ONKI-projektin ontologiaeditorien vertailuraportti

Kansalliskirjastossa maaliskuussa 2013 käynnistynyt ONKI-projekti vastaa yleisen suomalaisen ontologian (YSO) sekä kansallisen ONKI-ontologiapalvelun kehityksestä ja ylläpidosta. ONKI-projektia rahoittavat valtiovarainministeriö sekä opetus- ja kulttuuriministeriö. Projektin alkuvaiheen ensimmäisiä tavoitteita on ollut vertailla tällä hetkellä tarjolla olevia ontologioiden muokkaukseen käytettäviä ohjelmistoja, joista tästedes käytämme nimeä ontologiaeditori. Vertailun perusteella annetaan yhteenveto ja suositus vertailussa olleista vaihtoehdoista. Ontologia- editori on keskeisin työväline projektin jatkovaiheessa ja vastaavia työkaluja käyttävät myös Kansalliskirjaston ulkopuoliset, ONKI-projektiin liittyvät yhteistyötahot. Raportissa esitellään projektin taustaa ja ontologiaeditorien käyttöä ja merkitystä ontologiatyössä sekä niihin liittyvät perusvaatimukset. Vertailussa olleet editorit, Top Braid Composer eri versioineen, Protégé 4.3, TopBraid EVN, PoolParty Thesaurus Server, VocBench, IQvoc sekä TemaTres esitellään kukin erikseen. Lopuksi esitetään yhteenveto ja suositus.

Suunnistussovelluksen suunnittelu Windows Phonelle

Tässä työssä luotiin suunnistussovelluksen demo Windows Phone 8:lle. Työn tavoite oli tehdä sovellus, jonka kanssa suunnistaminen tuntuisi mahdollisimman samalta, kuin oikeakin suunnistus. Työssä kiinnitettiin huomiota lähinnä sovelluksen tekniseen toteutukseen sekä paikannuksen riittävään tarkkuuteen. Työssä vertaillaan eri mobiilialustoja, selainten tietokantaratkaisuja, erilaisia selaimen ja serverin tietokantojen synkronointimenetelmiä sekä olemassaolevia suunnistussovelluksia. Työssä käytettiin indeksitietokantaa, jQuery mobilea ja Cordovaa sekä JSON:ia tietokantojen synkronointiin. Työssä tehty demo on lupaava esitys siitä, miten suunnistustaitojaan voisi harjoittaa tekniikkaa apuna käyttäen. Lopuksi työssä käydään vielä läpi sitä, mitä tällaiseen palveluun voisi toteuttaa työssä toteutetun demon lisäksi.

A distributed, cloud-ready, digital content processing and transformation platform and a specific use case

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

SYLI - an external workflow system for DSpace

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Integration of JINR Information Resources

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Big Data Processing in the Cloud: a Hydra/Sufia Experience

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Kramerius - Fedora based open source system for a digital library

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

DSpace for Data Revisited

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Tag Cloud of Search Queries for Repository System

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

SimpleREST -RESTful DSpace API

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Development of remote monitoring process tools for biomass fired bubbling fluidized bed boilers

Remote monitoring of a power boiler allows the supplying company to make sure that equipment is used as supposed to and gives a good chance for process optimization. This improves co-operation between the supplier and the customer and creates an aura of trust that helps securing future contracts. Remote monitoring is already in use with recovery boilers but the goal is to expand especially to biomass-fired BFB-boilers. To make remote monitoring possible, data has to be measured reliably on site and the link between the power plant and supplying company’s server has to work reliably. Data can be gathered either with the supplier’s sensors or with measurements originally installed in the power plant if the plant in question is not originally built by the supplying company. Main goal in remote monitoring is process optimization and avoiding unnecessary accidents. This can be achieved for instance by following the efficiency curves and fouling in different parts of the process and comparing them to past values. The final amount of calculations depends on the amount of data gathered. Sudden changes in efficiency or fouling require further notice and in such a case it’s important that dialogue toward the power plant in question also works.

