Multimedian elementit aikuiskoulutuksen kehittämisessä

Tämän työn teoreettisen sisällön tavoitteena on esitellä multimedian eri elementit ja Moving Picture Experts Groupin kehittämä MPEG-formaattiperhe, joka yhdistää kattavimmin eri elementit multimediaesityksiksi. Työssä esitellään videon ja audion pakkausformaatit MPEG-1 ja MPEG-2, interaktiivisen median jakelun verkoissa mahdollistava MPEG-4, multimediasisällön kuvausstandardi MPEG-7 sekä multimedian toimitusketjun hallinnan verkoissa määrittävä MPEG-21. Edellisten lisäksi teoreettisessa osassa esitellään multimediaohjelmistoista SMIL-teknologia ja selostetaan yksityiskohtaisesti, kuinka sillä luodaan multimediaesityksiä. Empiirisessä osassa laaditaan Helsingin yliopiston Maaseudun tutkimus- ja koulutuskeskukselle kehittämissuunnitelma, jossa multimedian elementtejä käytetään mahdollisimman monipuolisesti kehittämään aikuiskoulutusta. Suunnitelman perustaksi tehtiin koulutushenkilökunnalle osaamiskartoitus ja kartoitettiin yksikön tekninen valmius hyödyntää multimediaa. Suunnitelman mielekästä jäsentämistä varten yksikön aikuiskoulutus jaettiin neljään osaan: varsinaiseen koulutukseen, sitä tukevaan tutkimus- ja kehittämistoimintaan, opetusmateriaaleja tuottavaan julkaisu- ja tietopalvelutoimintaan sekä edellisiä avustaviin tukitoimintoihin.

Visual Measurement and Modelling of Tool Wear in Rough Turning

Huolimatta korkeasta automaatioasteesta sorvausteollisuudessa, muutama keskeinen ongelma estää sorvauksen täydellisen automatisoinnin. Yksi näistä ongelmista on työkalun kuluminen. Tämä työ keskittyy toteuttamaan automaattisen järjestelmän kulumisen, erityisesti viistekulumisen, mittaukseen konenäön avulla. Kulumisen mittausjärjestelmä poistaa manuaalisen mittauksen tarpeen ja minimoi ajan, joka käytetään työkalun kulumisen mittaukseen. Mittauksen lisäksi tutkitaan kulumisen mallinnusta sekä ennustamista. Automaattinen mittausjärjestelmä sijoitettiin sorvin sisälle ja järjestelmä integroitiin onnistuneesti ulkopuolisten järjestelmien kanssa. Tehdyt kokeet osoittivat, että mittausjärjestelmä kykenee mittaamaan työkalun kulumisen järjestelmän oikeassa ympäristössä. Mittausjärjestelmä pystyy myös kestämään häiriöitä, jotka ovat konenäköjärjestelmille yleisiä. Työkalun kulumista mallinnusta tutkittiin useilla eri menetelmillä. Näihin kuuluivat muiden muassa neuroverkot ja tukivektoriregressio. Kokeet osoittivat, että tutkitut mallit pystyivät ennustamaan työkalun kulumisasteen käytetyn ajan perusteella. Parhaan tuloksen antoivat neuroverkot Bayesiläisellä regularisoinnilla.

