public:sc-t-701-rem4-18-1:rem4-18-approvedtitles
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public:sc-t-701-rem4-18-1:rem4-18-approvedtitles [2018/02/01 13:30] – [Intrusions in the cloud - A comparison of three approaches] thorisson | public:sc-t-701-rem4-18-1:rem4-18-approvedtitles [2024/04/29 13:33] (current) – external edit 127.0.0.1 | ||
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====== Approved Topics With Tentative Titles ====== | ====== Approved Topics With Tentative Titles ====== | ||
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+ | ===Comparison Of Different Methods For Counting Fish=== | ||
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+ | == Unnar Freyr Erlendsson == | ||
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+ | When fish are being sold from onshore fish farms to offshore fish farms they need to be counted as the seller will want to get maximum value for their fish and the buyer doesn' | ||
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+ | ===Comparison of solving problems coding at night versus day=== | ||
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+ | ==Theódór Ágúst Magnússon== | ||
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+ | Programmers have been known to finish projects overnight, fueled with coffee and energy drinks, to meet a certain deadline. I ask myself, whether or not the fact that they are working overnight implies better, worse or same results as they would by working during the day. Knowing this could greatly benefit software companies by giving them a broader set of facts to calculate the feasibility in pursuing a certain deadline, where the dev team would have to program overnight. | ||
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+ | We'd perform experiments using an online coding challenge software, which measures the quality of your solution relative to its creation time. | ||
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+ | Hypothesis: When a programmer solves problems during night time, the solution is quicker to build but is more prone to testing failures. | ||
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+ | ===Predicting Cryptocurrency Exchange Rates via Machine Learning Methods=== | ||
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+ | ==Brynjar Sigurðsson== | ||
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+ | In the paper //Automated Bitcoin Trading via Machine Learning Algorithms // the authors model the price prediction problem as "a binomial classification task, experimenting with a custom algorithm that leverages both random forests and generalized linear models" | ||
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+ | In prior work it is mentioned that " | ||
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+ | I want to try to get a better prediction rate via Deep Neural Network. | ||
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+ | Tentative hypothesis: Out of the three ML methods ANN, SVM and RF, the RF achieves the best precision and SVM the worst precision when used to predict cryptocurrency exchange rates for the future. | ||
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+ | === The effects of psychedelic substances on the five major dimensions of personality and their implications on general outlook, values and beliefs === | ||
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+ | == Hákon Gunnarsson== | ||
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+ | Past work done with psychedelic substances in controlled environments has demonstrated a significant effect on the personality trait of openness. Less work has been done to ferret out their effects on the other four dominant traits of personality. The present study hopes to account for these effects, among other things. | ||
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+ | Motivation: Psychedelics have been found to influence the results of psychometric tests in a statistically significant manner. The question remains whether or not these changes are superficial or if they are integrated fully enough to be expressed in a change in outlook, actions or other measurable qualities. If they are more than superficial, | ||
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+ | Another aim of the work herein is too detail whether and to what extent any possible effects on personality traits will propagate towards other aspects of consciousness, | ||
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+ | Hypothesis: Ingestion of psychedelic substances is capable of creating significant and lasting transformations of personality and these effects will be integrated enough with personality as a whole to effect changes in general outlook and beliefs. | ||
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+ | ===TBD=== | ||
+ | ==Pétur Kristófer Oddsson== | ||
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+ | Sharing processing power with more positive effects instead of advertisement. | ||
+ | Advertisments in applications that fill up your window space on your computer or mobile phone ( http:// | ||
+ | The money being spent on advertisement in applications is surpassing $100 billions. If a universal API (Application Programming Interface) for each platform (iOS, Android, Windows) could let users turn off the advertisements. Users would be more likely to use their applications if there were no advertisements but instead a small percentage of processing power is being used. I think developers could earn coins or share the processing power as a worldwide supercomputer to solve tasks that require a lot of processing power and get payment out of that instead of advertisements. Users would be more likely to use these applications more frequently with much more positive effects if they would mine under the hood instead of watching advertisements. | ||
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+ | ===The different effects of display settings on human eyes=== | ||
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+ | == Arnar Bjarni Arnarson == | ||
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+ | Experiment: Users play a computer game for 4 hours (same game for all users) on an LED monitor with different refresh rates (60hz, 120hz, 144hz). The content on the monitor is then displayed with different framerates (24fps, 30fps, 60fps, 120 fps, 144fps). Tests are performed on separate days so the users are fully rested between each trial. The users are questioned if they are experiencing the symptoms of CVS and split into groups based on what frame rate they are used to (usually the refresh rate of their monitor although there may be special cases.) | ||
