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Variabilidade de portaenxertos de pessegueiro: efeitos sobre o crescimento inicial dos seedlings e nos caracteres bioagronômicos das cultivares Chimarrita e Maciel. / Variability of peach rootstocks: effect on the initial growth of seedlings and cultivars characters bioagronômicos Chimarrita and Maciel.Almeida, Cíntia Borges 26 March 2013 (has links)
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Previous issue date: 2013-03-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / As razões que justificam o uso de portaenxertos na fruticultura são a possibilidade de usar cultivares resistentes à pragas e doenças de solo, que induzam maior produção e a adaptação das cultivares copa. Sendo assim, é imprescindível conhecer as características bioagronômicas das diferentes combinações cultivar copa/portaenxerto, a fim de proporcionar melhor produção e qualidade de frutos, e com maior eficiência produtiva. O presente trabalho teve como objetivo avaliar através de caracteres bioagronômicos, o vigor, a produtividade e a qualidade dos frutos de duas cultivares de pessegueiro enxertadas sobre portaenxertos distintos, em condições de cultivo da região de Pelotas/RS. Além disso, pretende identificar a variabilidade de seedlings de portaenxertos de pessegueiro através da influência da
estratificação na germinação, emergência e crescimento inicial das plântulas em casa de vegetação e à campo. Foram realizados dois experimentos, ambos divididos em dois ensaios. Experimento 1- o ensaio 1 foi conduzido a campo com cultivar copa Chimarrita (plantada em 2003) enxertada sobre ‘Okinawa clone 1’, ‘Tsukuba 1’, ‘Capdeboscq’, ‘GF 305’ e ‘Aldrighi’. Foram avaliados diâmetro do tronco e altura das
plantas, número de frutos por planta, produção por planta, massa média dos frutos, produtividade estimada, eficiência produtiva, classificação dos frutos por categoria (I, II e III) e teor de sólidos solúveis. Não registrou-se diferenças significativas por efeito dos portaenxertos quanto ao desenvolvimento vegetativo, porém o portaenxerto ‘Okinawa clone 1’ proporcionou maior rendimento por hectare na cv. ‘Chimarrita’, na região de Pelotas/RS. O ensaio 2 também foi conduzido à campo com a cultivar copa Maciel (plantada em 2005) enxertada sobre ‘Aldrighi’, ‘Indústria’, ‘Okinawa clone 12’, ‘Capdeboscq’, ‘Nemaguard’, ‘Tsukuba 1’, ‘Okinawa clone 1’, e ‘Rubira’. O trabalho foi realizado nas mesmas condições do ensaio 1, com as mesmas variáveis respostas. As plantas quando enxertadas com o portaenxerto ‘Aldrighi’, mostraramse mais produtivas. Com a combinação ‘Maciel’/’Okinawa clone 1’ obteve-se frutos
com maior teor de sólidos solúveis. Experimento 2- o ensaio 1 constou da estratificação a 4ºC, por 60 dias, de sementes de 10 portaenxertos de pessegueiro, para avaliação da porcentagem de germinação. A seguir, realizou-se a semeadura em casa de vegetação, e após 30 dias avaliou-se a porcentagem de emergência e 6 desenvolvimento dos seedlings dos 10 genótipos [‘Umecha’, ‘Tsukuba’ (clones 1, 2 e
3), ‘Okinawa roxo’, ‘Seleção NR-0170302’, Okinawa F3’, ‘Flordaguard’, ‘Okinawa clone11’ e ‘Tsukuba F3’]. Não verificou-se diferenças no percentual de germinação e emergência dos 10 portaenxertos e as plântulas de ‘Okinawa clone 11’ e ‘Tsukuba F3’ foram as que tiveram o menor vigor inicial nos primeiros 30 dias após a emergência, em casa de vegetação. O ensaio 2 foi conduzido a partir de 7 dos 10