Search Interfaces on the Web: Querying and Characterizing

Current-day web search engines (e.g., Google) do not crawl and index a significant portion of theWeb and, hence, web users relying on search engines only are unable to discover and access a large amount of information from the non-indexable part of the Web. Specifically, dynamic pages generated based on parameters provided by a user via web search forms (or search interfaces) are not indexed by search engines and cannot be found in searchers’ results. Such search interfaces provide web users with an online access to myriads of databases on the Web. In order to obtain some information from a web database of interest, a user issues his/her query by specifying query terms in a search form and receives the query results, a set of dynamic pages that embed required information from a database. At the same time, issuing a query via an arbitrary search interface is an extremely complex task for any kind of automatic agents including web crawlers, which, at least up to the present day, do not even attempt to pass through web forms on a large scale. In this thesis, our primary and key object of study is a huge portion of the Web (hereafter referred as the deep Web) hidden behind web search interfaces. We concentrate on three classes of problems around the deep Web: characterization of deep Web, finding and classifying deep web resources, and querying web databases. Characterizing deep Web: Though the term deep Web was coined in 2000, which is sufficiently long ago for any web-related concept/technology, we still do not know many important characteristics of the deep Web. Another matter of concern is that surveys of the deep Web existing so far are predominantly based on study of deep web sites in English. One can then expect that findings from these surveys may be biased, especially owing to a steady increase in non-English web content. In this way, surveying of national segments of the deep Web is of interest not only to national communities but to the whole web community as well. In this thesis, we propose two new methods for estimating the main parameters of deep Web. We use the suggested methods to estimate the scale of one specific national segment of the Web and report our findings. We also build and make publicly available a dataset describing more than 200 web databases from the national segment of the Web. Finding deep web resources: The deep Web has been growing at a very fast pace. It has been estimated that there are hundred thousands of deep web sites. Due to the huge volume of information in the deep Web, there has been a significant interest to approaches that allow users and computer applications to leverage this information. Most approaches assumed that search interfaces to web databases of interest are already discovered and known to query systems. However, such assumptions do not hold true mostly because of the large scale of the deep Web – indeed, for any given domain of interest there are too many web databases with relevant content. Thus, the ability to locate search interfaces to web databases becomes a key requirement for any application accessing the deep Web. In this thesis, we describe the architecture of the I-Crawler, a system for finding and classifying search interfaces. Specifically, the I-Crawler is intentionally designed to be used in deepWeb characterization studies and for constructing directories of deep web resources. Unlike almost all other approaches to the deep Web existing so far, the I-Crawler is able to recognize and analyze JavaScript-rich and non-HTML searchable forms. Querying web databases: Retrieving information by filling out web search forms is a typical task for a web user. This is all the more so as interfaces of conventional search engines are also web forms. At present, a user needs to manually provide input values to search interfaces and then extract required data from the pages with results. The manual filling out forms is not feasible and cumbersome in cases of complex queries but such kind of queries are essential for many web searches especially in the area of e-commerce. In this way, the automation of querying and retrieving data behind search interfaces is desirable and essential for such tasks as building domain-independent deep web crawlers and automated web agents, searching for domain-specific information (vertical search engines), and for extraction and integration of information from various deep web resources. We present a data model for representing search interfaces and discuss techniques for extracting field labels, client-side scripts and structured data from HTML pages. We also describe a representation of result pages and discuss how to extract and store results of form queries. Besides, we present a user-friendly and expressive form query language that allows one to retrieve information behind search interfaces and extract useful data from the result pages based on specified conditions. We implement a prototype system for querying web databases and describe its architecture and components design.

The Importance of Semantics: Visual World Studies on Drawing Inferences and Resolving Anaphors

The present thesis investigated the importance of semantics in generating inferences during discourse processing. Three aspects of semantics, gender stereotypes, implicit causality information and proto-role properties, were used to investigate whether semantics is activated elaboratively during discourse comprehension and what its relative importance is in backward inferencing compared to discourse/structural cues. Visual world eye-tracking studies revealed that semantics plays an important role in both backward and forward inferencing: Gender stereotypes and implicit causality information is activated elaboratively during online discourse comprehension. Moreover, gender stereotypes, implicit causality and proto-role properties of verbs are all used in backward inferencing. Importantly, the studies demonstrated that semantic cues are weighed against discourse/structural cues. When the structural cues consist of a combination of cues that have been independently shown to be important in backward inferencing, semantic effects may be masked, whereas when the structural cues consist of a combination of fewer prominent cues, semantics can have an earlier effect than structural factors in pronoun resolution. In addition, the type of inference matters, too: During anaphoric inferencing semantics has a prominent role, while discourse/structural salience attains more prominence during non-anaphoric inferencing. Finally, semantics exhibits a strong role in inviting new inferences to revise earlier made inferences even in the case the additional inference is not needed to establish coherence in discourse. The findings are generally in line with the Mental Model approaches. Two extended model versions are presented that incorporate the current findings into the earlier literature. These models allow both forward and backward inferencing to occur at any given moment during the course of processing; they also allow semantic and discourse/structural cues to contribute to both of these processes. However, while the Mental Model 1 does not assume interactions between semantic and discourse/structural factors in forward inferencing, the Mental Model 2 does assume such a link.

