rackets and other sports equipment, in cutting tools, and in certain parts of automotive engines

Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections

Land subsidence is one of the common geological hazards worldwide and mostly caused by human activities including the construction of massive infrastructures. Large infrastructure such as airport is susceptible to land subsidence due to several factors. Therefore, monitoring of the land subsidence at airport is crucial in order to prevent undesirable loss of property and life. Remote sensing technique, especially Interferometric Synthetic Aperture Radar (InSAR) has been successfully applied to measure the surface deformation over the past few decades although atmospheric artefact and orbital errors are still a concerning issue in this measurement technique. Multi-temporal InSAR, an extension of InSAR technique, uses large sets of SAR scenes to investigate the temporal evolution of surface deformation and mitigate errors found in a single interferogram. This study investigates the long-term land subsidence of the Kuala Lumpur International Airport (KLIA), Malaysia and Singapore Changi Airport (SCA), Singapore by using two multi-temporal InSAR techniques like Small Baseline Subset (SBAS) and Multiscale InSAR Time Series (MInTS). General InSAR processing was conducted to generate interferogram using ALOS PALSAR data from 2007 until 2011. Atmospheric and orbital corrections were carried out for all interferograms using weather model, namely European Centre for Medium Range Weather Forecasting (ECMWF) and Network De-Ramping technique respectively before estimating the time series land subsidence. The results show variation of subsidence with respect to corrections (atmospheric and orbital) as well as difference between multi-temporal InSAR techniques (SBAS and MInTS) used. After applying both corrections, a subsidence ranging from 2 to 17 mm/yr was found at all the selected areas at the KLIA. Meanwhile, for SCA, a subsidence of about less than 10 mm/yr was found. Furthermore, a comparison between two techniques (SBAS and MInTS) show a difference rate of subsidence of about less than 1 mm/yr for both study area. SBAS technique shows more linear result as compared to the MInTS technique which shows slightly scattering pattern but both techniques show a similar trend of surface deformation in both study sites. No drastic deformation was observed in these two study sites and slight deformation was detected which about less than 20mm/yr for both study areas probably occurred due to several reasons including conversion of the land use from agricultural land, land reclamation process and also poor construction. This study proved that InSAR time series surface deformation measurement techniques are useful as well as capable to monitor deformation of large infrastructure such as airport and as an alternative to costly conventional ground measurement for infrastructure monitoring

Video-rate or high-precision: A flexible range imaging camera

A range imaging camera produces an output similar to a digital photograph, but every pixel in the image contains distance information as well as intensity. This is useful for measuring the shape, size and location of objects in a scene, hence is well suited to certain machine vision applications. Previously we demonstrated a heterodyne range imaging system operating in a relatively high resolution (512-by-512) pixels and high precision (0.4 mm best case) configuration, but with a slow measurement rate (one every 10 s). Although this high precision range imaging is useful for some applications, the low acquisition speed is limiting in many situations. The system’s frame rate and length of acquisition is fully configurable in software, which means the measurement rate can be increased by compromising precision and image resolution. In this paper we demonstrate the flexibility of our range imaging system by showing examples of high precision ranging at slow acquisition speeds and video-rate ranging with reduced ranging precision and image resolution. We also show that the heterodyne approach and the use of more than four samples per beat cycle provides better linearity than the traditional homodyne quadrature detection approach. Finally, we comment on practical issues of frame rate and beat signal frequency selection

A UX model for the evaluation of learners' experience on lms platforms over time

Although user experience (UX) is dynamic and evolves over time, prior research reported that the learners' experience models developed so far were only for the static evaluation of learners' experiences. So far, no model has been developed for the dynamic summative evaluation of the UX of LMS platforms over time. The objective of this study is to build a UX model that will be used to evaluate learners' experience on LMS over time. The study reviewed relevant literature with the goal of conceptualizing a theoretical model. The Stimuli-Organism-Response (SOR) framework was deployed to model the experience engineering process. To verify the model, 6 UX experts were involved. The model was also validated using a quasi-experimental design involving 900 students. The evaluation was conducted in four time points, once a week for four weeks. From the review, a conceptual UX model was developed for the evaluation of learners' experience with LMS design over time. The outcome of the model verification shows that the experts agreed that the model is adequate for the evaluation of learners' experience on LMS. The results of the model validation indicate that the model was highly statistically significant over time (Week 1: x2(276) = 273 I 9.339, Week2: x2(276) = 23419.626, Week3: x2(276) =18941.900, Week4: x2(276) = 27580.397, p=000<0.01). Each design quality had strong positive effects on the learners' cognitive, sensorimotor and affective states respectively. Furthermore, each of the three organismic states: cognitive, sensorimotor, and affective, had strong positive influence on learners' overall learning experience. These results imply that the experience engineering process was successful. The study fills a significant gap in knowledge by contributing a novel UX model for the evaluation of learners' experience on LMS platforms over time. UX quality assurance practitioners can also utilize the model in the verification and validation of learner experience over tim