portaenxertos do ensaio 1 [Tsukuba (clones 1, 2 e 3), ‘Seleção NR-0170302’, Okinawa F3, Okinawa clone11 e Tsukuba F3], realizado à campo no Centro Agropecuário da Palma de Junho a Janeiro de 2013. Avaliou-se o diâmetro de tronco e altura das plântulas. Pode-se concluir que os seedlings dos portaenxertos ‘Tsukuba 1’ e ‘Seleção NR-0170302’ são os que apresentam o maior vigor inicial a campo, em relação aos demais portaenxertos avaliados. / The reasons that justify the use of rootstocks on fruit are the possibility to use to use resistant cultivars of to pests and soil diseases, which induce higher production and adaptation of cultivars Cup. Therefore, it is essential to know the characteristics of different combinations bioorganic scion / rootstock in order to provide improved production and fruit quality and greater production efficiency. This study aimed to
evaluate through bioagronômicos characters, vigor, yield and fruit quality of two peach cultivars grafted on rootstocks distinct growing conditions in the region of Pelotas / RS. Furthermore to identify the variability of seedlings of peach rootstocks through the influence of stratification on germination, emergence and early seedling growth in greenhouse and field. Two experiments were conducted, both divided into two trials. Experiment 1 – test 1 was conducted in the field with scion Chimarrita (planted in 2003) grafted on 'Okinawa clone 1', 'Tsukuba 1', 'Capdeboscq', 'GF 305' and 'Aldrighi'. Were evaluated trunk diameter and plant height, number of fruits per plant, yield per plant, average fruit weight, estimated productivity, production efficiency, fruit classification by category (I, II and III) and soluble solids content. No significant differences were recorded for the effect of rootstocks on the vegetative growth, but the rootstock 'Okinawa clone 1' provided the highest yield per hectare in the cv. 'Chimarrita', in Pelotas / RS. The second test was also conducted on the field with the scion Maciel (planted in 2005) grafted on 'Aldrighi', 'Industry', 'Okinawa clone 12', 'Capdeboscq', 'Nemaguard', 'Tsukuba 1', 'Okinawa clone 1 ', and' Rubira '. The work was performed under the same test conditions 1, with the same response variables. The plants when the rootstock grafted with 'Aldrighi', were more productive. With the combination 'Maciel' / 'Okinawa clone 1' yielded fruit with higher soluble solids content. Experiment 2 - the first test consisted of stratification at 4 º C for 60 days, the seeds of 10 peach rootstocks to evaluate the germination percentage. The following took place seeding in the greenhouse, and after 30 days, the percentage of emergence and development of seedlings of 10 genotypes ['Umecha', 'Tsukuba' (clones 1, 2 and 3), 'Okinawa purple ',' Selection NR-0170302 ', Okinawa F3', 'Flordaguard', 'Okinawa clone11' and 'Tsukuba F3']. No differences were found in the percentage of germination and emergence of the 10 rootstocks and seedlings of 'Okinawa clone 11' and 'Tsukuba F3' were those who had the lowest initial force in the first 30 days after emergence in the greenhouse. Test 2 was conducted from 7 of the 10 rootstocks test 1 [Tsukuba (clones 1, 2 and 3), Selection NR-0170302 ', F3 Okinawa, Okinawa and clone11 Tsukuba F3], held the field at the Agricultural Center 8 Palma June to January 2013. We evaluated the trunk diameter and height of seedlings. It can be concluded that the seedlings of rootstocks 'Tsukuba 1' and 'Selection NR-0170302' are those with the highest initial force field, compared to the other rootstocks evaluated.
