The application of Ultrasound (US) irradiation to remove ammonia nitrogen from aqueous solutions, including synthetic solution and landfill leachate, at 20 kHz was investigated in this thesis. Batch experiments were carried out using two synthetic solutions with initial ammonia concentrations of 3000 and 5000 mg TAN/L in addition to two leachates from new and old landfills. The results of testing showed that US irradiation is an effective treatment technology for the removal of aqueous ammonia. More specifically, it was found that increasing sonication time and pH increased ammonia removal. The maximum observed removal of ammonia was 87.4% at a pH of 11 and sonication time of 25 minutes. Also, it was found that volatilization of ammonia to the atmosphere accounted for 0-7% of removal, the thermal effect of US accounted for 21.1-52.7%, and the non-thermal effect of US accounted for 44.5-78.8% (depending on pH and sonication time). Results of factorial design and response surface methodology showed that pH, energy output (kJ), and the interaction between the two were significant parameters. The predicted two factor interaction (2FI) model was in close agreement to the observed data (R2 = 0.94) and produced an optimum ammonia removal of 87% at a pH of 10.9 and energy output of 94.8 kJ. Analysis of variance tests showed that there were no significant differences in the percent removal of ammonia due to the non-thermal effects of US across all four solutions (synthetic and leachate) indicating that US irradiation is a non-selective treatment method for ammonia removal.

General characteristic of web mining including methodology and procedures incorporated into this term. Relation to other areas (data mining, artificial intelligence, statistics, databases, internet technologies, management etc.) Web usage mining - data sources, data pre-processing, characterization of analytical methods and tools, interpretation of outputs (results), and possible areas of usage including examples. Suggestion of solution method, realization and a concrete example's outputs interpretation while using above mentioned methods of web usage mining.

As of today, 1.1 billion people in the world lack access to electricity, while 2.9 billion rely on polluting fuels such as firewood, charcoal and kerosene for cooking. This is most prominent in Sub-Saharan Africa where two thirds of the population do not have access to electricity and modern cooking fuels. As electricity serves a prominent part of modern society, electrification is often referred to as a key enabler for socio-economic development. The United Nations have agreed on 17 Sustainable development Goals with the aim to stimulate action over the next fifteen years in areas of critical importance for ending poverty, protect the planet and ensure prosperity for all. According to the World Bank, energy is interconnected with 125 out of the total 169 sub-targets that are included in the Sustainable Development Goals. The goal of this thesis is to investigate the relation between access to electricity and relevant development indicators. By assessing previous research within the field of electrification and development, a number of key indicators have been selected for further analysis. A statistical analysis on the development of these indicators in the case study of Rwanda was performed and demonstrated that access to electricity services does have considerable impact on socio-economic development.

The intrinsic atomistic variability of nano-scale integrated circuit (IC) technology must be taken into account when analysing circuit designs to predict likely yield. These ‘atomistic’ variabilities are random in nature and are so great that new circuit analysis techniques are needed which adopt a statistical treatment of the variability of device performances. Monte Carlo (MC) based statistical techniques aim to do this by analysing many randomized copies of the circuit. The randomization can take into account correlation between parameters due to both intra-die and inter-die effects. A major problem is the computational cost of carrying out sufficient analyses to produce statistically reliable results. The use of principal components analysis (PCA) and ‘Statistical Behavioural Circuit Blocks (SBCB)’ is investigated as a means of reducing the dimensionality of the analysis, and this is combined with an implementation of ‘Statistical Blockade (SB)’ to achieve significant reduction in the computational costs. The purpose of SBCBs is to model the most important aspects of the device’s or circuit building block’s behaviour, to an acceptable accuracy, with a relatively small number of parameters. The SB algorithm applies Extreme Value Theory (EVT) to circuit analysis by eliminating randomised parameter vectors that are considered unlikely to produce ‘rare event’ circuits. These circuits are needed for circuit yield failure predictions and occur on the ‘tails’ of Gaussian-like probability distributions for circuit performances. Versions of the circuit analysis program ‘SPICE’ with a Python harness called RandomSPICE are used to produce SBCBs by generating and statistically analysing randomized transistor-level versions of the sub-blocks for which behavioural models are required. The statistical analysis of circuits employing these sub-blocks is achieved by a new MATLAB harness called RandomLA. The computational time savings that may be achieved are illustrated by the statistical analysis of representative circuits. A computation time reduction of 98.7% is achieved for a commonly used asynchronous circuit element. Quasi-Monte Carlo (QMC) analysis with ‘low discrepancy sequences (LDS)’ is introduced for further computation reduction. QMC analysis using SBCB behavioural models with SB is evaluated by applying it to more complex examples and comparing the results with those of transistor level simulations. The analysis of SRAM arrays is taken as a case study for VLSI circuits containing up to 1536 transistors, modeled with parameters appropriate to 35nm technology. Significantly faster statistical analysis is shown to be possible when the aim is to obtain predictions of the yield for fabrication. Saving of up to 99.85% in computation time was obtained with larger circuits.

