News Article | July 8, 2017
Cardaap, is an app of e-business card folder for generating and exchanging business cards digitally, which is to be launched on 1st July, 2017. -- Cardaap, is an app of e-business card folder for generating and exchanging business cards digitally, which is to be launched on 1July, 2017. The company takes pride at introducing a product that is unique one-of-a-kind digital business card, with its advanced benefits."As a start up, we are delighted to introduce an app for digital business card creation and exchange, which addresses almost all the impediments of a traditional business card", says the owner of Cardaap, Krishna Madhav.Cardaap is the perfect solution for paper business cards, as it has more advantages over the latter. It is easy to create, exchange cards through Cardaap. As one can send card to anybody across the globe, the distance of the receiver is not a matter.New Delhi, India – June, 2017 Business card, visiting card, online card, digital card, digital business card, digital visiting card, business card app, best business card appTo learn more about the product and its service, visit the website at www.cardaap.com Free Business Card Mobile App Download http://www.cardaap.com/template/basic3/card.html
News Article | June 2, 2017
If completed, the acquisition will propel the company to the world's largest in a category dominated by Chinese conglomerate Kangde Xin Composite Material, multinationals like ExxonMobil and LyondellBasell, and Reliance Industries, claims The Economic Times India. "The sale of these European operations is just another step in the long and painful process of DuPont's withdrawal from a market they once dominated," said Simon King , chief films analyst, PCI Wood Mackenzie. “DuPont was once the largest world producer and undisputed leader in terms of R&D in the global BOPET film industry, but the company's profits have suffered in recent years from intense competition from new, low-cost, producers based in India and China. “The company has also been rationalizing their business by focusing on speciality films and, in a separate move, selling back to Teijin its share of Japanese and Indonesian plants previously jointly owned." New Delhi-based JPFL is India’s largest producer of BOPET (Biaxially-oriented polyethylene terephthalate) and BOPP (Biaxially oriented polypropylene) films typically used in the packaging industry. BOPP is used by global food, pharma, and FMCG (Fast Moving Consumer Goods) companies due to its high moisture-retaining capacity while BOPET is used in flexible packaging for x-rays, electronic displays, credit and debit cards and photography. DTF was established in 2000 as a 50:50 global alliance combining the polyester film interests of DuPont and Japan's Teijin. The business includes existing joint ventures with DuPont-Hongji Films Foshan Co in China. The joint venture has businesses in Europe, Indonesia and Japan. The European arm has a global footprint, including plants in China, Europe and the US. The European manufacturing sites are in Dumfries in Scotland and Luxembourg, with a global innovation centre in Teesside in the UK. In the past three years, Jindal Poly Films has focused on reorganizing operations. It merged the manufacturing business of Jindal Photo, increased capacities and ventured into new segments like non-woven to dominate global market share. The company has already confirmed it wants to invest in two additional BOPP lines; one in the US and one in Europe and in additional metalizing and coating capacities.
Indian Institute of Technology Delhi | Date: 2015-03-02
The present invention relates to techniques for determining unknown concentration of constituents of any known mixture. The said techniques comprising: obtaining a plurality of chromatograms relating to known concentration of known mixtures and at least one chromatogram relating to unknown concentration of the known mixture; converting each of the chromatograms into signal vectors; condensing the dimensions of each of the signal vectors for obtaining low dimensional signal vectors; processing the low dimensional signal vectors representing the chromatograms relating to known concentrations to obtain output values; and processing the at least one low dimensional signal vector representing the chromatogram relating to unknown concentration by utilizing the obtained output values for determining the unknown concentration of each of the constitutes of the known mixture.
News Article | May 25, 2017
NEW DELHI (Reuters) - State-run Coal India Ltd, saddled with millions of tonnes of unsold coal, is expected to be the biggest beneficiary of a controversial government decision to more than halve the local sales tax on the fuel after a jump in local supplies.
News Article | May 23, 2017
Facebook has had a huge impact on our lives: The company essentially owns a large part of the world’s social media user base with its products from Facebook itself, to Instagram, to WhatsApp playing an integral part in how we communicate with our family and friends and interact with brands, media, and public figures. Given how much the company’s products influence our social media, and now, real-world lives, it’s no wonder why Facebook is one of the most coveted places to intern with year after year. Which means that competition for a Facebook internship is fierce. We spoke with Utkarsh Sharma, a final year student at the Indian Institute of Technology Delhi, to find out how he got an internship with the company and what advice he gives for people who hope to land one there too. His internship went so well, Facebook offered him a full-time job as a software engineer after he graduates this year. My internship at Facebook London was in the summer of 2016 when I was 22 years old. It was a 12-week internship from May to August. I was a software engineering intern at Facebook, and was a member of an ads team based in the London office. The team works on building the infrastructure behind one of the ads products, which aims to allow small and medium local businesses to reach local audiences, and also allows larger retailers with multiple locations to use the local awareness aspect. I had heard about Facebook internships during the second year of university. What made it stick in my mind was how amazingly people spoke of it, and how upon subsequent googling, I ended up reading about it as being one of the best internships in the tech world. Being an electrical engineering major with an interest in coding, the position of a software engineering intern was the most natural choice for me. I applied for the internship in my fourth year of studies (I’m in a five-year dual degree program). I very nearly did not apply for the Facebook internship because I didn’t believe that I would get it. However, when a college senior who works at Facebook encouraged me to apply for the internship, I decided to take the plunge and give it my best. A few days after I was referred, I received an email from a recruiter with a link for an automated online coding test. After I passed the test, I had multiple phone interviews. The interviews are held one at a time, with the next ones generally scheduled condition to performance in the previous interviews. This adds to the nervousness as each interview becomes very important, and the opportunity to redeem oneself in the future interviews might not present itself. I actually wasn’t that nervous because at the time of my interviews with Facebook I already had another offer at company where I wanted to intern. I think this helped, as it reduced the performance pressure on me. Why I got the internship is a question I doubt I ever will be able to perfectly answer. I like to think it as a right mixture of hard work and luck. While being good at algorithms and data structures is a prerequisite, it is by no means the complete story. There are a lot of factors that go into someone getting hired at Facebook, including technical ability and a passion for the mission.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SST.2013.4-3. | Award Amount: 3.87M | Year: 2013