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以詞性組合為基礎之中文語言特徵研究 / A Study of Part-of-Speech Pair-based Language Features in Chinese Texts江易倫, Jiang, Yi Lun Unknown Date (has links)
在作者歸屬的研究中,語言特徵的選擇一直是很重要的一環,因為會反映到整個預測結果表現。大多數常用的語言特徵雖然在分類上表現優異,像是高頻詞彙、n-grams、及標點符號等,但這些語言特徵內的詞組卻無法解釋分類間的因果關係及相互差異。為了解決這問題,本論文提出詞性組合、否定程度組合及情態詞組合共3種具有語言學意義的語言特徵作為輔助驗證,並以雷震這位作者的文本為基準,探討在「同主題不同作者」及「同作者不同主題」兩個研究方向上是否適用。本論文將會使用隨機森林演算法建立分類模型,使用OOB錯誤率評估分類模型分類表現,並透過重要特徵數值找出各詞組作為決策點的權重。最後希望能從分類規則中,找出不同作者以及不同類型間語言特徵的獨特性詞組並做解釋。 / In the study of authorship attribution, the choice of language features have always been a very important part because it reflects the performance of the whole prediction. Most of the commonly used language features are excellent in classification, such as word frequencies, n-grams, and punctuation, but the phrases within these language features can not explain the causal relationship between categories and the differences between them. In order to solve this problem, this paper proposes 3 kinds of linguistic meaning as a auxiliary verification, and based on the Lei-Chen 's text, discussed "different authors with same topics" and "different genres with same author" is applied on the two research directions. In this paper, we will use the random forest algorithm to establish the classification model, use the OOB error rate assessment classification model classification performance, and through the important feature values to find the weight of each phrase as a decision point. Finally, we hope to find out unique phrases of different authors and different genres of language features from the classification rules and explain them.
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AN ANALYSIS OF FACTORS INFLUENCING THE SUCCESS OF SOCIAL NETWORKING WEBSITESOLUMUYIWA DELE, OLANIYAN January 2017 (has links)
No description available.
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Segmentation of Clouds in Satellite Images / Klassificering av Moln i SatellitbilderGasslander, Maja January 2016 (has links)
The usage of 3D modelling is increasing fast, both for civilian and military areas, such as navigation, targeting and urban planning. When creating a 3D model from satellite images, clouds canbe problematic. Thus, automatic detection ofclouds inthe imagesis ofgreat use. This master thesis was carried out at Vricon, who produces 3D models of the earth from satellite images.This thesis aimed to investigate if Support Vector Machines could classify pixels into cloud or non-cloud, with a combination of texture and color as features. To solve the stated goal, the task was divided into several subproblems, where the first part was to extract features from the images. Then the images were preprocessed before fed to the classifier. After that, the classifier was trained, and finally evaluated.The two methods that gave the best results in this thesis had approximately 95 % correctly classified pixels. This result is better than the existing cloud segmentation method at Vricon, for the tested terrain and cloud types.
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Apprentissage de modèles de mélange à large échelle par Sketching / Sketching for large-scale learning of mixture modelsKeriven, Nicolas 12 October 2017 (has links)
Les bases de données modernes sont de très grande taille, parfois divisées et distribuées sur plusieurs lieux de stockage, ou encore sous forme de flux de données : ceci soulève de nouveaux défis majeurs pour les méthodes d’apprentissage statistique. Une des méthodes récentes capable de s’adapter à ces situations consiste à d’abord compresser les données en une structure appelée sketch linéaire, puis ensuite de réaliser la tâche d’apprentissage en utilisant uniquement ce sketch, ce qui est extrêmement rapide si celui-ci est de petite taille. Dans cette thèse, nous définissons une telle méthode pour estimer un modèle de mélange de distributions de probabilités à partir des données, en utilisant uniquement un sketch de celles-ci. Ce sketch est défini en s’inspirant de plusieurs notions venant du domaine des méthodes à noyaux : le plongement par noyau moyen et les approximations aléatoires de noyaux. Défini comme tel, le sketch correspond à des mesures linéaires de la distribution de probabilité sous-jacente aux données. Ainsi nous analysons le problème en utilisant des outils venant du domaine de l’acquisition comprimée, dans lequel un signal est mesuré aléatoirement sans perte d’information, sous certaines conditions. Nous étendons certains résultats de l’acquisition comprimée à la dimension infinie, donnons des conditions génériques garantissant le succès de notre méthode d’estimation de modèles de mélanges, et les appliquons