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+ | Does higher frame rate reduce strain on the eyes? | ||
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+ | Does higher refresh rate reduce strain on the eyes? | ||
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+ | Does it matter what frame rate or refresh rate we are used to? | ||
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+ | Hypothesis: Both refresh rate and frame rate have negligible effects but our usual settings will make us feel more comfortable. | ||
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+ | Problems: Gameplay differs for users (different lighting in areas), emotional impact from playing the game, users might be sick. | ||
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+ | ===How does hype influence the price of cryptocurrencies=== | ||
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+ | ==Michelangelo Diamanti== | ||
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+ | In this comparative experiment I will try to understand the magnitude of the influence of hype on the price of cryptocurrencies: | ||
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+ | - Create two cryptocurrencies which address two different fields, so the price of one does not affect the other. Each crypto will start with the same price, volume and market cap. | ||
+ | - Organize a closed beta testing in which each of the two cryptos is introduced to a group of people, so C1 is assigned to G1 and C2 is assigned to G2. Each group will only receive information and be able to trade its own cryptocurrency. | ||
+ | - During the beta we will be in charge of the marketing campaign of the two cryptos, so we will be the one creating and spreading rumors and news, which are known to produce hype. | ||
+ | - We will then be able to keep track of exactly when a particular piece of information reaches the desired group of people, and how it affects the price of the crypto | ||
+ | - We might also let participants spread some rumors about the crypto they are trading in order to see if there is a difference between hierarchical generated hype and peer to peer hype | ||
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+ | At the end of the beta period we will compare the growth of the two currencies and prove, or disprove the theory according which hype almost completely influences the price of a cryptocurrency | ||
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===Comparing the Burrow-Wheeler Aligner (BWA) and the Bowtie 2 software for short read alingment=== | ===Comparing the Burrow-Wheeler Aligner (BWA) and the Bowtie 2 software for short read alingment=== | ||
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====Intrusions in the cloud - A comparison of three approaches==== | ====Intrusions in the cloud - A comparison of three approaches==== | ||
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===Does design-driven development lead to more effective software? | ===Does design-driven development lead to more effective software? | ||
==Julia Elisabeth Haidn== | ==Julia Elisabeth Haidn== | ||
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===Sustainability of Diets With Low Environmental Negative Impact=== | ===Sustainability of Diets With Low Environmental Negative Impact=== | ||
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===Deep Reinforcement Learning for Multiplayer Games=== | ===Deep Reinforcement Learning for Multiplayer Games=== | ||
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+ | ===MongoDB, Oracle, Microsoft SQL Server - Which database system is better for an ERP system?=== | ||
+ | ==Jaroslav Fedorcák== | ||
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+ | Large companies, such as eshops leading in the market, depend a great deal on the performance of their ERP systems. In some cases companies develop their own ERP, rather than buying a box software, which leads to the fact that the perfomance of their whole internal IT resources depend on the database performance. | ||
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+ | Possiblities of database systems are many, but the most used ones are MongoDB, Microsoft SQL Server and Oracle. These systems‘ performances and maintenance varies, which poses a question: which of these systems is better for storing company data and using it, especially during the most difficult seasons, such as christmas holidays. | ||
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+ | The main properties important in such environment are: speed of inserts in logging tables, speed of inserts, updated, deletes and selects of tables with products/ | ||
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+ | Hypothesis: Given that NoSQL databases such as MongoDB lack stored procedures and its replacement is incorporation of javascript, for purposes of fast processing of orders on the database side, Oracle and SQL server are a better solution for an internal ERP system. | ||
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+ | This hypothesis is only one, but it concerns all three systems. | ||
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+ | ===Experimental Comparison of Methods for Analyzing Trends in Cryptocurrencies and Predicting Which Ones will be Most Profitable=== | ||
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+ | ==Giulio Mori== | ||
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+ | Nowadays with the huge increase of the Bitcoin' | ||
+ | people want to invest money on it. But choose the right currency where to invest it's very hard and only people that has economic' | ||
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+ | I was thinking to try two methods that are described in two different papers on different cryptocurrencyes and try to say witch one is the " | ||
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+ | - if they really manage to predict trends | ||
+ | - percentage of error | ||
+ | - percentage of possible gain | ||
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+ | EOF |
/var/www/cadia.ru.is/wiki/data/attic/public/sc-t-701-rem4-18-1/rem4-18-approvedtitles.1517491803.txt.gz · Last modified: 2024/04/29 13:32 (external edit)