Global ETD Search

21	A ROUTING PROTOCOL AND ROUTING ALGORITHM FOR SPACE COMMUNICATION BANTAN, NOUMAN 09 March 2007 (has links) No description available. Computer Science ROUTER SOSPF LSA SOSPF router ROUTING NEIGHBORING ROUTERS ROUTERS LIST
22	Návrh řadicího mechanismu bezprodlevové převodovky / Zeroshifting Transmission Mechanism Design Mičola, Ivo January 2014 (has links) This thesis deals with no delay gear shifting. The first part is devoted to theoretical introduction. The next part describes comprehensive approach to vehicle dynamics, the choice of gear ratios, the use of reverse engineering to model the interior of the gear housing and the actual structural design of the internal components and strength analysis. Moreover, this work should fill the gap in the available literature which is publicly accessible.
23	Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum / Distributional Representations of Words for Effective Information Retrieval : Information Retrieval in Customer Support Forums Lachmann, Tim, Sabel, Johan January 2017 (has links) I takt med att informationsmängden ökar i samhället ställs högre krav på mer förfinade metoder för sökning och hantering av information. Att utvinna relevant data från företagsinterna system blir en mer komplex uppgift då större informationsmängder måste hanteras och mycket kommunikation förflyttas till digitala plattformar. Metoder för vektorbaserad ordinbäddning har under senare år gjort stora framsteg; i synnerhet visade Google 2013 banbrytande resultat med modellen Word2vec och överträffade äldre metoder. Vi implementerar en sökmotor som utnyttjar ordinbäddningar baserade på Word2vec och liknande modeller, avsedd att användas på IT-företaget Kundo och för produkten Kundo Forum. Resultaten visar på potential för informationssökning med markant bättre täckning utan minskad precision. Kopplat till huvudområdet informationssökning genomförs också en analys av vilka implikationer en förbättrad sökmotor har ur ett marknads- och produktutvecklingsperspektiv. / As the abundance of information in society increases, so does the need for more sophisticated methods of information retrieval. Extracting information from internal systems becomes a more complex task when handling larger amounts of information and when more communications are transferred to digital platforms. Recent years methods for word embedding in vector space have gained traction. In 2013 Google sent ripples across the field of Natural Language Processing with a new method called Word2vec, significantly outperforming former practices. Among different established methods for information retrieval, we implement a retrieval method utilizing Word2vec and related methods of word embedding for the search engine at IT company Kundo and their product Kundo Forum. We demonstrate the potential to improve information retrieval recall by a significant margin without diminishing precision. Coupled with the primary subject of information retrieval we also investigate potential market and product development implications related to a different kind of search engine. word2vec fasttext glove LSI LSA word embeddings information retrieval search engine machine learning neural networks natural language processing NLP distributional representations word2vec fasttext glove LSI LSA ordinbäddning informationssökning sökmotor maskininlärning språkteknologi neurala nätverk distributionella representationer Computer Sciences Datavetenskap (datalogi)
24	英文文法關係之型態探勘 / Pattern Mining on English Grammatical Relations 蔡吉章, Tsai, Chi Chang Unknown Date (has links) 一些研究發現常見的ESL(English as a Second Language)學習者在英語寫作時的錯誤為：用字不適當、動詞的形式不正確、句子缺少主詞、以及動詞時態錯誤。這些錯誤主要是起因於：字彙之不足、不清楚文法概念、本身母語的干擾。為了改善ESL學習者的寫作。我們希望能從文法關係的資訊來提供協助。目前，研究文法關係大多著重於字詞構成的單一文法關係，然而字詞在句中可能同時具備了不只一種文法關係。在我們的研究中，我們先發展文法關係樣式辨識系統。從句子中利用此系統提供使用者可搭配的文法關係，以了解可供使用的對應字詞。對應字詞可以輔助學習者適當地使用此關鍵字。此外設計使用者介面供查詢文法關係。以上，我們利用文法關係與搭配字詞來提供使用者英語寫作上的協助。而找尋樣式的做法，我們提出關聯法則和LSA(Latent Semantic Analysis)來實作。 / Some study found some common ESL (English as a Second Language) learners English Writing Error: improper use of the word, the verb form is not correct, the sentence lack of subject and verb tense errors. These errors are mainly due to: lack of vocabulary, grammar concept is not clear, the mother-tongue interference. In order to improve the ESL writing, we hope that the information from the grammatical relation to provide assistance. At present, the studies of grammatical relation mostly emphasize the word consisting of a single grammatical relation. However, words in the sentence may also have more than one grammatical relation. In our study, we first develop grammatical relation pattern recognition system. From the sentence using the system provides users with the grammatical relation, in order to understand the availability of the corresponding words. The corresponding words can help learners make appropriate use of this keyword. In addition the design of the user interface provides querying grammatical relation. This work makes use of grammatical relation and collocation in order to provide users with the assistance of English writing. And look for patterns of practice, we have proposed association rules and LSA (Latent Semantic Analysis) to implement. 關聯法則文法樣式文法關係 Association rule Grammatical patterns Grammatical relations LSA