à plusieurs problèmes, dont notamment celui d’estimer des mélanges de distributions stables multivariées, pour lequel il n’existait à ce jour aucun estimateur. Notre analyse est basée sur la construction d’opérateurs de sketch construits aléatoirement, qui satisfont une Propriété d’Isométrie Restreinte dans l’espace de Banach des mesures finies signées avec forte probabilité. Dans une second partie, nous introduisons un algorithme glouton capable heuristiquement d’estimer un modèle de mélange depuis un sketch linéaire. Cet algorithme est appliqué sur données simulées et réelles à trois problèmes : l’estimation de centres significatifs dans les données, pour lequel on constate que la méthode de sketch est significativement plus rapide qu’un algorithme de k-moyennes classique, l’estimation de mélanges de Gaussiennes, pour lequel elle est plus rapide qu’un algorithme d’Espérance-Maximisation, et enfin l’estimation de mélange de distributions stables multivariées, pour lequel il n’existait à ce jour, à notre connaissance, aucun algorithme capable de réaliser une telle tâche. / Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. Furthermore, new challenges arise from modern database architectures, such as the requirements for learning methods to be amenable to streaming, parallel and distributed computing. In this context, an increasingly popular approach is to first compress the database into a representation called a linear sketch, that satisfies all the mentioned requirements, then learn the desired information using only this sketch, which can be significantly faster than using the full data if the sketch is small. In this thesis, we introduce a generic methodology to fit a mixture of probability distributions on the data, using only a sketch of the database. The sketch is defined by combining two notions from the reproducing kernel literature, namely kernel mean embedding and Random Features expansions. It is seen to correspond to linear measurements of the underlying probability distribution of the data, and the estimation problem is thus analyzed under the lens of Compressive Sensing (CS), in which a (traditionally finite-dimensional) signal is randomly measured and recovered. We extend CS results to our infinite-dimensional framework, give generic conditions for successful estimation and apply them analysis to many problems, with a focus on mixture models estimation. We base our method on the construction of random sketching operators such that some Restricted Isometry Property (RIP) condition holds in the Banach space of finite signed measures with high probability. In a second part we introduce a flexible heuristic greedy algorithm to estimate mixture models from a sketch. We apply it on synthetic and real data on three problems: the estimation of centroids from a sketch, for which it is seen to be significantly faster than k-means, Gaussian Mixture Model estimation, for which it is more efficient than Expectation-Maximization, and the estimation of mixtures of multivariate stable distributions, for which, to our knowledge, it is the only algorithm capable of performing such a task.
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Lärares tankar om digitala verktyg och dess användning i matematikundervisningen : En intervjustudie med lärare i årskurserna 4-6 / Teachers' thoughts about digital tools and their use in mathematics teaching : An interview study with teachers in grades 4-6Engstrand, Sebastian, Hanberg, Henrik January 2018 (has links)
Syftet med detta självständiga arbete är att se hur fyra lärare anser sig arbeta med digitala verktyg i praktiken, samt deras åsikter kring dessa. Vi tolkade och bearbetade data genom att använda oss av semistrukturerade intervjuer, samt ramverket Structuring Features of Classroom Practice. Ramverket delar in data i fem kategorier, som sedan tolkas till ett resultat. Resultaten visar att lärarna anser sig arbeta med digitala verktyg på olika sätt, alla berättade att de använder verktygen som presentationsverktyg och för att få en varierad undervisning. Lärarna framförde att de ser digitala verktyg på ett positivt sätt, men uttryckte också att verktygen har brister. Våra slutsatser i arbetet är att (1) lärarna anser att deras arbete blivit mer effektivt med digitala verktyg. (2) lärarna anser att det är enklare att anpassa, individualisera och hitta mer uppgifter med digitala verktyg. En av de brister samtliga lärare påtalade, var att de inte har tillräckligt antal av de digitala verktygen. Lärarna tar dock även upp brist på hårdvara som ett problem. Bristen på hårdvara gör att det blir svårare att använda de digitala verktygen och gör att arbetet inte är lika flexibelt och anpassningsbart.
