The use of single-chip computers at primary schools

Katedra informačních technologií a technické výchovyFaculty of EducationPedagogická fakult

THERMAL COMFORT PROPERTIES OF FUNCTIONAL CLOTHING FOR GOLFERS

41 s. :(40 040 znaků) :il., tab., grafy +CD ROMTématem této bakalářské práce jsou tepelně komfortní vlastnosti sportovního oblečení. Cílem práce je zjistit a vyhodnotit vlastnosti sportovních trikotů pro hru golf. Za pomoci měření na přístrojích PERMETEST a ALAMBETY jsou zjišťovány hodnoty parametrů důležitých pro vyhodnocení tepelně - komfortních vlastností vzorků. Teoretická část práce je zaměřena na použité materiály ve vzorcích a oděvní komfort. V praktické části práce se nachází výsledky měření a následné vyhodnocení vzorků a měřené vlastností poskytnutých vzorků

Doprinos procjeni svojstava toplinske izolacije jednostrukoga i dvostrukog prozora na drvenoj kući

The paper describes the method for the determination and evaluation of thermal insulation properties of various types of windows made from pine wood. The method has been used for a simple and a double window that are parts of a log house in the Czech Republic. Both windows are located in one room. The method for the evaluation of thermal insulation properties consists in determining the boundary conditions of the frame and sash temperature from the interior and exterior. Additionally, the temperature of the window surroundings was measured, at the building envelope. The boundary conditions were measured by different sensors to ensure an accurate setting of the thermographic camera. Based on the values determined, the method calculates the heat transfer coefficient and the temperature factor of the internal surface. Then, the thermal insulation properties of integrated windows can be determined and compared. The priority of this measurement was a basic comparison of thermal insulation properties of two different types of windows located in a log house. This measurement will serve as the basis for a comparison of thermal insulation properties of the same types of windows in different log houses located in regions with different weather conditions. After a comprehensive comparison, based on the results, the right type of window can be recommended with respect to the location of the log house in question.U radu je opisana metoda određivanja i procjene svojstava toplinske izolacije različitih tipova prozora od borovine. Metoda je primijenjena za ispitivanje svojstava jednostrukoga i dvostrukog prozora postavljenih na drvenoj kući u Češkoj Republici. Oba se prozora nalaze na istoj prostoriji. Metoda procjene svojstava toplinske izolacije sastoji se od određivanje graničnih uvjeta prozora i doprozornika s unutarnje i vanjske strane. Usto, izmjerena je temperatura oko prozora u ovojnici kuće. Granični su uvjeti izmjereni različitim senzorima kako bi se osigurala točna postavka termografske kamere. Na temelju utvrđenih vrijednosti uz pomoć spomenute metode izračuna se koeficijent prolaska topline i toplinski faktor unutarnje površine. Nakon toga se mogu odrediti i usporediti svojstva toplinske izolacije ugrađenih prozora. Prioritet ovog mjerenja bila je usporedba svojstava toplinske izolacije dvaju različitih tipova prozora na drvenoj kući. Provedeno će mjerenje poslužiti kao osnova za usporedbu svojstava toplinske izolacije istih tipova prozora na različitim drvenim kućama koje se nalaze na lokacijama s različitim vremenskim uvjetima. Nakon složene usporedbe na temelju rezultata može se preporučiti odgovarajući tip prozora s obzirom na lokaciju drvene kuće

Measuring individual identity information in animal signals: Overview and performance of available identity metrics

Identity signals have been studied for over 50 years but, and somewhat remarkably, there is no consensus as to how to quantify individuality in animal signals. While there is a variety of different metrics to quantify individuality, these methods remain un‐validated and the relationships between them unclear. We contrasted three univariate and four multivariate identity metrics (and their different computational variants) and evaluated their performance on simulated and empirical datasets. Of the metrics examined, Beecher's information statistic (HS) performed closest to theoretical expectations and requirements for an ideal identity metric. It could be also easily and reliably converted into the commonly used discrimination score (and vice versa). Although Beecher's information statistic is not entirely independent of study sampling, this problem can be considerably lessened by reducing the number of parameters or by increasing the number of individuals in the analysis. Because it is easily calculated, has superior performance, can be used to quantify identity information in single variable or in a complete signal and because it indicates the number of individuals who can be discriminated given a set of measurements, we recommend that individuality should be quantified using Beecher's information statistic in future studies. Consistent use of Beecher's information statistic could enable meaningful comparisons and integration of results across different studies of individual identity signals.Grant NCN 2015/19/P/NZ8/0250

Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production

Vocal expression of emotions has been observed across species and could provide a non-invasive and reliable means to assess animal emotions. We investigated if pig vocal indicators of emotions revealed in previous studies are valid across call types and contexts, and could potentially be used to develop an automated emotion monitoring tool. We performed an analysis of an extensive and unique dataset of low (LF) and high frequency (HF) calls emitted by pigs across numerous commercial contexts from birth to slaughter (7414 calls from 411 pigs). Our results revealed that the valence attributed to the contexts of production (positive versus negative) affected all investigated parameters in both LF and HF. Similarly, the context category affected all parameters. We then tested two different automated methods for call classification; a neural network revealed much higher classification accuracy compared to a permuted discriminant function analysis (pDFA), both for the valence (neural network: 91.5%; pDFA analysis weighted average across LF and HF (cross-classified): 61.7% with a chance level at 50.5%) and context (neural network: 81.5%; pDFA analysis weighted average across LF and HF (cross-classified): 19.4% with a chance level at 14.3%). These results suggest that an automated recognition system can be developed to monitor pig welfare on-farm.publishedVersio

Expression of emotional arousal in two different piglet call types

Humans as well as many animal species reveal their emotional state in their voice. Vocal features show strikingly similar correlation patterns with emotional states across mammalian species, suggesting that the vocal expression of emotion follows highly conserved signalling rules. To fully understand the principles of emotional signalling in mammals it is, however, necessary to also account for any inconsistencies in the way that they are acoustically encoded. Here we investigate whether the expression of emotions differs between call types produced by the same species. We compare the acoustic structure of two common piglet calls—the scream (a distress call) and the grunt (a contact call)—across three levels of arousal in a negative situation. We find that while the central frequency of calls increases with arousal in both call types, the amplitude and tonal quality (harmonic-to-noise ratio) show contrasting patterns: as arousal increased, the intensity also increased in screams, but not in grunts, while the harmonicity increased in screams but decreased in grunts. Our results suggest that the expression of arousal depends on the function and acoustic specificity of the call type. The fact that more vocal features varied with arousal in scream calls than in grunts is consistent with the idea that distress calls have evolved to convey information about emotional arousal

Hard color-singlet exchange in dijet events in proton-proton collisions at root s=13 TeV

Events where the two leading jets are separated by a pseudorapidity interval devoid of particle activity, known as jet-gap-jet events, are studied in proton-proton collisions at root s = 13 TeV. The signature is expected from hard color-singlet exchange. Each of the highest transverse momentum (p(T)) jets must have p(T)(jet) > 40 GeV and pseudorapidity 1.4 0.2 GeV in the interval vertical bar eta vertical bar < 1 between the jets are observed in excess of calculations that assume only color-exchange. The fraction of events produced via color-singlet exchange, f(CSE), is measured as a function of p(T)(jet2), the pseudorapidity difference between the two leading jets, and the azimuthal angular separation between the two leading jets. The fraction f(CSE) has values of 0.4-1.0%. The results are compared with previous measurements and with predictions from perturbative quantum chromodynamics. In addition, the first study of jet-gap-jet events detected in association with an intact proton using a subsample of events with an integrated luminosity of 0.40 pb(-1) is presented. The intact protons are detected with the Roman pot detectors of the TOTEM experiment. The f(CSE) in this sample is 2.91 +/- 0.70(stat)(-1.01)(+1.08)(syst) times larger than that for inclusive dijet production in dijets with similar kinematics.Peer reviewe

Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines

The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE

Strategy and analysis of selected micro company in the field of joinery

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