In passive safety, human variability is currently difficult to account for using crash test dummies and regulatory procedures. However, vulnerable populations such as children and elderly need to be considered in the design of safety systems in order to further reduce the fatalities by protecting all users and not only so called averages. Based on the finite element method, advanced Human Body Models for injury prediction have the potential to represent the population variability and to provide more accurate injurypredictionsthan alternatives using global injury criteria. However, these advanced HBM are underutilized in industrial R&D. Reasons include difficulties to position the models which are typically only available in one posture in actual vehicle environments, and the lack of model families to represent the population variability (which reduces their interestwhen compared to dummies). The main objective of the project will be to develop new tools to position and personalize these advanced HBM. Specifications will be agreed upon with future industrial users, and an extensive evaluation in actual applications will take place during the project. The tools will be made available by using an Open Source exploitation strategy and extensive dissemination driven by the industrial partners.Proven approaches will be combined with innovative solutions transferred from computer graphics, statistical shape and ergonomicsmodeling. The consortium will be balanced between industrial users (with seven European car manufacturers represented), academic users involved ininjury biomechanics, and partners with different expertise with strong potential for transfer of knowledge. By facilitating the generation of population and subject-specific HBM and their usage in production environments, the tools will enable new applications in industrial R&D for the design of restraint systems as well as new research applications.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: EeB.NMP.2013-2 | Award Amount: 9.38M | Year: 2013
The ECO-SEE project aims to develop new eco-materials and components for the purpose of creating both healthier and more energy efficient buildings. We will create and symbiotically use natural eco-materials for healthier indoor environments through hygrothermal (heat and moisture) regulation and the removal airborne contaminants through both chemical capture and photocatalysis. Our objectives include advancing state of the art in the technology and application of multifunctional bio-based insulation materials, vapour permeable and hygrothermal and moisture buffering finishes, together with wood panel products, to create both internal partition and external highly insulated wall panels. Novel chemical treatments and processes will be used to enhance volatile organic compound capture capacity of materials. We will also develop highly novel photocatalytic coatings using nanoparticle technology, which will be suitable for use in interior spaces and compatible with lime and wooden surfaces. Novel material development will be completed in partnership with world-class expert organisations in indoor environmental quality. We will also create a new holistic modelling framework that combines air quality, hygrothermal comfort and acoustic quality for the well-being of building users. We will take new products through to proof of concept development with prototype manufacture, large scale tests and pilot studies. We will deliver products with at least 15% lower embodied energy, at least 20% longer life, and, for at least 20% lower build costs. Our consortium brings together a multi-disciplinary team of world-class researchers from universities and research organisations with a number of large enterprises and innovative SMEs, whose combined expertise and capacity will lead commercial development and exploitation of our products. We will engage with stakeholders, including Public and Health authorities and standards committees, and deliver training and technical guidance.
Indian Institute of Technology Delhi | Date: 2015-05-27
Techniques described herein are generally related to non-interferometric phase measurements of an optical signal. The various described techniques may be applied to methods, systems, devices or combinations thereof. Some methods for determining phase data of the optical signal may include transmitting the optical signal through a first optical element and obtaining first intensity data at a first focal plane of the first optical element by an optical sensor. Example methods may also include transmitting the optical signal through a second optical element. The second optical element may include a phase transformation mask. Example methods may further include obtaining a second intensity data at a second focal plane of the second optical element by the optical sensor and determining the phase data for the optical signal based on the first intensity data and the second intensity data.
Indian Institute of Technology Delhi | Date: 2015-10-20
Diversity combining schemes have been extensively used in wireless and free space optical communication systems. The present invention of a system and method for free space optical communications where multiple gain combiner (MGC) provides a better performance as compared to selection combining (SC) and equal gain combining (EGC) and can also be used for wireless applications. It also gives a cost effective solution with a minimal degradation in quality when maximal ratio combining (MRC) is compared in terms of hardware complexity and implementation cost. There is no need for present channel state information. Also, Adaptive weight adjustment is not required in present invention. Therefore, the MGC of system and method disclosed in the present invention is a simple, cost effective and high performance diversity combiner.
Veerachary M.,Indian Institute of Technology Delhi
IEEE Transactions on Industrial Electronics | Year: 2012
A two-loop digital control strategy is proposed for load distribution on a two-input integrated buck-SEPIC converter-based dc-dc power conversion system. The proposed control strategy involves two decoupled control loops: one for low-voltage source (LVS) current control and the other for dc load voltage regulation. A discrete-time model of the proposed converter is established, and then, the relative gain array theory (RGA) of multi-input-multi-output control systems is applied to establish feasible combinations of input and output quantities, as well as control and power distribution quantities, for achieving optimal load allocation to input sources. The computed RGA number for diagonal pairing is close to one, for most of the frequencies of interest, indicating the optimal choice of controlling load voltage "v o" with duty ratio d 1 and LVS current "i g" with duty ratio "d 2." Digital voltage- and current-mode controllers are designed using discrete-time z-transfer functions. The closed-loop integrated converter performance is verified as matching the theoretical predictions. The experimental measurements are in agreement with the analytical results, thus validating the proposed digital load distribution control concept. © 2011 IEEE.