Background: Sorting algorithms are an essential part of computer science. With the use of parallelism, these algorithms performance can improve. Objectives: To assess parallel sorting algorithms performance compared with their sequential counterparts and see what contextual factors make a difference in performance. Methods: An experiment was made with quicksort, merge sort, load-balanced parallel merge sort and hyperquicksort. These algorithms executed on Ubuntu 20.10 and Windows 10 Home with three data sets, small (106 integers), medium (5  106 integers) and large (107 integers). Each algorithm executed 1 000 times per data set within each operating system resulting in 6 000 executions per sorting algorithm.  Results: With the data from the executions, it was concluded that hyperquicksort had the fastest execution time. On average load-balanced parallel merge sort had the slowest execution time. The fastest operating system was Ubuntu 20.10, all but one algorithm executed faster on Ubuntu. Conclusions: The results showed that the fastest algorithm was hyperquicksort, but other conclusions also arose. The data set size correlated with both the execution time and speedup for a given parallel sorting algorithm. When the data set size increased, both the execution time and the speedup increased.

京都大学 / 0048 / 新制・課程博士 / 博士(医科学) / 甲第20284号 / 医科博第75号 / 新制||医科||5(附属図書館) / 京都大学大学院医学研究科医科学専攻 / (主査)教授 宮本 享, 教授 林 康紀, 教授 井上 治久 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

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Three phases of work were performed for this study. First a new form of liberation analysis was created and applied to two coal samples from separate formations. This new method of liberation analysis attempts to remove sources of error found in the traditional form of liberation analysis. This new method is capable of producing results comparable to multiple iterations of the traditional liberation analysis while using only one head sample. The new method relies on the mathematical reconstruction of the data to produce the resulting liberation profile. This allows the user to easily expand the method to include more liberation profiles without greatly increasing the amount of head weight needed. The results of this phase confirm that the products of each liberation profile reconstitute the correct feed ash. The second phase of work focused on the evaluation and concentration of rare earth elements (REEs) present in the refuse streams of coal processing plants found in the eastern United States. Twenty plants were sampled for the fleet study. Samples of these plants' refuse streams were collected and their REE and ash contents were determined. Coal from the Eagle seam, Fire Clay seam, and Fire Clay Rider were collected and tested during the concentration phase. Samples of a waste coal from the Pittsburgh seam and a coal combustion by prodcut were also provided by a third party. The separation methods investigated include multi-gravity separation, electrostatic separation, and selective oil agglomeration. Partition curves from x-ray sorting devices were also applied to REE float-sink data as well. The results of this work show that REEs tend to partition with low ash material when viewing the results on an ash basis. Finally, the third phase of this work involved the application of x-ray sorting technology on different coals. This work showed that the x-ray sorting technology in question is capable of effectively treating prescreened feed with a size range of 2" x 1/4". The work also shows that the x-ray sorting technology also has applications in the power generation field, where it can be used to eliminate elements of environmental concern. / Ph. D.

Yes / A kernel P system integrates in a coherent and elegant manner some of the most successfully used features of the P systems employed in modelling various applications. It also provides a theoretical framework for analysing these applications and a software environment for simulating and verifying them. In this paper, we illustrate the modelling capabilities of kernel P systems by showing how other classes of P systems can be represented with this formalism and providing a number of kernel P system models for a sorting algorithm and a broadcasting problem. We also show how formal verification can be used to validate that the given models work as desired. Finally, a test generation method based on automata is extended to non-deterministic kernel P systems. / The work of MG, FI and RL were supported by a grant of the Romanian National Author- ity for Scientific Research, CNCS-UEFISCDI (project number: PN-II-ID-PCE-2011-3-0688); RCUK