25	Visualization of Knowledge Spaces to Enable Concurrent, Embedded and Transformative Input to Knowledge Building Processes Teplovs, Christopher 01 September 2010 (has links) This thesis focuses on the creation of a systems architecture to help inform development of next generation knowledge-building environments. The architectural model consists of three components: an infrastructure layer, a discourse layer, and a visualization layer. The Knowledge Space Visualizer (KSV), which defines the top visualization layer, is a prototypic system for showing reconstructed representations of discourse-based artifacts and facilitating assessment in light of patterns of interactivity of participants and their ideas. The KSV uses Latent Semantic Analysis to extend techniques from Social Network Analysis, making it possible to infer relationships among note contents. Thus idea networks can be studied in conjunction with social networks in online discourse. Further, benchmark corpora can be used to determine knowledge advances, and systems of interactivity leading to them. Results can then provide feedback to students and teachers to support them in obtaining continually higher level achievements. In addition to visual representations, the KSV provides quantitative network metrics such as degree and density. Data drawn from 9- and 10-year-old students working on a six-week unit on optics were used to illustrate some of the functionality of the KSV. Three studies show ways in which new visualizations can be used: (a) to highlight relationships among notes, (b) as a way of tracking the development of discourse over time, and (c) as an assessment tool. Implications for the design of knowledge building environments, assessment tools, and design-based research are discussed. knowledge building visualization assessment Knowledge Forum latent semantic analysis knowledge space visualizer KSV LSA systems model 0710
26	Visualization of Knowledge Spaces to Enable Concurrent, Embedded and Transformative Input to Knowledge Building Processes Teplovs, Christopher 01 September 2010 (has links) This thesis focuses on the creation of a systems architecture to help inform development of next generation knowledge-building environments. The architectural model consists of three components: an infrastructure layer, a discourse layer, and a visualization layer. The Knowledge Space Visualizer (KSV), which defines the top visualization layer, is a prototypic system for showing reconstructed representations of discourse-based artifacts and facilitating assessment in light of patterns of interactivity of participants and their ideas. The KSV uses Latent Semantic Analysis to extend techniques from Social Network Analysis, making it possible to infer relationships among note contents. Thus idea networks can be studied in conjunction with social networks in online discourse. Further, benchmark corpora can be used to determine knowledge advances, and systems of interactivity leading to them. Results can then provide feedback to students and teachers to support them in obtaining continually higher level achievements. In addition to visual representations, the KSV provides quantitative network metrics such as degree and density. Data drawn from 9- and 10-year-old students working on a six-week unit on optics were used to illustrate some of the functionality of the KSV. Three studies show ways in which new visualizations can be used: (a) to highlight relationships among notes, (b) as a way of tracking the development of discourse over time, and (c) as an assessment tool. Implications for the design of knowledge building environments, assessment tools, and design-based research are discussed. knowledge building visualization assessment Knowledge Forum latent semantic analysis knowledge space visualizer KSV LSA systems model 0710
27	Word Space Models for Web User Clustering and Page Prefetching Sundin, Albin January 2012 (has links) This study evaluates methods for clustering web users via vector space models, for the purpose of web page prefetching for possible applications of server optimization. An experiment using Latent Semantic Analysis (LSA) is deployed to investigate whether LSA can reproduce the encouraging results obtained from previous research with Random Indexing (RI) and a chaos based optimization algorithm (CAS-C). This is not only motivated by LSA being yet another vector space model, but also by a study indicating LSA to outperform RI in a task similar to the web user clustering and prefetching task. The prefetching task was used to verify the applicability of LSA, where both RI and CAS-C have shown promising results. The original data set from the RI web user clustering and prefetching task was modeled using weighted (tf-idf) LSA. Clusters were defined using a common clustering algorithm (k-means). The least scattered cluster configuration for the model was identified by combining an internal validity measure (SSE) and a relative criterion validity measure (SD index). The assumed optimal cluster configuration was used for the web page prefetching task. Precision and recall of the LSA based method is found to be on par with RI and CAS-C, in as much that it solves the web user clustering and web task with similar characteristics as unweighted RI. The hypothesized inherent gains to precision and recall by using LSA was neither confirmed nor conclusively disproved. The effects of different weighting functions for RI are discussed and a number of methodological factors are identified for further research concerning LSA based clustering and prefetching. LSA RI CAS-C Clustering Prefetching Web mining Segmentering Computer Sciences Datavetenskap (datalogi)
28	Sémantická blízkost pro vědecké články / Semantic Relatedness of Scientific Articles Dresto, Erik January 2011 (has links) The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.
