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Increasing stature and recognition are being provided to logistic support activities by both government and industry. Within industry, the responsibility for support functions rests with the product support organization. This article discusses the growing role of data processing in contractor product support operations. It covers the responsibilities of various functional areas comprising the product support organization and briefly mentions examples of how data processing is being applied in several of these activities. The factors influencing the introduction of data processing into the product support field are also covered. Finally, the benefits achieved by the installation of machine-aided systems and the related impact on support performance are also emphasized.

Accounting has evolved over thousands of years from record keeping systems designed to document to systems designed to measure changes in economic activity. Similarly, the technology used to manage economic data has evolved from clay tokens and jars to punched card and computer systems. Throughout their development, changes in data processing technology and accounting frequently have been interrelated. Punched card and computer systems, in particular, have led to significant changes in many of the data management and information system functions of accounting. Current advances in information technology indicate that more profound changes may occur in the future. Insights into how information technology may impact accounting can be gained by examining the historical relationship between data processing technology and accounting.

AbstractSome of the principles and concepts of a revised logistics data‐processing system, proposed for the Air Force and developed at RAND, are discussed. These ideas provide a general framework in which a data‐processing system might be developed that would be able to meet the operational needs of the 1960's. The ideas developed in this paper, although pointed particularly at the Air Force, might have relevance and use for the other military services and for industry in general.

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

□ In summary, the introduction of blind persons into the field of data processing gives us much to take satisfaction in and much to be proud of. We must, however, work toward the day when the present attitudes and concerns of all levels of management are no longer a problem. From there we must move on to be sure that blind programmers have the same opportunities in supervision and management as others. The success we've had is proof that employment of the blind in data processing is a good, sound business proposition. From a selfish point of view, there is tremendous public relations value to the company that employs blind persons in data processing. The story of our success has spread far and wide. We have probably received as much favorable publicity on this as any other thing we have done. We regularly get calls from all over the country where others are considering the employment of a blind person. There has also been a positive effect on our own employees. It is one more thing that has given them pride in their company.

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.

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.