News Article | March 2, 2017
SINGAPORE--(Marketwired - Mar 1, 2017) - PSB Academy's reputation as the Future Academy received strong affirmation from Singapore's apex chamber for public relations practitioners when the academy was conferred the esteemed merit PRISM award for its "Outstanding Corporate Reputation Programme" in Singapore. Other nominees for this category include Landlease Asia and 3M. Robert Conceicao, President of the Institute of Public Relations Singapore said: "The PRISM award stands for Public Relations in the Service of Mankind and there is no stronger testament to this spirit than the conferment of a PRISM award on an education institution whose very mission is to improve the lives of its students and the broader community. PSB Academy is not only a heritage brand, it is today an invigorated icon of Singapore's brand of education that is geared towards the Future Economy. We hope that PSB Academy's momentum in reputation building will continue to inspire others to pursue excellence in this regard, for the greater good." PSB Academy Executive Chairman Viva Sinniah shared: "We are honoured to be recognized amongst some of the best organizations in Singapore because it validates our ongoing mission of being an Academy of the Future. Quality -- both as an education institution and as a brand -- will continue to be the nexus for an academy that is fully attuned to the needs of the Future Economy. Our reputation is a reflection of our actions, and we are committed to expanding on this nexus for the interest of our students and the broader community." Launched in 2016, PSBA's "The Future Academy" initiative reflects the academy's renewed mission of preparing aspiring graduates for the future workforce. To that end, PSBA has been forging close industry ties with leading organizations to ensure that its learning journeys are bolstered by relevant industry skill-sets. These firms include, Ogilvy and Mather, Rolls Royce, Cisco Systems, to name a few; as well as establishing student chapters with apex bodies such as the Institute of Public Relations Singapore and the Institute of Engineering and Technology, to provide students with first-hand access to thought leaders. Secondly, the academy has introduced new programmes that are geared towards the needs of the new economy. These include pioneering diploma programmes in sports and exercise science, supply-chain management as well as in media and communication to help more full-time workers deepen their skillsets through flexible modes of study. It also unveiled a Master of Science in Engineering Business Management from Coventry University, UK's Modern University of the Year (The Times and The Sunday Times Good University Guide 2014, 2015 and 2016), to prepare more professionals in STEM (science, technology, engineering and mathematics) to enter leadership ranks in their respective organizations. Finally, PSBA announced expansion plans of a $15 million campus in Marina Square, which will be fully opened in the second quarter of 2017. The campus will host around 7,000 students and occupy more than 100,000 square feet in the heart of the city. It aims to push boundaries in learning by harnessing technology, and bringing together industry, research and academia to help workers and aspiring graduates alike thrive in Singapore's Future Economy. PSBA's PRISM conferment for "Outstanding Corporate Reputation Programme" comes at the heels of other recent industry accolades including, "Best Private Education Institution in Singapore 2016" by the Business and Excellence Research Group and "Best Private School for Engineering in Singapore in 2016" by JobsCentral Learning T.E.D Awards. PSB Academy Vice President of Corporate Communication, Marcus Loh said: "In a world that is accelerating toward threads of mistrust in institutions and authority, the importance of having a good reputation is today amplified like never before. The Future Academy, like Singapore's Committee for the Future Economy, has an almost-impossible task of preparing our workforce for the future, simply because no one knows what the future holds. Yet our students can be assured that through strong industry ties, future-forward programmes and investments in learning innovation, PSB Academy's graduates have emerged prepared for the workforce: In 2015, idstats research found that nine in 10 of them found employment within six months of graduation while six in 10 of them benefitted from pay raises or better career prospects. We are committed to expanding our nexus of quality education and will do our best to prepare workers and our young for the Future Economy." Productivity is at the heart of PSB Academy. Once known as Singapore's Productivity and Standards Board, PSB Academy is known today as "The Future Academy," with an approach to education that focuses on what really matters: performance in the real-world. In 2016, The Academy was conferred "Best private education institution in Singapore" by the Business Excellence and Research Group, and "Best private institution" for Engineering at the JobsCentral Learning T.E.D Awards. It hosts over 11,000 local and international students in its slate of certificate, diploma, degree and postgraduate programmes every year. PSB Academy voluntarily commissions reputable external research firms to conduct graduate employment surveys as one of several key measures of graduate outcomes. In 2015, idstats research consultancy found that around nine in 10 local/international students found perm/temp employment within six months of graduation; six in 10 benefitted from pay raises and/or career progression; and that graduates took 2.1 months on average to find employment. PSB Academy is situated at two campuses in Singapore: PSB Academy Delta and PSB Academy City Campus at Marina Square. Learn more at: www.psb-academy.edu.sg.