Demonstration Platform for Visual Quality Metrics

This thesis presents two graphical user interfaces for the project DigiQ - Fusion of Digital and Visual Print Quality, a project for computationally modeling the subjective human experience of print quality by measuring the image with certain metrics. After presenting the user interfaces, methods for reducing the computation time of several of the metrics and the image registration process required to compute the metrics, and details of their performance are given. The weighted sample method for the image registration process was able to signifigantly decrease the calculation times while resulting in some error. The random sampling method for the metrics greatly reduced calculation time while maintaining excellent accuracy, but worked with only two of the metrics.

Learning Robot Motions from Visual Sensing

Learning from demonstration becomes increasingly popular as an efficient way of robot programming. Not only a scientific interest acts as an inspiration in this case but also the possibility of producing the machines that would find application in different areas of life: robots helping with daily routine at home, high performance automata in industries or friendly toys for children. One way to teach a robot to fulfill complex tasks is to start with simple training exercises, combining them to form more difficult behavior. The objective of the Master’s thesis work was to study robot programming with visual input. Dynamic movement primitives (DMPs) were chosen as a tool for motion learning and generation. Assuming a movement to be a spring system influenced by an external force, making this system move, DMPs represent the motion as a set of non-linear differential equations. During the experiments the properties of DMP, such as temporal and spacial invariance, were examined. The effect of the DMP parameters, including spring coefficient, damping factor, temporal scaling, on the trajectory generated were studied.

Consumer Search Behavior in High Involvement Purchases

The aim of this study is to investigate the consumer search behavior in high involvement purchases. The results of this research provide the descriptive analysis of the information search phase which is a part of the decision-making process. The study focuses on customer’s choice of the information sources, motivation behind it and different factors that influence the search behavior. Particular attention is paid to the purchase categorization and the differences in information search between products and services. The qualitative research method is chosen for this study. The data is gathered through ten theme interviews. Each participant of the interview describes his/her own search behavior in a product and a service case. The results indicate that consumer search behavior vary according to the purchase categorization, demographic, individual and situational factors. Moreover, the above-mentioned factors influence the purpose and position of the information search phase in a five-step decision making model.

Computational visual quality of digitally printed images

The problem of understanding how humans perceive the quality of a reproduced image is of interest to researchers of many fields related to vision science and engineering: optics and material physics, image processing (compression and transfer), printing and media technology, and psychology. A measure for visual quality cannot be defined without ambiguity because it is ultimately the subjective opinion of an “end-user” observing the product. The purpose of this thesis is to devise computational methods to estimate the overall visual quality of prints, i.e. a numerical value that combines all the relevant attributes of the perceived image quality. The problem is limited to consider the perceived quality of printed photographs from the viewpoint of a consumer, and moreover, the study focuses only on digital printing methods, such as inkjet and electrophotography. The main contributions of this thesis are two novel methods to estimate the overall visual quality of prints. In the first method, the quality is computed as a visible difference between the reproduced image and the original digital (reference) image, which is assumed to have an ideal quality. The second method utilises instrumental print quality measures, such as colour densities, measured from printed technical test fields, and connects the instrumental measures to the overall quality via subjective attributes, i.e. attributes that directly contribute to the perceived quality, using a Bayesian network. Both approaches were evaluated and verified with real data, and shown to predict well the subjective evaluation results.

Comparison of Local Feature Detectors and Descriptors for Visual Object Categorization

Local features are used in many computer vision tasks including visual object categorization, content-based image retrieval and object recognition to mention a few. Local features are points, blobs or regions in images that are extracted using a local feature detector. To make use of extracted local features the localized interest points are described using a local feature descriptor. A descriptor histogram vector is a compact representation of an image and can be used for searching and matching images in databases. In this thesis the performance of local feature detectors and descriptors is evaluated for object class detection task. Features are extracted from image samples belonging to several object classes. Matching features are then searched using random image pairs of a same class. The goal of this thesis is to find out what are the best detector and descriptor methods for such task in terms of detector repeatability and descriptor matching rate.

