Cracow University of Technology posted this:Data Intensive Computing Lab at Cracow University of TechnologyOur Mission: • To conduct international quality research on exploring, development and study of data intensive scalable, reliable and intelligent complex systems and models, future generation technologies in artificial intelligence and bilogically inspired data intensive computing, large-scale, parallel and distributed computing, Big Data related areas, cognitive sciences and allied disciplines. • To support comprehensive evaluation, grassroots incubation, and seamless adoption of computational Intelligence technologies for educational, commercial, and research purposes. • To collect together the expertise and resources needed to help students experience the excitement of research. • To promote group visibility and dissemination of the research results of the group members and students in the relevant international forums.
Research & Technology Organization
UNIVERSIDAD DE ALICANTE posted this:Machine-to-Cloud Management System of Distributed Heterogeneous DevicesThe Specialized Processors Architecture Laboratory (SPA-Lab group) research group from University of Alicante has developed a system which improves remote control systems processes of different kind of devices geographically spread, through the Cloud. This suggested system provides independence between application layer and remote-controlled devices. Its main advantage is the homogeneity of mechanisms and functions for their interaction with the devices no matter their nature and the scope of the application. The supplied technology may be used in sectors needing monitoring and controlling a wide range of devices. The research team supplies the companies both the “know-how” for the necessary adaptation and implementation of the system and the possibility of licensing this technology.
DIT Hothouse posted this:Pressure Sensitive HologramsThey are currently widely used on credit cards, cheques and high value items. However, because mass production of holograms is traditionally from a single ‘master hologram’ all security holograms for a particular product range are identical and any serialization is non holographic (e.g. printed serial numbers over the hologram surface in regular black ink). This technology addresses the gap in the market for individualized holograms which each contain a unique number or code that can checked easily by the end user. The end user simply checks the number against the serial number on the product and verifies that (1) the security hologram is present and (2) it is genuine. The product is a stand alone printed text or pattern which has the appearance of a transmission hologram (typically rainbow effect, but microtext within the printed text could be also incorporated if higher complexity is required). The unique characteristic of the product is that due to the holographic digital printing technique each product can be individualised at no additional price compared to similar hologram products.
DIT Hothouse posted this:SmartSeg: A Smart Customer Segmentation ToolWith the rise of service customisation, data analytics is becoming increasingly important so as to understand the needs of a company's customers. In order for the potential of data analytics to be fully realised, analytics tools must be developed for use by the widest user-base possible. Under the CeADAR Intelligent Analytic Interfaces: Ease of Interaction theme, smart analytics tools are being developed to aid non-analytics specialist users in exploring datasets and performing analytics tasks. The first task selected for focus under this theme is customer segmentation, an especially common data analytics task and one that organisations tend to perform when they first start to use data analytics. Presenting segmentation results to the user in a way that is interpretable is the key to the success of SmartSeg. To understand customer segmentations analytics practitioners compare the distributions of features within a segment to the distributions of the same features in the underlying full population. While major existing analytics tools have enabled widespread adoption of data analytics, they remain mostly targeted at expert analytics users. At CeADAR we are developing smart analytics tools for non-analytics experts - the so called next billion users.