京都大学 / 0048 / 新制・課程博士 / 博士(薬科学) / 甲第22651号 / 薬科博第123号 / 新制||薬科||13(附属図書館) / 京都大学大学院薬学研究科薬科学専攻 / (主査)教授 石濱 泰, 教授 緒方 博之, 教授 馬見塚 拓, 教授 山下 富義 / 学位規則第4条第1項該当 / Doctor of Pharmaceutical Sciences / Kyoto University / DFAM

This thesis analyses an occurrence of detected pollutant concentrations of nitrogen oxides, dust particles of the size od 10 and 2,5 m and ground ozone in years 2015-2019 in seven chosen locations in Brno agglomeration. In the introduction, the thesis describes basic terms, the issues of air pollution and relevant legislation. Individual pollutants are defined and also their effect on environment and human health. After that, the locations of Brno, for which the analysis is made, is specified. The dynamics of development of individual pollutants is shown through a statistical analysis of individual time lines. The analysis also focuses on the difference in the level of pollution during weekdays, holidays, seasons or rush hour. The quantities are also viewed from the point of view of the relevant air pollution limits and the influence of climatic factors, which significantly affect their concentrations.

This thesis is focused on analyzing pitch as one of the key parameters in manufacturing hydraulic hoses. Data for this analysis was acquired directly on site at Semperflex Optimit s.r.o. In this paper, a description of processes will be provided, and the influence of these processes on the pitch will be investigated. During this analysis two processes were found to have the greatest influence on the pitch and improvements were suggested. Using the Gauge R&R method, the precision of the measuring system was assessed and the appropriate adjustments were made.

For this project, a historical statistical analysis of the Amplitude of Mass Fluctuations ($\sigma_8$) and Hubble's Constant ($H_0$) parameters in the Standard Cosmological Model was carried out to determine whether or not the given error bars truly represent the dispersion of values. It was found through analysis of the Chi-Squared ($\chi^2$) values of the data that for $\sigma_8$ (60 data points and $\chi^2$ between 183.167 and 189.037) that the associated probability Q is extremely low, with $Q = 1.5597*10^{-15}$ for the weighted average and $Q = 1.2107*10^{-14}$ for the best fit of the data. This was also the case for the $\chi^2$ values (163 data points and $\chi^2$ between 484.3977 and 575.655) of $H_0$, where $Q = 4.2176*10^{-34}$ for the linear fit of the data and $Q = 1.0342*10^{-47}$ for the weighted average of the data. Through further analysis, it is shown in question, a linear fit is a better estimate of the data than the weighted average. The general conclusion is that the statistical error bars have been underestimated (in around 20\% of the measurements), or the systematic errors were not properly taken into account.

The ATLAS experiment is one of the two general-purpose detectors at the Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) in Switzerland. ATLAS is designed for precision mea- surements of particle properties, the search of the Higgs boson and new physics beyond the Standard Model. The experiment got worldwide atten- tion in 2012, when after the collaborative efforts with the CMS experiment the Higgs boson discovery was announced. After the discovery, the preci- sion measurements of its properties became one of the main objectives of the LHC physics programme, since a potential observation of deviations from the Standard Model predictions might lead to the discovery of new physics. In this thesis, the measurements of the Higgs boson production cross-sections in the H → ττ decay channel are presented. Based on the proton-proton collision data collected at the centre-of-mass energy of 13 TeV in years 2015 and 2016, the signal over the expected background from the other Standard Model processes is established with the observed significance of 4.4σ. Com- bined with the data collected at 7 and 8 TeV, the observed signal significance amounts to 6.4σ, which constitutes a single experiment observation of the H → ττ decays by ATLAS. All presented results are found to be consistent with...

: BATTLE MECHANICS IN LoL: Investigating Analogies Between Real Warfare and Computer Games My Masters' thesis will be about how one can draw parallels between the e-sports scene in competitive online games, and the all-too real military situations that come up ever so often. Not just that, but also the possibility of running battle simulations is much more convenient in the case of e-sports, as there is no life/death scenario involved, which makes it much more suitable for implementing the more unconventional, or even some downright outrageous strategies for victory. The game I have in mind at present is League of Legends, which is a MOBA game [Multiplayer Online Battle Arena]. In LoL, battles take place between two teams of 5 vs 5, involving 10 unique characters out of a total game roster of 140+ possible character choices, each with different sets of abilities and playstyles suited for different [or in some cases, the same] situations. The battles take place on the map called Summoner's Rift, a terrain with various obstacles, bushes and whatnot to deny total vision to either of the competing teams. The methodology I would choose for my paper would be statistical analysis; since LoL is an online competitive game, statistics are easily available for the games played, either on the official game...