Den vårdande och helande bilden: möten med bildkonst i vårdandets värld

Denna vårdvetenskapliga avhandling syftar till att avtäcka och belysa en vårdande och helande dimension vid existentiellt lidande patienters möten med bildkonst inom vårdkontext. Kunskapssökandet sker i två studier. Den första (studie I) är en ikonografi sk tolkning av konstnären Matthias Grünewalds (ca 1460–1528) senmedeltida altarskåpsmålningar. I studien uttolkas lidandets uttryck och narrativa budskap samt symboliska gestaltningar av vårdande och helande i valda delar av detta s.k. Isenheimaltares bildprogram. Tolkningen utgår från rekonstruktionen av altarskåpets ursprungskontext, det medeltida Isenheimklostret, där svårt sjuka och döende patienter vårdades. I studie två (II) fortsätter sökandet i den moderna hospicevårdens kontext med hjälp av en kvalitativ intervjustudie som utforskar patienters meningsskapande vid möten med självvald bildkonst (oljemålningar och akvareller av fi nländska konstnärer som donerats till det sjukhus där intervjustudien gjordes). Forskningsansatsen är inspirerad av Hans-Georg Gadamers (1901–2002) hermeneutik. Vidare används några nyare tolkningsteoretiska ansatser inom bildkonstens område. Forskningens tolkningsresultat visar att bildkonsten har potentialer såväl på ett miljöestetiskt plan som på en djupare individuell symbolnivå. Som designkomponent i vårdmiljöns rumsliga gestaltning bygger bildkonsten in estetiska, etiska och andliga kvaliteter utifrån tidsmässiga och kulturella koder. I den medeltida klostervårdens kontext sammanföll bildkonstens dekorativa betydelse med andliga och helande syften. När det gäller självvalda konstverk i den moderna vårdkontexten bidrar de till det enskilda patientrummets atmosfär på ett unikt sätt utifrån patientens personlighet och behov. På en fördjupad mötesnivå, i samspel med bildens symboliska funktion, sker en inlevelsemässig förfl yttning in i bildens värld. Betraktarens inlevelse aktiveras till en transcenderande rörelse som går bortom det faktiska rummets och den reella tidens gränser. Vid resor i konstens bildvärld spelas minnesvärda händelser upp från det förgångna, men även framtiden kommer betraktaren till mötes. I en existentiell livssituation söker människan i konstverkets bildinnehåll efter symbolisk mening som kan ge svar på lidandets frågor. Bilderna iscensätter då helande motbilder som utgör korrektiv i symboliska former när olika existentiella förluster hotar. När livet förbleknats av sjukdom besvarar bildvärlden den lidandes blick med lysande violer som blommar upp, ger livskraft och bekräftar personens värdighet mitt i det förvissnande människolivet. När ångest och otrygghet nalkas inbjuds betraktaren till besök i landskap som utvidgar sjukhusrummets väggar mot hemgårdens trygghet. Där livet hotas av förgänglighet tar bildvärlden människan med sig till naturens eviga återfödelse. Upplevelsen av att vara delaktig i ett större och heligt sammanhang öppnar vägen ut ur lidandets avskurenhet. I medeltidens vårdkontext erbjöd den sakrala bilden en kollektiv och helande Symbolon som genom sin representationskraft synliggjorde det osynliga. Vid bildmöten i den moderna hospicevårdens kontext var det naturteman som gläntade på dörren till ”det hemliga rummet i djupet av hjärtat”. Forskningen antyder att även om meningsskapandet i ett bildmöte är avhängigt tidsepok, betraktarens förförståelse och kulturella kontext samt typen av bilder kan bildsymboliken, generellt förstådd som den saknade formen eller det saknade livssammanhanget, framvisa en helande och hoppingivande ordning i lidandets kaos.

In search of Lost Childhood

The article is located at the Daily Sun's editorial section's subsection "Post-Log."

Search Engine Optimization Methods & Search Engine Indexing for CMS Applications

Search engine optimization & marketing is a set of processes widely used on websites to improve search engine rankings which generate quality web traffic and increase ROI. Content is the most important part of any website. CMS web development is now become very essential for most of organizations and online businesses to develop their online system and websites. Every online business using a CMS wants to get users (customers) to make profit and ROI. This thesis comprises a brief study of existing SEO methods, tools and techniques and how they can be implemented to optimize a content base website. In results, the study provides recommendations about how to use SEO methods; tools and techniques to optimize CMS based websites on major search engines. This study compares popular CMS systems like Drupal, WordPress and Joomla SEO features and how implementing SEO can be improved on these CMS systems. Having knowledge of search engine indexing and search engine working is essential for a successful SEO campaign. This work is a complete guideline for web developers or SEO experts who want to optimize a CMS based website on all major search engines.