High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest

The focus of this study is on vegetation species mapping using high spatial resolution IKONOS-2 and digital Color Infrared (CIR) Aerial Photos (spatial resolution 4 m for IKONOS-2 and 20 cm for CIR) and Hyperion Hyperspectral data (spectral resolution 10 nm) in Pasoh Forest Reserve, Negeri Sembilan. Spatial and spectral separability in distinguishing vegetation species were investigated prior to vegetation species mapping to provide optimal vegetation species discrimination. A total of 88 selected vegetation species and common timber groups of the dominant family Dipterocarpaceae with diameter at breast height more than 30 cm were used in this study, where trees spectra were collected by both in situ and laboratory measurements of foliar samples. The trees spectra were analysed using first and second order derivative analysis together with scatter matrix plot based on multiobjective optimization algorithm to identify the best separability and sensitive wavelength portions for vegetation species mapping. In high spatial resolution data mapping, both IKONOS-2 and CIR data were classified by supervised classification approach using maximum likelihood and neural network classifiers, while the Hyperion data was classified by spectral angle mapper and linear mixture modeling. Results of this study indicate that only a total of ten common timber group of dominant Dipterocarpaceae genus were able to be recognized at significant divergence. Both high spatial resolution data (IKONOS-2 and CIR) gave very good classification accuracy of more than 83%. The classified hyperspectral data at 30 m spatial resolution gave a classification accuracy of 65%, hence confirming that spatial resolution is more sensitive in identification of tree genus. However, for species mapping, both high spatial and spectral remotely sensed data used are marginally less sensitive than at genus level

Ship availability oriented contract management model for in-service support contracts of naval vessels

The rapid development of the ship building and ship repair industry in recent years has transformed the way organizations perceive the future industry growth. Greater growth of naval technology is clearly noticed as well. Disappointingly, the worldwide phenomenon reflects that availability of naval vessels remained lower than expected. The Royal Malaysian Navy (RMN) vessels currently maintained under in-service support (ISS) contracts suffer the same fate, despite continuous yearly effort to improve the ships’ availabilities. The complexity of naval ship itself and its ever-changing roles and mission makes the situation more complex. Previous studies remained focused mostly on availability calculations and availability modelling of few factors only. There has not been any holistic study on all human and equipment factors impacting availability. The research aim is to demystify the complex naval ship availability issue by developing a decision-making model in improving ship operational availability of naval vessels under the ISS contract. Besides introducing a simplified view to the complex naval issue, this multiple-staged mixed-method sequential Delphi exploratory research has determined and ranked various downtime influence factors (DIFs) viewed holistically from both human and equipment perspectives, as well as determining the DIFs impact from the contract and project management perspectives. A panel of 30 experts and five top management experts in ISS contract in Malaysia participated in the research. 50 DIFs were identified, and a severity index (SI) was developed for each of the determined 15 severe DIFs. The developed SI highlights that almost 45% of the downtime causes are due to the top five severe DIFs with corrective maintenance (SI 0.142) ranked first, spares availability (SI 0.082) ranked second, cash flow shortages (SI 0.078), ranked third maintenance budget allocation ranked fourth (SI 0.075) and knowledge management including training and skills (SI 0.070) ranked fifth. In this study, an availability-oriented model has been developed to assist policymakers in decision making and for maintainers and logisticians in appreciating their individual contribution to improve availability. Contract managers are provided with a tool to better manage the contract at ‘close to real time’ with identified prioritization on severe issues added with recovery recommendation to improve the ongoing availability situation. The simple approach and model are more appealing to practitioners unlike previously where complex mathematical results and algorithms were made available. An interesting finding is that availability could be improved even with budget constraints

6th International Conference on Libraries (ICOL) 2017 “Towards Lean Libraries”

The International Conference on Libraries (ICOL2017) held in Penang, Malaysia on 2-3 August 2017, was the sixth international ICOL conference, a once-every-two-years opportunity that provides platform for participants and presenters to access the best information, discover new ideas and network with people in the profession. More than 20 abstracts submitted by interested authors, however, after being reviewed, only 18 papers have been accepted. Two accepted papers were withdrawn by their authors by the time of publishing. There were two speakers sponsored by the vendors who gave inputs on topics relevant to the conference but not included in this proceeding. A total of 14 full papers are included in this publication which covers the section of Managing Libraries; Creativity and Innovation; Right Tool at the Right Time and Improve while Reduce

OBSERVER-BASED-CONTROLLER FOR INVERTED PENDULUM MODEL

This paper presents a state space control technique for inverted pendulum system. The system is a common classical control problem that has been widely used to test multiple control algorithms because of its nonlinear and unstable behavior. Full state feedback based on pole placement and optimal control is applied to the inverted pendulum system to achieve desired design specification which are 4 seconds settling time and 5% overshoot. The simulation and optimization of the full state feedback controller based on pole placement and optimal control techniques as well as the performance comparison between these techniques is described comprehensively. The comparison is made to choose the most suitable technique for the system that have the best trade-off between settling time and overshoot. Besides that, the observer design is analyzed to see the effect of pole location and noise present in the system