Selaus nimekkeen mukaan kokoelmassa Diplomityöt ja Pro gradu -tutkielmat
Aineistot 1712-1731 / 12707
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Data center energy efficiency assessment based on real data analysis
(2019)This work covers energy efficiency analysis of Data Center (DC) operations. DCs empower a wide variety of applications and enhance decision making processes. Having such a crucial role in the modern life, DCs remain large ... -
Data center performance comparison framework based on biomimicry
(2018)The increase and demand for fast, efficient data processing and storage services coupled with the high energy usage necessitate the need for changes in the design and operations of the data center for improved performance. ... -
Data Collection Agent Framework
(2002)Ohjelmistoteollisuudessa pitkiä ja vaikeita kehityssyklejä voidaan helpottaa käyttämällä hyväksi ohjelmistokehyksiä (frameworks). Ohjelmistokehykset edustavat kokoelmaa luokkia, jotka tarjoavat yleisiä ratkaisuja tietyn ... -
Data collection and criticality analysis for cost effective maintenance during the life cycle of a flue gas line
(2005)Työn tarkoituksena oli kerätä käyttövarmuustietoa savukaasulinjasta kahdelta suomalaiselta sellutehtaalta niiden käyttöönotosta aina tähän päivään asti. Käyttövarmuustieto koostuu luotettavuustiedoista sekä kunnossapitotiedoista. ... -
Data communication in paper sales environment
(2000)Tämä diplomityö kirjoitettiin UPM- Kymmene konsernin UPM Net Services sa/nv osastolle Brysselissä ja Helsingissä. Työn aihe, Data communication in paper sales environment, määriteltiin käsittelemään paperin myyntijärjestelmään ... -
Data Consistency by a Metadata Management Solution
(2010)This thesis consists of three main theoretical themes: quality of data, success of information systems, and metadata in data warehousing. Loosely defined, metadata is descriptive data about data, and, in this thesis, master ... -
Data driven decision making in digital education : A case study from Finland and Russia
(2019)This Master’s thesis is contemplated as a part of CEPHEI project. One of the major goals of the project is to increase the digitalization the course contents of Industrial Innovation by standardization of its e-learning ... -
Data ethics and non-compliance challenges in DevOps
(2023)Competition in the global marketplace has continued to drive the need for faster development and release of software applications as well as easier maintenance of existing ones. DevOps as a software development methodology ... -
Data filtering and machine learning in frequency converter-driven pump process identification
(2020)Pumps consume roughly a fifth of the total energy consumed by electrical motors in the world. There exists a huge potential in pump systems for energy savings and increases in energy efficiency with using variable speed ... -
Data Governance and Automated Marketing – A Case Study of Expected Benefits of Organizing Data Governance in an ICT Company
(2015)This research is looking to find out what benefits employees expect the organization of data governance gains for an organization and how it benefits implementing automated marketing capabilities. Quality and usability of ... -
Data integrity and classification in nuclear power plant data management
(2022)Data integrity is the cohesion of the data in the context of its use. The definition of integrity differs between sources, but in this case, it describes the fitness for use in the nuclear power plant project. It can be ... -
Data literacy and serious games: Can the gamification of open data provide a solution to its disuse?
(2018)Problems arise in communities that are sometimes either not easily addressable, while other times the issue is not always as evident and transparent as we would tend to believe. Open data can help in this matter by providing ... -
Data management as a part of performance management: Case study about production reporting development project
(2013)Because of the increased availability of different kind of business intelligence technologies and tools it can be easy to fall in illusion that new technologies will automatically solve the problems of data management and ... -
Data mesh : a holistic examination of its principles, practices, and potential
(2023)As business becomes digitized and the amount of data increases rapidly, organizations need new data and analytics solutions to maintain business growth. Therefore, one of the most important strategic goals of many enterprises ... -
Data modeling in implementing process information management system
(2021)The amount of data collected is already high, but to analyze and use it to meet the business strategic need is still evolving. The data models organizes the data to be used easier and they are build based on requirements ... -
Data monetization in the mining industrial space
(2023)Data monetization is turning data into financial capital. The goal of the thesis was to clarify how data monetization could be improved in the case department which produces remote monitoring service to mining industry ... -
Data on water cooled small modular reactor and incorporating the benefits of SMRs over conventional large reactor
(2019)Goal of this thesis report is to combining data on water cooled SMR design technology and under which condition SMR could be a valid choice over traditional type large reactors. This report consists of 2 parts, where part ... -
Data quality analysis in industrial maintenance; theory vs. reality
(2016)The use of Big Data, analytics and simulations for supporting decision making in different business areas regardless the field of industry has gained significant interest lately. Firms believe to improve efficiency and ... -
Data quality management improvements in telecommunications company
(2023)The world is changing and digitalizing rapidly, and telecommunications companies must also meet the needs of the world's changes. The role of data management has grown in recent years, and data and its management have ... -
Data quality maturity model for citizen science applications
(2019)Advances in scientific projects and researches are a great initiative for real-life applications. Citizen science is the particularly new domain of science that has already proved that it can also be as helpful as classical ...
