"Lists reports and translations added . September 1961 to February 1963." ; "A bibliography of reports listed in . U.S. Government research reports and Technical translations." ; Mode of access: Internet.
Mode of access: Internet. ; Vol. 1-4, no. 9 issued by Michigan State Library; v. 4, no. 10- v. 5, no. 10, by the State Library Division; v. 5, no. 11-v. 8, no. 10/11, by the Bureau of Library Services; v. 8, no. 12- by the State Library Services.
Also known as: The Grace report. ; Report represents the results of the Automated Data Processing/Office Automation Task Force of the President's Private Sector Survey on Cost Control. ; "Approved by the subcommittee for the full executive committee, spring-fall 1983." ; Mode of access: Internet.
"Summary of remarks presented to the Spring Meeting of the City Manager's Department, League of California Cities, February 14, 1963, Monterey, California." ; "P-2714" ; Mode of access: Internet.
CEI (Ciudad Energéticamente Inteligente – Energetically Smart City) aims at improving the energy and environment conditions of living areas of the city, by managing correctly the existing infrastructures and resources. The improvement will be enabled by the development of technology systems (energy nodes control technologies, energy-environmental sensors technologies, technologies for the improvement of maintenance methodologies) that make possible the control of energy and environment conditions of those areas. This project is funded by the Instituto Valenciano de Competitividad Empresarial (IVACE) and the European Union through the Fondo Europeo de Desarrollo Regional (FEDER). This work package aims at designing and developing the ICT system associated to the energy management systems considered in the project. The first layer of this architecture tackles data acquisition: energy data, weather data, and other relevant data from the energy management systems deployed in the city. After data collection, the system implements two analysis modules: · A rule-based correlation engine, which will identify events over a subset of data sources. · A big data analytics engine, which will learn from historical data by applying statistical techniques. This document describes the components of the Big Data Analytics platform, focusing on the data processing and analysis (both statistical and rule-based). Finally, a front-end web shows the information handled by the platform. ; CEI (Ciudad Energéticamente Inteligente – Energetically Smart City). Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016. File number: IMDECB/2016/60
The objective of this paper is to assess government reputation management performance by lev-eraging Big Data technology, internet, and public relations capacity, in particular creating credible information for the public. The research used a case study methodology on Indonesi-aBaik.id management for the period between 13th September to 13th October, 2017. The focus of the research was on the degree to which big data processing influenced communication, pub-lic persuasion, and content. Research techniques used to collect data including in-depth inter-views, observation, and literature review through elated techniques. Research findings indicate that effective Big Data processing is underpinned by quality data analysis and creative content development skills. This research contributes to knowledge on the application of online reputa-tion management processes for public relations officials and general readers based on the four steps of management process by Cutlip as applied to reputation management analysis using Big Data technology effectiveness. Based on the result of the research the government reputation management practice should also followed by higher competence of the public relation officials especially on the skill of reputation management process and public persuasion skill, thus, the process of creating credible information can be done adequately.
This document describes requirements for medical image data to be processed within SIMCor as part of WP6 - Data processing for anatomy and function. First, the document illustrates the specific need for image processing for both use cases, i.e., transaortic valve implantation and pulmonary pressure sensors, to better define the information to be extracted from medical images. The relevant parameters and information obtained via image processing are then visualized using examples. Finally, the document details quality criteria required for the extraction of modelling information. ; SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.
In today's highly developed world, every minute, people around the globe express themselves via various platforms on the Web. And in each minute, a huge amount of unstructured data is generated. Such data is termed as big data. User opinions are related to a wide range of topics like politics, latest gadgets and products. Here we propose to analyze the sentiments of Twitter users through their tweets in order to extract what they think. We classify their sentiments into three different polarities – "positive", "negative" and "neutral." Since, 6000 tweets are generated every second and this number is increasing, we need a robust system to process these tweets in real-time. Here, batch-processing would have its limitations and therefore a real-time and fault tolerant system, Apache Storm is used. This process as a whole is also called as Opinion Mining or voice of the customer
Description based on: 1968. ; This inventory and related data are published to provide information on the number of electronic computers in use throughout the U.S. Government, including owned and leased; average monthly hours in service; operating and capital costs; and number of manyears devoted to ADP functions. ; Report covers fiscal year. ; Mode of access: Internet. ; Vols. for 1960-19 issued by the Bureau of the Budget, Executive Office of the President; 19- issued by the General Services Administration, Federal Supply Service. ; Companion volume to: Summary of ADP activities on cost, manpower, and utilization in the U.S. government, -1970; Summary of Federal ADP activities for fiscal year, 1971; Inventory and summary of federal ADP activities for fiscal year, 1972; Summary of Federal ADP activities, 1973-1976.