PPT-ARCHIPELAGO Data Aggregation

and Visualization for the Cultural Sector ahr k uh pel uh goh 4 FRAMING QUESTIONS Who is making art Where is it happening Who is engaging it How is it supported. Paradiso. Responsive Environments. MIT Media . Lab. Tricorder. X-Reality Lunch Talk. 22. nd. Feb, 2008. Clairvoyance. Clairvoyance = Clair (“Clear”) + . Voyant. (“Seeing”). The ability to gain information about an object, location or physical event through means other than the known human senses. . Dale Little. EETS8316. . The problem. Increase data rates over current LTE . speeds. LTE Rel8 Peak DL: 100Mbps UL: . 50Mbps. LTE Rel10: Peak DL: 1 . Gbps. UL: 500 . Mbps. Overcome spectrum fragmentation . in a Publish-subscribe system. Kazuhiro Minami. *, Adam Lee**, . Marianne . Winslett. *, and Nikita . Borisov. *. *University of Illinois at Urbana-Champaign. **University of Pittsburgh. Publish-subscribe System . Vassilis J. Tsotras. University of California, Riverside. tsotras@cs.ucr.edu. Joint work with . Jian. . Wen. (UCR), Michael Carey and . Vinayak. . Borkar. (UCI);. supported by NSF IIS grants: 1305253, 1305430, 0910859 and 0910989.. Groupe des Utilisateurs SQL Server. Septembre 2013 . – . Design . Aggregations. C. hris Webb – . Technitrain. MVP SQL Server. Designing Effective Aggregations in Analysis Services. Who Am I?. Chris Webb. Recoverable Concealed . Data. Aggregation for Data Integrity . in Wireless. . Sensor Networks. Chien. -Ming Chen, . Yue-. Hsun. . Lin, . Ya-Ching. . Lin, and Hung-Min . Sun. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. METAC Banking Supervision Advisor. Beirut, Lebanon. June 2-4, 2015. Risk Data Aggregation. Risk Data Aggregation. 2. One of the most significant lessons learned from the global financial crisis that began in 2007 was that banks’ information technology (IT) and data . – . What’s it to The HDF Group?. ESIP Summer Meeting 2013. Mike Folk & Larry Knox. The HDF Group. Aggregations, What's it to you?. 1. 7/11/2013. Why do we aggregate?. Aggregation and HDF. Types of aggregation in remote sensing. Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. Carlos Madina (Tecnalia). 12. th. IEEE . PowerTech. Conference | 2017/06/19. Agenda. Aims and goals of the pilots. Description of the pilots. Italian pilot. Danish pilot. Spanish pilot. Key results. and Visualization for the . Cultural . Sector. [. ahr. -. k. uh. -. pel. -. uh. -. goh. ]. 4 FRAMING QUESTIONS. Who. is making art?. Where. is it happening?. Who. is engaging it?. How. is it supported?. SSDBM 2014. June 30. th. , . Aalborg, Denmark. 1. Yi Wang, . Arnab. Nandi, . Gagan. . Agrawal. The Ohio State University. Outline. Introduction. Grid Aggregations. Overlapping Aggregations. Experimental Results. on the Unfolded . Protein . Response OF The VAPB protein. Keerthana Vishwanath. Amyotrophic Lateral Sclerosis (ALS). What is ALS?. What are the two types of ALS?. ALS is typically caused by mutation. Fuglei E, Stien A, Yoccoz NG, Ims RA, Eide NE, Prestrud P, et al. Spatial Distribution of Echinococcus multilocularis, Svalbard, Norway. Emerg Infect Dis. 2008;14(1):73-75. https://doi.org/10.3201/eid1401.070565.