If you conduct a scientific experiment or undertake a piece of research, you’ll usually need to write up a corresponding project or lab report, to summarize the objective of your task, the methods you followed, the results you obtained, and the conclusions you drew from your work. Here we provide a sample of great templates for producing such reports, which include layout guidelines to help guide you through the process.
This study aimed to determine the effects of climate change on forest fire trends in Canada by measuring correlations between weather conditions and the frequency and size of forest fires. Upon identifying the correlations, a model was created to understand future forest fire trends. The purpose of this study was to prevent the increasing trend of forest fires and devise solutions to reduce their damages. The data obtained from the Canadian National Fire Database underwent a linear regression and a machine learning algorithm to respectively predict and correlate weather conditions with future forest fire trends. It was concluded that temperature and wind speed experienced a positive correlation with forest fire frequency and size and precipitation experienced a negative correlation. To reduce the harmful effects of forest fires, cloud seeding can be used to create more precipitation and wind farms can be built to lower wind speed and attract lightning. However, more research and stricter policies directly targeting climate change are necessary for long term stability or decrease in forest fire trends.
Human life has developed in many aspects since the evolution of computer started. The main function of creating new technologies is to make human life easier. New technologies are being invented everyday which creates limitless opportunities for developers to make use of these technologies to serve a specific purpose or task. The Advertising used to be print paper or TV ads. Today mobile and online video creates new ways to contact with customers. Today Ads are kind of the most popular online advertising market in the world and trading ad spaces over the Internet. Currently the social online ads like Facebook and YouTube have some preferred set of users they wish to reach by showing their ads but some cases force the users to watch their Advertising. Ethan Zuckerman wad created the first pop-up advertising on the web was 15-Aug-2014. The pop-up advertising most using in the pc application and browser, and APPs for smartphone. The small internet windows that pop up on your screen can be useful, annoying or dangerous often used by advertisers to get your attention or by viruses to trick you into clicking on them. This guide gives them basic information about your identity. Some dangerous pop-up can leak your private information like your name, number, credit card member, and etc. In this paper we sum up, all these facts contribute to show how danger the pop-up advertising with developing new pop-up advertising to leak the user identity.
This project focuses on a modification of a greedy transition based dependency parser. Typically a Part-Of-Speech (POS) tagger models a probability distribution over all the possible tags for each word in the given sentence and chooses one as its best guess. This is then pass on to the parser which uses this information to build a parse tree. The current state of the art for POS tagging is about 97% word accuracy, which seems high but results in a around 56% sentence accuracy. Small errors at the POS tagging phase can lead to large errors down the NLP pipeline and transition based parsers are particularity sensitive to these types of mistakes. A maximum entropy Markov model was trained as a POS multi-tagger passing more than its 1-best guess to the parser which was thought could make a better decision when committing to a parse for the sentence. This has been shown to give improved accuracy in other parsing approaches. We shown there is a correlation between tagging ambiguity and parsers accuracy and in fact the higher the average tags per word the higher the accuracy.
Now in its third year, the STEM Fellowship Big Data Challenge is a competition that helps high school students get excited about Data Science and its potential to support inquiry-based learning and problem solving.
cryptografische systemen zijn gebaseerd op stellingen uit de getaltheorie. Versleuteling en ontsleutelingen van berichten vragen vaak intensief computerrekenwerk.
Bij visuele cryptografie wordt het rekenwerk echter tot een minimum beperkt. Ook hoeft de ontwerper van deze geheimcodes bijna geen gebruik te maken van wiskundige stellingen en eigenschappen. De ontsleuteling van een boodschap kan zelfs gebeuren zonder digitale hulpmiddelen: schuif twee transparanten met onherkenbare afbeeldingen over elkaar en kijk doorheen deze transparanten naar de ontsleutelde boodschap.
In dit verslag worden drie technieken voor visuele cryptografie toegellicht. Voor de eerste techniek is er wel wat wiskundige achtergrondkennis nodig. De tweede en derde techniek zijn vlot uitvoerbaar zonder deze achtergrond.