AN ENSEMBLE MODEL FOR CLICK THROUGH RATE PREDICTION

Internet has become the most prominent and accessible way to spread the news about an event or to pitch, advertise and sell a product, globally. The success of any advertisement campaign lies in reaching the right class of target audience and eventually convert them as potential customers in the future. Search engines like the Google, Yahoo, Bing are a few of the most used ones by the businesses to market their product. Apart from this, certain websites like the www.alibaba.com that has more traffic also offer services for B2B customers to set their advertisement campaign. The look of the advertisement, the maximum bill per day, the age and gender of the audience, the bid price for the position and the size of the advertisement are some of the key factors that are available for the businesses to tune. The businesses are predominantly charged based the number of clicks that they received for their advertisement while some websites also bill them with a fixed charge per billing cycle. This creates a necessity for the advertising platforms to analyze and study these influential factors to achieve the maximum possible gain through the advertisements. Additionally, it is equally important for the businesses to customize these factors rightly to achieve the maximum clicks. This research presents a click through rate prediction system that analyzes several of the factors mentioned above to predict if an advertisement will receive a click or not with improvements over the existing systems in terms of the sampling the data, the features used, and the methodologies handled to improve the accuracy. We used the ensemble model with weighted scheme and achieved an accuracy of 0.91 on a unit scale and predicted the probability for an advertisement to receive a click form the user

Diamond Nanowire Synthesis, Properties and Applications

Due to the superior hardness and Young’s modulus, biocompatibility, optical and fluorescence nanodiamond seems to be outstanding among carbon nanomaterials. In this footpath, the development of diamond nanowires (DNWs) is known to be a significantly innovative field due to their diverse applications such as sensors, semiconductors, and electrochemical utilities. Compared to carbon nanotubes, DNWs theoretically have energetic and mechanically viable structures. However, DNW synthesis in a reproducible way is still a challenging task. In fact, most of the DNWs can be successfully synthesized by chemical vapor deposition (CVD) and reactive-ion etching (RIE) techniques. By contrast, solution-based DNW synthesis has also emerged recently. A detailed study on DNW structures may help the emerging researchers to direct toward diverse applications. In this chapter, we comprehensively presented the up-to-date applications of DNWs along with their synthesis, structures and properties

Survey on Hardware Implementation of Montgomery Modular

This paper gives the information regarding different methodology for modular multiplication with the modification of Montgomery algorithm. Montgomery multiplier proved to be more efficient multiplier which replaces division by the modulus with series of shifting by a number and an adder block. For larger number of bits, Modular multiplication takes more time to compute and also takes more area of the chip. Different methods ensure more speed and less chip size of the system. The speed of the multiplier is decided by the multiplier. Here three modified Montgomery algorithm discussed with their output compared with each other. The three methods are Iterative architecture, Montgomery multiplier for faster Cryptography and Vedic multipliers used in Montgomery algorithm for multiplication.Here three boards have been used for the analysis and they are Altera DE2-70, FPGA board Virtex 6 and Kintex 7

Survey on Hardware Implementation of Montgomery Modular

This paper gives the information regarding different methodology for modular multiplication with the modification of Montgomery algorithm. Montgomery multiplier proved to be more efficient multiplier which replaces division by the modulus with series of shifting by a number and an adder block. For larger number of bits, Modular multiplication takes more time to compute and also takes more area of the chip. Different methods ensure more speed and less chip size of the system. The speed of the multiplier is decided by the multiplier. Here three modified Montgomery algorithm discussed with their output compared with each other. The three methods are Iterative architecture, Montgomery multiplier for faster Cryptography and Vedic multipliers used in Montgomery algorithm for multiplication.Here three boards have been used for the analysis and they are Altera DE2-70, FPGA board Virtex 6 and Kintex 7

TOWARDS RESILIENCE IN CHENNAI

Global mean temperatures have increased, average sea levels have risen, snow cover has decreased, glaciers and icecaps have started to melt, thunderstorms and torrential rains have occurred in dry areas, all pointing towards climate change. NASA has mentioned that majority of the climate scientists agree that these indicators of climate-warming trends over the past century are mostly due to human activities. The United Nations has endorsed this position and forecasted that around 50 million people will become environmental refugees by the end of this decade (UNEP, 2005). Due to this, most of the world is debating how to reduce greenhouse emissions that cause climate change and how to build resilience to the inevitable effects of climate change through various climate summits. Even though the awareness of building resilience in cities exists around the world, developing nations are facing challenges in building resilient cities due to over population and unplanned growth in the process of rapid urbanisation and economic development.One such example is Chennai, a coastal city in India. Though the city has experienced major floods in 1943, 1978, and 2005; the recent unprecedented rainfall in the fall of 2015 caused by the El Nino phenomenon had collapsed Chennai with flash floods. This presented an Indian context of climate change crisis – which is a consequence of expanding cities over existing environmental systems thereby damaging them severely. The city of Chennai, from Pre Independence to Post Independence, has been filling natural ponds, lakes and marshes to expand the city to allow closer proximity to the city centre for economic development. While these actions have resulted in increased flooding during rain, conditions of water scarcity has been observed during summer. Hasty urbanization has given no regard to the traditional system of planning which had once respected nature and combated floods and droughts through the various cultural practices and taboos practiced by the people. Thus, it is essential to look back at the planning trajectory of Chennai and to recognise methods used traditionally in the region to survive the environmental disaster, making the city flood resilient. This research explores the possibilities of alternative and sustainable approaches for resilient urban development using the environmental disaster of Chennai’s 2015 flood as a case study. This examination uncovers the traditional, the British Raj-era, the post-Independence, and the contemporary development context in order to understand the local context for where and when coastal human settlement negatively impacted the natural system.As Eliot Scalar said, “adaptation is the key. If we need to reverse climate change, we first have to survive long enough to do that”- Century of the city- No time to loose (Rockefeller Foundation, 2008)

Stability of Metal Complexes

The stability of coordination complex is an important factor that decides the stability and reactivity of a metal complex. The stability of metal complex is governed by two different aspects such as thermodynamic and kinetic stabilities. The correlation between stability and reactivity of coordination compounds has been described in this chapter. This chapter also enlists the factors influencing the stability of metal complexes such as the nature of metal ions, ligands, bonding between metal ions and ligands, etc. In addition, the methods available for the determination of stability constants are given in detail