29	An Analysis of Educational Technology Publications: Who, What and Where in the Last 20 Years Natividad Beltrán del Río, Gloria Ofelia 05 1900 (has links) This exploratory and descriptive study examines research articles published in ten of the top journals in the broad area of educational technology during the last 20 years: 1) Educational Technology Research and Development (ETR&D); 2) Instructional Science; 3) Journal of the Learning Sciences; 4) TechTrends; 5) Educational Technology: The Magazine for Managers of Change in Education; 6) Journal of Educational Technology & Society; 7) Computers and Education; 8) British Journal of Educational Technology (BJET); 9) Journal of Educational Computing Research; and 10) Journal of Research on Technology in Education. To discover research trends in the articles published from 1995-2014, abstracts from all contributing articles published in those ten prominent journals were analyzed to extract a latent semantic space of broad research areas, top authors, and top-cited publications. Concepts that have emerged, grown, or diminished in the field were noted in order to identify the most dominant in the last two decades; and the most frequent contributors to each journal as well as those who contributed to more than one of the journals studied were identified. educational technology educational technology trends scholarly publications latent semantic analysis LSA journal rankings journal impact Educational technology. Educational literature.
30	Tinklalapio navigavimo asociacijų analizės ir prognozavimo modelis / A model for analyzing and predicting the scent of a web site Kučaidze, Artiom 08 September 2009 (has links) Darbe, remiantis informacijos paieškos teorija, bandoma sukurti tinklalapio navigavimo asociacijų analizės ir prognozavimo modelį. Šio modelio tikslas – simuliuoti potencialių tinklalapio vartotojų informacijos paieškos kelius turint apibrėžtą informacinį tikslą. Modelis kuriamas apjungiant LSA, SVD algoritmus ir koreliacijos koeficientų skaičiavimus. LSA algoritmas naudojamas kuriant semantines erdves, o koreliacijos koeficientų skaičiavimai naudojami statistikoje. Kartu jie leidžia tinklalapio navigavimo asociacijų analizės ir prognozavimo modeliui analizuoti žodžių semantinį panašumą. Darbo eigoje išskiriamos pagrindinės problemos, su kuriomis gali susidurti tinklalapio lankytojai sudarant tinklalapio navigavimo asociacijas – tai yra konkurencijos tarp nuorodų problema, klaidinančių nuorodų problema ir nesuprantamų nuorodų problema. Demonstruojama kaip sukurtas modelis atpažįsta ir analizuoja šias problemas. / In this document we develop a model for analyzing and predicting the scent of a web site, which is based on information foraging theory. The goal of this model is to simulate potential web page users and their information foraging paths having specific information needs. Model is being developed combining LSA, SVD algorithms and correlation values calculations. LSA algorithm is used for creating semantic spaces and correlation values are user in statistics. Together they provide possibility to analyze word‘s semantic similarity. Primary problems of web navigation are described in this document. These problems can occur for users while creating the scent of a web site. User can face with concurrency between links problem, wrong sense link problem and unfamiliar link problem. In this document we demonstrate how model recognizes and analyzes these problems. Informacijos paieška Informacijos nuojauta Navigavimo asociacijos Tinklalapio panaudojamumas Tinklalapio analizė Tinklalapio navigacija Panaudojamumo problemos LSA Latent Semantic Analysis SVD Singular Value Decomposition Ilgiausiai pasikartojančios sekos Koreliacija

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