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Darbo tikslas: Įvertinti Kauno miesto gyventojų atliekų rūšiavimo motyvacijų sąsajas su Eko taškų įkūrimu. Uždaviniai: Įvertinti Kauno miesto gyventojų motyvaciją bei įpročius rūšiuoti atliekas. Nustatyti Kauno miesto gyventojų motyvacijos bei įpročių rūšiuoti atliekas sąsajas su Eko taškų įkūrimu. Metodika: Tyrimas buvo atliktas 2013 m. lapkričio – 2014 m. vasario mėnesiais. Anoniminės anketos būdu apklausti 271 Kauno miesto gyventojai. Statistinė duomenų analizė buvo atlikta naudojant statistinį programinį paketą SPSS v20. Surinktų duomenų skirtumų patikimumas buvo vertinamas chi kvadrato (χ2) kriterijumi. Statistinė išvada laikyta patikima, kai p < 0,05. Rezultatai. Kauno miesto gyventojų rūšiavimo motyvacijos veiksniai: ekonominės naudos (patogumo) - 48 proc., aplinkos apsaugos (vertybiniai) - 33 proc. ir socialinio priklausomumo (bendruomeniškumo) – 19 proc. (p<0,05). Daugiausia gyventojai atskiria: stiklo taros (99,3 proc.), makulatūros (62,3 proc.) ir PET gėrimų taros (55,7 proc.) (p<0,05). Eko taškais naudojasi - 62,8 proc. visų rūšiuojančių stiklo tarą, 54,3 proc. – rūšiuojančių PET gėrimų tarą. Rūšiavimui sudarytas galimybes vertino puikiai 79,9 proc. makulatūrai šalinti naudojančių Eko taškus, o specialiuosius konteinerius tik 19,0 proc., 86,4 proc. stiklo tarai šalinti naudojančių Eko tašką, o specialiuosius konteinerius tik 33,3 proc. (p<0,05). 70,8 proc. kiekvieną dieną ir 78,9 proc. kiekvieną savaitę atskiriantiems stiklo tarą, 78,2 proc. kartą į savaitę... [toliau žr. visą tekstą] / Aim of the study. To evaluate interfaces between waste sorting motivations of Kaunas city residents and the establishment of Eco points. Objectives: To evaluate waste sorting motivations and habits of Kaunas city residents; to determine the interfaces between Kaunas residents’ motivations and habits related to waste sorting and establishment of the Eco points. Methodology: The study has been started on November, 2013 and completed February, 2014. 271 of Kaunas city residents were interviewed by Anonymous questionnaires. Statistical analysis was performed using statistical software package SPSS v20. The reliability of the collected data differences was evaluated by chi-square (χ2) criteria. Statisted result is reliable if the p-value< 0.05. Results. Waste sorting motivation factors of Kaunas city residents: economical benefits (convenience) - 48%, environmental protection values – 33%. and social belonging (community factor) – 19% (p < 0.05). Mostly residents sort this waste: glass containers (99.3%), waste paper (62.3%) and PET beverage containers (55.7%) (p < 0.05). Conditions for waste sorting were evaluated as perfect by: 79.9% of those who sort waste-paper by using Eco points and only 19.0% of those who sort waste-paper by using special containers; 86.4% of residents who sort glass containers by using Eco points and only 33.3% of those who sort glass containers by using special containers (p < 0.05). 70.8% of respondents sorted glass containers every day and 78.9% were... [to full text]

A aquisição experimental de sinais neuronais é um dos principais avanços da neurociência. Por meio de observações da corrente e do potencial elétricos em uma região cerebral, é possível entender os processos fisiológicos envolvidos na geração do potencial de ação, e produzir modelos matemáticos capazes de simular o comportamento de uma célula neuronal. Uma prática comum nesse tipo de experimento é obter leituras a partir de um arranjo de eletrodos posicionado em um meio compartilhado por diversos neurônios, o que resulta em uma mistura de sinais neuronais em uma mesma série temporal. Este trabalho propõe um modelo linear de tempo discreto para o sinal produzido durante o disparo do neurônio. Os coeficientes desse modelo são calculados utilizando-se amostras reais dos sinais neuronais obtidas in vivo. O processo de modelagem concebido emprega técnicas de identificação de sistemas e processamento de sinais, e é dissociado de considerações sobre o funcionamento biofísico da célula, fornecendo uma alternativa de baixa complexidade para a modelagem do disparo neuronal. Além disso, a representação por meio de sistemas lineares permite idealizar um sistema inverso, cuja função é recuperar o sinal original de cada neurônio ativo em uma mistura extracelular. Nesse contexto, são discutidas algumas soluções baseadas em filtros adaptativos para a simulação do sistema inverso, introduzindo uma nova abordagem para o problema de separação de spikes neuronais. / The experimental acquisition of neuronal signals is a major advance in neuroscience. Through observations of electric current and potential in a brain region, it is possible to understand the physiological processes involved in the action potential generation, and create mathematical models capable of simulating the behavior of the neuronal cell. A common practice in this kind of experiment is to obtain readings from an array of electrodes positioned in a medium shared by several neurons, which results in a mixture of neuronal signals in the same time series. This work proposes a discrete-time linear model of the neuronal signal during the firing of the cell. The coefficients of this model are estimated using real samples of the neuronal signals obtained in vivo. The conceived modeling process employs system identification and signal processing concepts, and is dissociated from any considerations about the biophysical function of the neuronal cell, providing a low-complexity alternative to model the neuronal spike. In addition, the use of a linear representation allows the idealization of an inverse system, whose main purpose is to recover the original signal of each active neuron in a given extracellular mixture. In this context, some solutions based on adaptive filters are discussed for the inverse model simulation, introducing a new approach to the problem of neuronal spike separation.