1,741,067 research outputs found
Dimiter Prodanov and Sumit Vohra introduce their Active Segmentation tool for plant image analysis.
Dimiter Prodanov (IMEC, Belgium) and Sumit Vohra (Zuse Institute, Germany) introduce Active Segmentation as a tool for plant cell image analysis
Heme-oxygenase-1 Gene Expression Ameliorates Cardiac Dysfunction Following Myocardial Infarction In C57 Mice By Recruitment Of Angiogenic Factors And Angiogenesis In C57 Mice
David Sacerdoti1; Sumit R Monu2; Paola Pesce1; Stephen J Peterson3; Komal Sodhi2; Nader G Abraham
Performance of Cellular CDMA with Truncated and Limited Power Control Schemes in Presence of Soft Handoff
SUMiT Académies - Offre de service nationale iTop
SUMiT (SUite de Management iT) is an **ambitious project in its community-based approach** of co-construction and national harmonisation of ITSM (Information Technology Service Management) tools within the Ministry of National Education and Youth. Based on the **iTop version from the French publisher COMBODO**, the Department of Digital Services in Education (DNE) is committed alongside the Regional education authorities to guaranteeing the **consistency of a national ITSM service offer**, bringing together all the achievements and expertise. SUMiT Académies is:- A **packaged offer** covering the management of incident, request, problem, configuration and catalogue processes.- The ability to remain "master" of iTop bodies, in terms of configuration, customisation and reporting.- The **complete integration of iTop with DigDash**, Business Intelligence tool.- The creative dynamic of the community approach to developing the offer.- A **methodology** and tools for **change management** and solution deployment.In the presentation we will discuss more specifically:- DigDash **integrated reporting and drill down dashboards**.- The **CMDB common data model** (Configuration Management DataBase) and the **data collectors**.- The **generic interface** enabling SUMiT Académies to connect to the other ITSM tools on the market.The DNE wants to develop the iTop solution by **adding features without touching the core of the product** and donating its **contributions to the community** (CMDB collectors, knowledge base).SUMiT(SUite de Management iT) est un **projet ambitieux dans sa démarche communautaire** de co-construction et d’harmonisation à l’échelle nationale des outils ITSM (Information Technology Service Management) au sein du ministère de l’éducation nationale et de la jeunesse. Sur la base de la **version iTop de l’éditeur français COMBODO**, la Direction du Numérique pour l’Education (DNE) s’engage aux côtés des académies pour garantir la **cohérence d’une offre de service ITSM nationale** et fédérer l’ensemble des réalisations et expertises. SUMiT Académies, c’est :- Une **offre packagée** embarquant la gestion des processus incident, demande, problème, configuration et catalogue.- La capacité à rester « maître » des instances iTop, en termes de paramétrage, personnalisation et reporting.- L’**intégration complète d'iTop avec DigDash**, outil de Business Intelligence.- La dynamique créatrice de la démarche communautaire pour faire évoluer l’offre.- Une **méthodologie** et des **outils d’accompagnement au changement** et au déploiement de la solution.La présentation permettra d’évoquer plus spécifiquement:- Le reporting intégré DigDash et les **tableaux de bord de type « drill down »**.- Le **modèle de données commun de CMDB** (Configuration Management DataBase) et les **collecteurs**.- L'**interface générique** permettant la connexion de SUMiT Académies aux autres outils ITSM du marché.La DNE a la volonté de faire évoluer la solution iTop par l’**ajout de fonctionnalités sans toucher le cœur du produit** et de reverser ses **contributions à la communauté** (collecteurs CMDB, base de connaissances)
Sumit Jamuar: Indians are 20 of the world's population, but represent only 1 of existing genetic data
As the new frontier in medicine, genomics brings with it the hope of allowing researchers to find the cure for a number of largely incurable diseases, from cancer to Alzheimer’s, to infectious diseases and beyond. The challenge now is to map the DNA of as many ethnicities and nationalities as possible. Currently, 81 per cent of the existing genetic data is from Caucasians. One company is trying to bridge the gap by analysing the genome of different ethnicities in India, with hopes of expanding to the rest of Asia, Latin America and Africa. “You look at India, with 1.3 billion people, 20 per cent of the world’s population. A lot of people of Indian ethnicities reside globally, and yet they comprise less than 1 per cent of genomic insights and understanding”, says Sumit Jamuar, chairman and CEO of Global Gene Corp. He spoke with LSE Business Review’s managing editor, Helena Vieira, on 9 November 2017, during Web Summit in Lisbon
On the Record: Sumit and Van Sharma
Brief interview with Sumit and Van Sharma, creators of Rupee Beer, an Indian-style lager produced with help from Shipyard Brewing Co. Topics discussed include the brothers\u27 inspiration for their beer brand, the logistics of breaking into the crowded Maine beer market, and the assistance they received from Alan Pugsley of Shipyard Brewing
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SUMIT: a computer code to interpolate and sum single release atmospheric model results onto a master grid
This report describes a computer code for the Systematic Unification of Multiple Input Tables of data (SUMIT). This code is designed to be an integral part of the Computerized Radiological Risk Investigation System (CRRIS) for assessing the health impacts of airborne releases of radioactive pollutants. SUMIT reads radionuclide air concentrations and ground deposition rates for different release points and combines them over a specified master grid. The resulting SUMIT grid may be circular, rectangular, or consist of irregularly spaced points. SUMIT can apply a different scaling factor to all data from each source. This program is designed to sum data written by the CRRIS code ANEMOS. Of course, SUMIT could read any data organized in the same manner at ANEMOS output. Descriptions of the necessary user input and data files are provided along with a complete listing of the SUMIT code. 10 references, 4 figures, 2 tables
Performance analysis of the WiNC2R platform:
A Cognitive Radio (CR) is an intelligent transceiver device, able to support multiple technologies, dynamic re-configurability, ease of programming and collaboration with other CR devices to improve the communication efficiency. The two key requirements for an efficient CR implementation are flexibility in operation/programming and speed.
WiNC2R (Winlab Network Centric Cognitive Radio) achieves high speed of operation using its hardware platform and flexibility using its software-configurable architecture. The current WiNC2R architecture implements an 802.11a-like OFDM flow. We evaluate the WiNC2R hardware architecture to see the modularity in the architecture, separation of data and control flow and the performance in terms of latency and throughput. To test the system, the Xilinx Bus Functional Model environment, which is designed to test the IBM standard bus-architecture-based hardware systems, is used. We use a simple ALOHA protocol in the MAC layer to communicate between two WiNC2R nodes and evaluate the performance under the best-case scenario, where the performance is only hindered by the architecture itself rather than external conditions like channel state.
The results of our basic experiments showed that for a single OFDM 802.11a-like flow, the Unit Control Modules (UCM) were idle for almost 80% of the total processing time.
We then tested the WiNC2R system to study the effects of changing the frame size. It was seen that the latencies in the WiNC2R transmitter are frame-size dependent while those in the receiver mainly depend on the size of the data in the last chunk rather than the size of the whole frame. We suggest that chunk size should be 2 OFDM symbols, and chunking be moved to MAC layer for better performance. We give analytical estimates of resulting performance improvement. In the next experiment, we describe virtualization in the WiNC2R by adding more flows. We describe the steps to implement the additional flows and estimate maximum number of concurrent flows possible.
In the last analysis, we show the effect of operating clock frequency on the performance. We prove that at 250 MHz operating frequency and 2 OFDM symbols per chunk, the current WiNC2R implementation will be able to satisfy the SIFS criterion.M.S.Includes bibliographical references (p. 72-73)by Sumit Satarka
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