Mudhoo A.,University of Mauritius |
Sharma S.K.,Institute of Engineering and Technology |
Garg V.K.,Guru Jambheshwar University of Science and Technology |
Tseng C.-H.,National Taiwan University
Critical Reviews in Environmental Science and Technology | Year: 2011
Arsenic is a toxic element and has been responsible for many accidental, occupational, deliberate, and therapeutic poisonings since its discovery in 1250. It occurs in natural waters as the arsenite (As3+) and arsenate (As5+) ions. The solubility of arsenite and arsenate compounds is relatively high so that these ions are readily transported through aqueous routes into the environment. Arsenic can be transferred from soils to crops and accumulates in various food crops and aquatic plants. The fascinating chemistry and toxicity potential make arsenic and its compounds of particular scientific interest and environmental concern. The conventional removal of heavy metals from wastewater, natural waters, and drinking water has only limited effects on arsenic removal. In this review, the main engineering and medical applications, salient health and environmental concerns, novel research on treatment for arsenic poisoning, and removal technologies for arsenic and their derivatives are discussed and enumerated with a view to pursue valuable applied research in order to protect the environment from arsenic toxicity. Copyright © 2011 Taylor and Francis Group, LLC.
News Article | November 2, 2016
Flash Physics is our daily pick of the latest need-to-know developments from the global physics community selected by Physics World's team of editors and reporters Calcium-iron arsenide, which is usually not a superconductor, has been made to superconduct by Paul Chu and colleagues at the University of Houston in the US. This was done using an idea first proposed in the 1970s – that superconductivity can be enhanced or even created at the interface between two materials. Chu and colleagues heated calcium-iron arsenide so that it coexists in two different structural phases, neither of which is superconducting. Then the sample is cooled carefully to preserve the two phases. When cooled to below 25 K, the material is a superconductor at the interface between the phases. While this superconducting temperature is too low to be of practical use, Chu believes that the work offers a new direction in the search for more efficient, less expensive superconducting materials. The research is described in Proceedings of the National Academy of Sciences. A bibliometric study by researchers at the National Research University Higher School of Economics (HSE) in Russia has measured the scientific impact of 39 physics institutions belonging to the Russian Academy of Sciences (RAS). Carried out by HSE sociologists Yuriy Kachanov and Natalia Shmatko, together with Yulia Markova from the American Association for the Advancement of Science, they found that the Joint Institute for Nuclear Research, the Alikhanov Institute for Theoretical and Experimental Physics, the Lebedev Physical Institute – all based in Moscow – and the Ioffe Institute in St Petersburg are the top physics research institutions in the country. The study looked at the number of researchers based at each institution, together with publication statistics. "We were able to prove that big institutions held authority on the global science scene and produced more scientific data, which was highly received by the physics community," says Shmatko. A new initiative aimed at strengthening ties between tech firms and the UK's National Physical Laboratory (NPL) was officially launched last night at the Institute of Engineering and Technology in London. The project, known as NPL Instruments, will see experts at the Teddington-based national measurement institute work closely with companies to develop bespoke instruments, products and related services. At the event, NPL chief-executive Peter Thompson told Physics World that the new business unit would focus on products at a moderate stage of development (equivalent to Technology Readiness Levels 4 and 5) in the areas of advanced manufacturing, environment, health and life sciences, and the digital sector. NPL's work on instruments tends to be "hidden in plain view", Thompson told an audience of around 100 lab personnel, industry scientists, engineers and academics at the event, adding that the new business unit is intended to help publicize and expand the lab's role as an "instrument development partner". Paul Shore, who leads both the new unit and NPL's engineering measurement division, gave indoor GPS technologies and "smaller, faster, cheaper" atomic clocks as examples of products where the lab's existing strengths in measurement and sensing could help to catalyse technical advances. The initiative comes on the heels of a transition period for NPL, which announced in August that it would make up to 50 staff members redundant as part of what Thompson called a "rebalancing" of the 116 year-old lab.