Cost-efficient virtual machine management : provisioning, admission control, and consolidation

One of the main challenges in Software Engineering is to cope with the transition from an industry based on software as a product to software as a service. The field of Software Engineering should provide the necessary methods and tools to develop and deploy new cost-efficient and scalable digital services. In this thesis, we focus on deployment platforms to ensure cost-efficient scalability of multi-tier web applications and on-demand video transcoding service for different types of load conditions. Infrastructure as a Service (IaaS) clouds provide Virtual Machines (VMs) under the pay-per-use business model. Dynamically provisioning VMs on demand allows service providers to cope with fluctuations on the number of service users. However, VM provisioning must be done carefully, because over-provisioning results in an increased operational cost, while underprovisioning leads to a subpar service. Therefore, our main focus in this thesis is on cost-efficient VM provisioning for multi-tier web applications and on-demand video transcoding. Moreover, to prevent provisioned VMs from becoming overloaded, we augment VM provisioning with an admission control mechanism. Similarly, to ensure efficient use of provisioned VMs, web applications on the under-utilized VMs are consolidated periodically. Thus, the main problem that we address is cost-efficient VM provisioning augmented with server consolidation and admission control on the provisioned VMs. We seek solutions for two types of applications: multi-tier web applications that follow the request-response paradigm and on-demand video transcoding that is based on video streams with soft realtime constraints. Our first contribution is a cost-efficient VM provisioning approach for multi-tier web applications. The proposed approach comprises two subapproaches: a reactive VM provisioning approach called ARVUE and a hybrid reactive-proactive VM provisioning approach called Cost-efficient Resource Allocation for Multiple web applications with Proactive scaling. Our second contribution is a prediction-based VM provisioning approach for on-demand video transcoding in the cloud. Moreover, to prevent virtualized servers from becoming overloaded, the proposed VM provisioning approaches are augmented with admission control approaches. Therefore, our third contribution is a session-based admission control approach for multi-tier web applications called adaptive Admission Control for Virtualized Application Servers. Similarly, the fourth contribution in this thesis is a stream-based admission control and scheduling approach for on-demand video transcoding called Stream-Based Admission Control and Scheduling. Our fifth contribution is a computation and storage trade-o strategy for cost-efficient video transcoding in cloud computing. Finally, the sixth and the last contribution is a web application consolidation approach, which uses Ant Colony System to minimize the under-utilization of the virtualized application servers.

Replikoitavan palvelinjärjestelmän toteuttaminen julkisen liikenteen avoimen datan jakeluun

Tässä diplomityössä tutkittiin, miten toteuttaa replikoitava palvelinjärjestelmä julkisen liikenteen avoimen datan jakeluun. Tutkimuksessa selvitettiin, onko vastaavanlaisia järjestelmiä suunniteltu aiemmin, vai pitääkö järjestelmä suunnitella itse. Projektissa käytettiin avoimen lähdekoodin OneBusAway-ohjelmistokokonaisuutta. Projektin avulla osoitettiin, että kyseinen ohjelmisto toimi yliopiston testikäytössä hyvin. Ohjelmiston avulla pystytään jakelemaan staattista ja reaaliaikaista dataa, ja se on replikoitavissa kunnasta toiseen maailmanlaajuisesti. Tulevaisuudessa olisi kuitenkin hyvä selvittää, miten ohjelmistosta puuttuva reittihakuominaisuus kannattaisi toteuttaa, sekä olisiko REST- rajapinta mahdollista muuttaa sellaiseksi, että se noudattaisi julkisen liikenteen standardeja.

The GATO gene annotation tool for research laboratories

Large-scale genome projects have generated a rapidly increasing number of DNA sequences. Therefore, development of computational methods to rapidly analyze these sequences is essential for progress in genomic research. Here we present an automatic annotation system for preliminary analysis of DNA sequences. The gene annotation tool (GATO) is a Bioinformatics pipeline designed to facilitate routine functional annotation and easy access to annotated genes. It was designed in view of the frequent need of genomic researchers to access data pertaining to a common set of genes. In the GATO system, annotation is generated by querying some of the Web-accessible resources and the information is stored in a local database, which keeps a record of all previous annotation results. GATO may be accessed from everywhere through the internet or may be run locally if a large number of sequences are going to be annotated. It is implemented in PHP and Perl and may be run on any suitable Web server. Usually, installation and application of annotation systems require experience and are time consuming, but GATO is simple and practical, allowing anyone with basic skills in informatics to access it without any special training. GATO can be downloaded at [http://mariwork.iq.usp.br/gato/]. Minimum computer free space required is 2 MB.

Accuracy in book papers' sales forecasting

The main objective of this thesis was to study if the quantitative sales forecasting methods will enhance the accuracy of the sales forecast in comparison to qualitative sales forecasting method. A literature review in the field of forecasting was conducted, including general sales forecasting process, forecasting methods and techniques and forecasting accuracy measurement. In the empirical part of the study the accuracy of the forecasts provided by both qualitative and quantitative methods is being studied and compared in the case of short, medium and long term forecasts. The SAS® Forecast Server –tool was used in creating the quantitative forecasts.