THE ARGOMARINE PROJECT: A LOW COST PLATFORM TO INTEGRATE DATA AND THE EXPLORATORY USE OF NEW TOOLS IN MONITORING OIL SPILL

One of the key aim of ARGOMARINE focuses on the development of a platform to integrate different maritime data (such as metoceanographic data, transport data, pollution data, etc). Major national organizations such as Navies and Coast Guards are aiming to integrate different types of information to define a maritime picture on a wide scale. This entails developing complex, expensive and classified "hubs" to collect, store, analyze and disseminate the maritime data. ARGOMARINE plans to develop a Marine Information System (MIS), a connected group of ICT subsystems performing data storage, mining and analysis, decision-support, as well as a web-GIS portal for the access and usage of the products and services released to System Managers and end-users. MIS will integrate remote sensing data, field experiment results, forecast models with tools for data storage and retrieval, data manipulation, analysis and presentation; all these features will be accessible through a common interface. Operationally, the following sub-systems have been confirmed for the MIS platform: SAR (Synthetic Aperture Radar) image processing, hyperspectral-thermal image analysis, mathematical simulation for forecast models, dynamic risk maps management, Autonomous Underwater Vehicle (AUV) management and data analysis, marine traffic monitoring through Automatic Identification System (AIS), Environmental Decision Support (EDS), and data mining/warehousing through operational and historical databases. Data integration of all data from these different systems is an innovative approach to maritime surveillance.JRC.G.4-Maritime affair

Producer Prices in 2015: Services Inflation Slows, Goods Prices Continue to Decrease

[Excerpt] The Producer Price Index (PPI) measures the average change over time in selling prices received by domestic producers for their output. The main PPI measure of inflation, the Final Demand- Intermediate Demand (FD-ID) System, measures final demand inflation (price changes for goods, services, and construction sold to consumers, capital investment, government, and export buyers) and intermediate demand inflation (price changes for goods, services, and construction sold to businesses as inputs to production, excluding sales of capital investment). This issue of Beyond the Numbers describes PPI price movements in 2015

Tracking the Economy of the City of Atlanta: Past Trends and Future Prospects

This report explores the changes in the level and composition of employment in the City of Atlanta over the last 25 years. FRC Report 17

Technologie RFID a Blochkchain v dodavatelském řetězci

The paper discusses the possibility of combining RFID and Blockchain technology to more effectively prevent counterfeiting of products or raw materials, and to solve problems related to production, logistics and storage. Linking these technologies can lead to better planning by increasing the transparency and traceability of industrial or logistical processes or such as efficient detection of critical chain sites.Příspěvek se zabývá možností kombinace technologií RFID a Blockchain pro účinnější zabránění padělání výrobků či surovin a řešení problémů spojených s výrobou, logistikou a skladováním. Spojení těchto technologií může vést k lepšímu plánování díky vyšší transparentnosti a sledovatelnosti průmyslových nebo logistických procesů, nebo například k efektivnímu zjišťování kritických míst řetězce

A model for Business Intelligence Systems’ Development

Often, Business Intelligence Systems (BIS) require historical data or data collected from var-ious sources. The solution is found in data warehouses, which are the main technology used to extract, transform, load and store data in the organizational Business Intelligence projects. The development cycle of a data warehouse involves lots of resources, time, high costs and above all, it is built only for some specific tasks. In this paper, we’ll present some of the aspects of the BI systems’ development such as: architecture, lifecycle, modeling techniques and finally, some evaluation criteria for the system’s performance.BIS (Business Intelligence Systems), Data Warehouses, OLAP (On-Line Analytical Processing), Object-Oriented Modeling

Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses

A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "whether a total sales amount 1,000 items indicates a good or bad sales performance" is still unclear. From the decision makers' point of view, the semantics rather than raw numbers which convey the meaning of the data is very important. In this paper, we explore the use of fuzzy technology to provide this semantics for the summarizations and aggregates developed in data warehousing systems. A three layered data warehouse semantic model, consisting of quantitative (numerical) summarization, qualitative (categorical) summarization, and quantifier summarization, is proposed for capturing and explicating the semantics of warehoused data. Based on the model, several algebraic operators are defined. We also extend the SQL language to allow for flexible queries against such enhanced data warehouses