Bhalla D.,Institute of Engineering and Technology |
Bansal R.K.,H.H. Gardens |
Gupta H.O.,Jp Institute Of Information Technology
International Journal of Electrical Power and Energy Systems | Year: 2012
Dissolved gas analysis (DGA) has been widely used for fault diagnosis in a transformer. Artificial neural networks (ANN) have high accuracy but are regarded as black boxes that are difficult to interpret. For many problems it is desired to extract knowledge from trained ANN so that the user can gain a better understanding of the solution arrived by the NN. This paper applies a pedagogical approach for rule extraction from function approximating ANN with application to incipient fault diagnosis using the concentrations of the dissolved gases within the transformer oil, as the inputs. The proposed method derives linear equations by approximation the hidden unit activation function and splitting the input space into subregion. For each subregion there is a linear equation. The experiments on real data indicate that the approach used can extract simple and useful rules. Transformer incipient fault diagnosis can be made that matches the actual fault present and at times the predictions better than those of the IEC/IEEE method. The rule sets generated have been successfully checked for accuracy of predictions by applying them to case studies. © 2012 Elsevier Ltd. All rights reserved.
Singh K.P.,Indian Institute of Toxicology Research |
Gupta S.,Indian Institute of Toxicology Research |
Kumar A.,Institute of Engineering and Technology |
Shukla S.P.,Institute of Engineering and Technology
Science of the Total Environment | Year: 2012
In this study, linear and nonlinear modeling was performed to predict the urban air quality of the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial regression (MPR), and artificial neural network (ANN) approach-based models were constructed to predict the respirable suspended particulate matter (RSPM), SO 2, and NO 2 in the air using the meteorological (air temperature, relative humidity, wind speed) and air quality monitoring data (SPM, NO 2, SO 2) of five years (2005-2009). Three different ANN models, viz. multilayer perceptron network (MLPN), radial-basis function network (RBFN), and generalized regression neural network (GRNN) were developed. All the five different models were compared for their generalization and prediction abilities using statistical criteria parameters, viz. correlation coefficient (R), standard error of prediction (SEP), mean absolute error (MAE), root mean squared error (RMSE), bias, accuracy factor (A f), and Nash-Sutcliffe coefficient of efficiency (E f). Nonlinear models (MPR, ANNs) performed relatively better than the linear PLSR models, whereas, performance of the ANN models was better than the low-order nonlinear MPR models. Although, performance of all the three ANN models were comparable, the GRNN over performed the other two variants. The optimal GRNN models for RSPM, NO 2, and SO 2 yielded high correlation (between measured and model predicted values) of 0.933, 0.893, and 0.885; 0.833, 0.602, and 0.596; and 0.932, 0.768 and 0.729, respectively for the training, validation and test sets. The sensitivity analysis performed to evaluate the importance of the input variables in optimal GRNN revealed that SO 2 was the most influencing parameter in RSPM model, whereas, SPM was the most important input variable in other two models. The ANN models may be useful tools in the air quality predictions. © 2012 Elsevier B.V.
Pandey C.K.,Institute of Engineering and Technology |
Katiyar A.K.,Institute of Engineering and Technology
Applied Energy | Year: 2011
This paper presents a statistical approach for the estimation of the diffuse/global irradiation on various inclined surfaces from the measured data of horizontal surface. In fact diffuse solar radiation on an inclined plane consists of two components: sky diffuse radiation and reflected radiation from the ground. For analyzing estimation of the daily tilted sky diffuse component from the daily horizontal diffuse irradiance, we have considered six models Badescu, Circumsolar, Skartveit and Olseth, Hay, Klucher and Liu and Jordan (Isotropic). All these models except Badescu adopted the same methodology for estimating the ground-reflected radiation component, therefore, only sky diffuse component was analyzed at Lucknow (latitude 26.75°, longitude 80.50°), India location. Statistical analysis showed that the Skartveit and Olseth model gives good prediction for the low inclination angle however; Klucher model gave better performance for highly inclined south-facing surfaces. The Root Mean Square Errors (% RMSE) value varies from 3.45% to 24.15% except for Badescu and Circumsolar model which predict worse results. In general, Klucher's model provides close agreement with the measurements. © 2010 Elsevier Ltd.
