Search results for "House"
showing 10 items of 1116 documents
Query-Driven Method for Improvement of Data Warehouse Conceptual Model
2013
We propose a query-driven method that elicits the information requirements from existing queries on data sources and their usage statistics. Our method presumes that the queries against the source database reflect the analysis needs of users. We use this method to recommend changes to the existing data warehouse schemata. In our method, we take advantage of the schema versioning approach to reflect all changes that occur in the analysed process, and we analyse the activity of users in the source system, rather than changes in physical data structure, to infer the necessary improvements to the data warehouse schema.
Progresīvu tīmekļa lietotņu izstrāde, izmantojot Angular 5 un Lighthouse
2018
Mūsdienās uz gandrīz jebkuras platformas ir pieejama tīmekļa pārlūkprogramma. Lai nodrošinātu lietotņu darbību uz dažādām platformām, arvien biežāk lietotņu izstrādē tiek izmantotas tīmekļa tehnoloģijas. Šādas lietotnes nedarbojas vienlīdz labi uz visām ierīcēm. Attīstoties tīmekļa tehnoloģijām, ir radusies jauna pieeja lietotņu izstrādē – progresīvas tīmekļa lietotnes, kas apvieno tīmekļa un mobilo lietotņu iespējas. Darba izstrādē tika apskatīts lietotņu izstrādes satvars Angular 5 un lietotņu kvalitātes novērtēšanas rīks Lighthouse. Darba mērķis ir izpētīt, kā īstenot progresīvas tīmekļa lietotnes, praktiski izstrādāt progresīvu tīmekļa lietotni un novērtēt tās ieguvumus. Rezultātā izstr…
Loģistikas sistēmas risinājuma izstrādāšana programmā MS Dynamics Axapta
2016
MS Dynamics Axapta ir viens no uzņēmumu resursu pārvaldības(angliski – EPR, enterprise resource planning) programmatūras produktiem, kuru izmanto biznesa vadībā. Produkts ietilpst Microsoft Dynamics „ģimenē”. MS Dynamics Axapta tradicionāli sastāv no konkrētām daļām – moduļiem(kopumā 19 pamatmoduļi), kas, tiekot izstrādātām jaunākajām versijām, pamatā nemainās, veidojot vienu un to pašu kodolu, kas ļauj speciālistiem strādāt ar dažāda gada versijām. Šie moduļi ir(kopš Axapta 2.5 versijas): 1)Galvenā virsgrāmata – virsgrāmata,tirdzniecības nodokļi,valūtas,pamatlīdzekļu funkcijas; 2)Banku pārvaldība - saņem un izmaksā naudu; 3)Debitori - pasūtījumi, preču pārvadāšana, rēķini; 4)Kreditori – pi…
A comparison of different DC-DC converters for energy storage management in nearly-Zero Energy Buildings
2020
In the recent years, there has been a notable interest towards renewable sources, energy saving and efficiency optimization, in order to reduce the damages brought by fine dust and greenhouse gases in terms of safety, health and environmental protection. In the building sector renewable sources and energy efficiency optimization are leading to a large scale employment of nearly-Zero Energy Buildings (n-ZEBs), meaning that the balance between produced and required energy is negligible. For a proper n-ZEB implementation, a power system architecture has to be accurately designed, according to the existing renewable sources, loads and storage systems. In this paper, an investigation on differen…
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
2018
Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergic process. In this paper we highlight how “Big Data enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrh…
Information Requirements for Big Data Projects: A Review of State-of-the-Art Approaches
2018
Big data technologies are rapidly gaining popularity and become widely used, thus, making the choice of developing methodologies including the approaches for requirements analysis more acute. There is a position that in the context of the Data Warehousing (DW), similar to other Decision Support Systems (DSS) technologies, defining information requirements (IR) can increase the chances of the project to be successful with its goals achieved. This way, it is important to examine this subject in the context of Big data due to the lack of research in the field of Big data requirements analysis. This paper gives an overview of the existing methods associated with Big data technologies and requir…
A decision support system to compare different strategies for achieving the Italian Kyoto Protocol commitment
2008
Abstract: In order to meet the Italian Kyoto Protocol commitment, in 2002 the Interministerial Committee for Economic Planning (CIPE) approved the national allocation plan for the reduction of Greenhouse Gases (GHGs), envisioning various alternative scenarios. In this paper an extended impact assessment of the plan is accomplished and some further options are conceived and analysed in order to find an optimal trade-off among the different economic, environmental and social items at stake. After the selection of a set of independent indicators, nine different scenarios for the GHG reductions were evaluated and they were sorted according to the principles of the multicriteria analysis. The re…
Mathematical modelling of greenhouse gas emissions from membrane bioreactors: A comprehensive comparison of two mathematical models.
2018
Abstract This paper compares two mathematical models (Model I and Model II) to predict greenhouse gases emission from a University Cape Town (UCT) – membrane bioreactor (MBR) plant. Model I considers N 2 O production only during denitrification. Model II takes into account the ammonia-oxidizing bacteria (AOB) formation pathways for N 2 O. Both models were calibrated adopting real data. Model comparison was performed in terms of (i) sensitivity analysis (ii) best fit and (iii) model prediction uncertainty. On average 6% of factors of Model I and 9% of Model II resulted to be important. In terms of best fit, Model II had a better capability of reproducing the measured data. The average effici…
Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors
2017
In this study two mathematical models (Model I and Model II), able to predict the nitrous oxide (N2O) and carbon dioxide (CO2) emission from an University Cape Town (UCT) – membrane bioreactor (MBR) plant, have been compared. Model I considers the N2O production only during the denitrification. Model II takes into account the two ammonia-oxidizing bacteria (AOB) formation pathways for N2O. Both models were calibrated adopting real data. Results highlight that Model II had a better capability of reproducing the measured data especially in terms of N2O model outputs. Indeed, the average efficiency related to the N2O model outputs was equal to 0.3 and 0.38 for Model I and Model II respectively.
Ecology of Denitrifying Prokaryotes in Agricultural Soil
2007
Denitrification is a microbial respiratory process during which soluble nitrogen oxides are used as an alternative electron acceptor when oxygen is limiting. It results in considerable loss of nitrogen, which is the most limiting nutrient for crop production in agriculture. Denitrification is also of environmental concern, since it is the main biological process responsible for emissions of nitrous oxide, one of the six greenhouse gases considered by the Kyoto protocol. In addition to natural variations, agroecosystems are characterized by the use of numerous practices, such as fertilization and pesticide application, which can influence denitrification rates. This has been widely documente…