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Open Innovation Software : A study of feature-related problems in idea management systemsCedernaes, Christopher, Eriksson, Kristoffer January 2012 (has links)
With the transition from closed to open innovation in recent years, the next trend for companies has been to bring in new ideas from external stakeholders using innovation tools, known as Open Innovation Software (OIS). The most common type of OIS, called idea management systems, allows participants to submit, evaluate, and engage in discussions around ideas. However, implementing software to support innovation is not a sure success and potential problems may arise. The purpose of this thesis is to research problems within features in current idea management systems, and to provide guidelines that suggest ways that may eliminate or reduce the impact of the particular problems. Interviews were conducted with representatives from five different idea management systems. The respondents demonstrated their systems, which made it possible to gather features and to learn about problems that exist in these systems. Five problems within features were found; these were related to engagement, duplicates, idea evaluation, complexity, and bias. Numerous recommendations regarding how the impact of these problems may be reduced have been identified. The findings of this thesis show that Problems with engagement is best dealt with using features that delivers better feedback in order to give more motivation to the participants. As for managing duplicates, it is recommended to implement a feature that suggests similar ideas during the idea submission phase. It was found that allowing users to have an unlimited amount of votes should be avoided. To prevent bias, managers should be careful of having features that displays idea ratings before users have casted their vote, features that allow users to edit their casted vote unless an idea has been edited, and for instance features that show ideas in order of popularity.
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Neuropsychology of Semantic Memory: Theories, Models, and TestsLaurila, Linda January 2007 (has links)
Semantic memory is part of the long-term memory system, and there are several theories concerning this type of memory. Some of these will be described in this essay. There are also several types of neuropsychological semantic memory deficits. For example, test results have shown that patients tend to have more difficulties naming living than nonliving things, and one probable explanation is that living things are more dependent on sensory than on functional features. Description of concrete concepts is a new test of semantic memory, in which cueing is used, both to capture the maximum performance of patients, and to give insight into the access versus storage problem. The theoretical ideas and empirical results relating to this new test will be described in detail. Furthermore, other tests of semantic memory that have been commonly used will also be briefly described. In conclusion semantic memory is a complex cognitive system that needs to be studied further.
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Investigating Gaze Attraction to Bottom-Up Visual Features for Visual Aids in GamesSjöblom, Mattias January 2016 (has links)
Context. Video games usually have visual aids guiding the players in 3D-environments. The designers need to know which visual feature is the most effective in attracting a player's gaze and what features are preferred by players as visual aid. Objectives. This study investigates which feature of the bottom-upvisual attention process attracts the gaze faster. Methods. With the use of the Tobii T60 eye tracking system, a user study with 32 participants was conducted in a controlled environment. An experiment was created where each participant looked at a slideshow consisting of 18 pictures with 8 objects on each picture. One object per picture had a bottom-up visual feature applied that made it stand out as different. Video games often have a goal or a task and to connect the experiment to video games a goal was set. This goal was to find the object with the visual feature applied. The eye tracker measured the gaze while the participant was trying to find the object. A survey to determine which visual feature was preferredby the players was also made. Results. The result showed that colour was the visual feature with the shortest time to attract attention. It was closely followed by intensity,motion and a pulsating highlight. Small size had the longest attraction time. Results also showed that the preferred visual feature for visual aid by the players was intensity and the least preferred was orientation. Conclusions. The results show that visual features with contrast changes in the texture seems to draw attention faster, with colour the fastest, than changes on the object itself. These features were also the most preferred as visual aid by the players with intensity the most preferred. If this study was done on a larger scale within a 3D-environment, this experiment could show promise to help designers in decisions regarding visual aid in video games.
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Comparison between Native and Cross-Platform AppsSirvent Mazarico, Carlos, Campillo Carrera, Marc January 2015 (has links)
The primary purpose of this study is to determine in which technology we have to develop an application depending on the features that we would like to include, in order to deliver the best value for a good price to the customers. Consequently, in this research we have described the capabilities, performance and limitations that we have found while using the different technologies. The empirical part of this study was conducted in the first semester of 2014/2015 at the Linnaeus University in Växjö (Sweden), supported by Softwerk Company. In conclusion, the thesis shows that the user experience with native apps is always better than using the web-based technologies, especially using maps, although the time and effort spent to develop them is higher. Cross-platform solutions can be very useful for simple apps, and also if the developer does not have a lot of time to develop them. The problem with this last kind of applications is that the performance is less than the native ones.
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