Mudhoo A.,Rajiv Gandhi Street |
Sharma S.K.,Institute of Engineering and Technology
Critical Reviews in Environmental Science and Technology | Year: 2011
In pursuit of a green and sustainable world, wastewater remediation and sludge treatment have equally become a growing global environmental concern. Several innovative treatment processes have been designed throughout the last few decades for treating wastewaters and sludges but many of them are very costly and operate at low efficiencies. In view to find novel treatment processes, active research is being conducted globally. Microwave irradiation technology is gradually making a modest but promising mark of its own in enhancing to significant extents the ease, fastness, and efficiency of certain treatment processes involved in wastewater and sludge management. The authors focus on and appraise the budding use and application of microwave irradiation in chemical research undertaken for sludge and wastewater treatment. The related aspects of microwave-assisted heavy metal stabilization, pathogen inactivation, wastewater parameter analysis, and wastewater treatment polymers synthesis are also discussed. Copyright © Taylor &Francis Group, LLC.
Nitnaware D.,Institute of Engineering and Technology
Smart Innovation, Systems and Technologies | Year: 2016
Mobile Ad Hoc Network (MANET) is a multi-hop, infrastructureless wireless network with limited bandwidth and battery power. The investigation of energy efficient protocols under Pareto traffic is being carried out in this paper. The routing protocols taken for analysis are ECG_AODV [1, 2], ECNC_AODV , EBG_AODV [4, 5] and Energy plus Node Cache plus Gossip (E+NC+G) and compare it with AODV. The behavior of all these algorithms under CBR traffic is already studied in . Here we have focused on Stochastic (Pareto) traffic source. Based on the simulation results, we observed that there is reduction in energy and overhead up to 10–30% with 2–12% deprivation in the delivery ratio for all protocol as compared to AODV. © Springer International Publishing Switzerland 2016.
Shyam R.,Institute of Engineering and Technology |
Singh Y.N.,Institute of Engineering and Technology
2nd International Conference on Signal Processing and Integrated Networks, SPIN 2015 | Year: 2015
The panorama of face recognition is to find the dissimilarity features that can be used to discriminate individuals for their recognition. The holistic face recognition methods available in the literature perform well in the controlled environments. These methods may not appropriate to identify people through their faces in uncontrolled environments such as changes in pose, facial expression and illumination. However, the feature based methods address the issues of face recognition in uncontrolled environments to a certain extent. Therefore, the biometric researchers are trying to devise the face recognition methods that perform optimally in uncontrolled environments. This paper presents a novel method of face recognition in uncontrolled environments that works with local binary pattern of facial images and compute the dissimilarity among them using Bray Curtis dissimilarity metric. A novel concept of filtering the LBP surface texture is developed. The proposed method we called as 'augmented local binary' pattern ((ALBP)) works on a combination of the principle of locality of uniform and non-uniform patterns. It replaces non-uniform patterns with the majority value of uniform patterns and combined with neighboring uniform patterns to extract valuable information regarding local descriptors. The proposed method is tested on different databases consisting uncontrolled facial images such as extended Yale B, Yale A and our database. The experimental results show that the proposed method performs better at recognizing faces in uncontrolled environments such as the facial expression, illumination, and mild pose changes. © 2015 IEEE.
News Article | February 28, 2017
Dyson has announced that it will be opening a huge new technology campus in the UK close to its global headquarters in Malmesbury. Built on former Ministry of Defence land, the 517 acre campus is Dyson’s answer to the 175 acre park Apple is building in California. With the new centre the company expects to increase its footprint in the UK tenfold, boost UK technology exports and create more high-skilled jobs in science and engineering. It’s not going to all be research into vacuums and hairdryers either; as the UK’s largest investor in robotics Dyson will use the space to develop new technologies in batteries, vision systems, machine learning, and AI. At the moment the company spends £7 million per week on research and development so this new space will certainly help it make a dent in the £2.5 billion it’s committed to investing in new technologies. James Dyson said, “After 25 years of UK growth, and continuing expansion globally, we are fast outgrowing our Malmesbury Campus. The 517 acre Hullavington Campus is an investment for our future, creating a global hub for our research and development endeavours. It will enable us to continue creating world class products and jobs right here in the Cotswolds”. The existing 56 acre headquarters will receive an investment of £250 million to become home to the planned Dyson Institute of Engineering and Technology from September. Building on the work of the James Dyson Foundation, this institute will offer an engineering education program. The plan is that the institute will apply for degree awarding powers, allowing it to become a new university. Site preparations for the new Hullavington Campus Site will begin next week and it's expected to be occupied by the end of 2017.