Academic literature on the topic 'Training of Electronic data processing personnel'
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Journal articles on the topic "Training of Electronic data processing personnel"
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Magid, S. I., I. Sh Zagredtinov, S. V. Mishcheryakov, Ye N. Arkhipova, and V. L. Samoylov. "Standardization of digital technologies of simulator systems as a method of ensuring reliability of conditions of service of power engineering facilities (part 1)." Safety and Reliability of Power Industry 12, no. 3 (2019): 177–89. http://dx.doi.org/10.24223/1999-5555-2019-12-3-177-189.
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Matters are considered of standardization of digital simulator systems for ensuring reliability of service of various power engineering facilities. Definitions are given to such terms as reliability, functioning conditions anf safety.Industry-specific reference normative documents are presented regulating requirements to technical means for training power engineering personnel. Mandatory minimum requirements and criteria are presented to simulators of operating personnel of power generation enterprises according to the rates established. Existing regulatory technical documents and regulations on requirements to simulators of operating personnel are presented in an overview. Particular emphasis is put on creating technical specifications for certification of applied software tools of simulators of thermal power plants and networks, including compliance with requirements to identification characteristics of software tools, to functional characteristics, to data processing functions, as well as to compatibility and safety, and to user interface.Of considerable importance is the method of evaluation of the simulator, especially with consideration of today’s information technology requirements. The current state of most of developments in Russia’s simulator-building is considered in details, including: creating electronic lectures on description of technical characteristics of power engineering facilities and processes therein, generalized models of process devices, limited mode models, partial topology models (nodal models), shells for construction of process devices, integrated analysers of electric equipment, analytic software complexes and ACS.Based on detailed analysis of implementation of applied software tools in the field of simulator-building at power plants and network enterprises of Russia, substantiated conclusions are presented on the software products under consideration, which have positive references from customers and known for various reasons as “simulators”; these, though meeting the requirements stipulated by regulatory documents, do not feature to the full extent the properties necessary for full-fledged training, namely, full-scale applicability, compatibility with all modes and topological adequacy, which largely reduces the efficiency of their application in commercial operation.
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Wang, Cheng, Chenlong Yao, Pengfei Chen, Jiamin Shi, Zhe Gu, and Zheying Zhou. "Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management." Journal of Healthcare Engineering 2021 (August 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/3293457.
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The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (EMR) system. The study established an EMR information knowledge system and collected the data of patient medical records and disease diagnostic codes on the front pages of 8 clinical departments of endocrinology, oncology, obstetrics and gynecology, ophthalmology, orthopedics, neurosurgery, and cardiovascular medicine for statistical analysis. Natural language processing-bidirectional recurrent neural network (NLP-BIRNN) algorithm was used to optimize medical records. The results showed that the coder was not clear about the basic rules of main diagnosis selection and the classification of disease coding and did not code according to the main diagnosis principles. The disease was not coded according to different conditions or specific classification, the code of postoperative complications was inaccurate, the disease diagnosis was incomplete, and the code selection was too general. The solutions adopted were as follows: communication and knowledge training should be strengthened for coders and medical personnel. BIRNN was compared with the convolutional neural network (CNN) and recurrent neural network (RNN) in accuracy, symptom accuracy, and symptom recall, and it suggested that the proposed BIRNN has higher value. Pathological language reading under artificial intelligence algorithm provides some convenience for disease diagnosis and treatment.
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Kim, Dae-Yeon, Dong-Sik Choi, Jaeyun Kim, et al. "Developing an Individual Glucose Prediction Model Using Recurrent Neural Network." Sensors 20, no. 22 (2020): 6460. http://dx.doi.org/10.3390/s20226460.
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In this study, we propose a personalized glucose prediction model using deep learning for hospitalized patients who experience Type-2 diabetes. We aim for our model to assist the medical personnel who check the blood glucose and control the amount of insulin doses. Herein, we employed a deep learning algorithm, especially a recurrent neural network (RNN), that consists of a sequence processing layer and a classification layer for the glucose prediction. We tested a simple RNN, gated recurrent unit (GRU), and long-short term memory (LSTM) and varied the architectures to determine the one with the best performance. For that, we collected data for a week using a continuous glucose monitoring device. Type-2 inpatients are usually experiencing bad health conditions and have a high variability of glucose level. However, there are few studies on the Type-2 glucose prediction model while many studies performed on Type-1 glucose prediction. This work has a contribution in that the proposed model exhibits a comparative performance to previous works on Type-1 patients. For 20 in-hospital patients, we achieved an average root mean squared error (RMSE) of 21.5 and an Mean absolute percentage error (MAPE) of 11.1%. The GRU with a single RNN layer and two dense layers was found to be sufficient to predict the glucose level. Moreover, to build a personalized model, at most, 50% of data are required for training.
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Rogers, Michelle, Janice Masud-Paul, and Rania El Desoki. "Understanding the use of health information technology for maternal and child health practitioner training in low and middle income countries." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 743–46. http://dx.doi.org/10.1177/1071181319631521.
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Objectives: To assess the evidence of information communication technology (ICT) use in the training of maternal and child health (MCH) workers, discuss methodological issues present in the identified studies, and identify future work areas. Introduction: The explosive growth of cellphone usage in low and middle-income countries (LMIC) has made mobile technology an increasingly attractive form of information communication technology (ICT) to be used to meet healthcare needs that go unmet, rising due to the paucity of trained clinical workers (O’Donovan, Bersin, & O’Donovan, 2015). The portability and relative low cost of cellphones have made them ubiquitous and efficient to use. For example, subscriptions in Africa have risen from 12.4 per hundred inhabitants in 2005 to per hundred inhabitants in 2015 (ITU, 2017). ICT is an umbrella term that encompasses the hardware, software and networks that provide its users with data and information resources. As far as healthcare is concerned, these resources include access to varied tools and services such as electronic health records, point-of-care databases, decision support systems, clinical guidelines or training modules for continuing education (Machingura et al., 2014). This technology has made healthcare more efficient in affluent countries where funding and infrastructure to build, support and maintain ICT is readily available. However, ICT development is critical to LMIC’s which have the greatest barriers to effective and efficient healthcare systems and fewer resources to overcome challenges. The aims of this paper are to (1) summarize the literature on ICT use in the training of MCH workers, (2) discuss methodological issues present in the identified studies, and (3) identify future work areas. Our specific research questions are: Which ICT tools have been used in developing countries for training the MCH workforce? How successful are the tools for instructing health care workers? A major impediment to health care improvements in underdeveloped countries is the low ratio of health professionals to patients. A developed workforce is critical for sustaining healthcare infrastructure. Because there is an insufficient number of professional practitioners, many MCH health needs are met by community workers with limited or no formal training (Chipps et al., 2015). Since the level of services range from general check-ups to life-saving interventions, training must address a variety of educational requirements. (Agarwal et al., 2015). In addition to primary professional education, health workers require training for re-licensure and continuous professional development (CPD). Training, particularly in remote areas, requires travel, time away from work as well as funding for food and lodging (Chipps et al., 2015). This exacerbates uneven healthcare coverage with the majority of MCH health care workers concentrated in urban centers, leaving rural residents with inadequate services (Middleberg et al., 2013; Modi et al., 2015). ICT reduces costs by enabling personnel to remain in their communities while providing digital access to educational content, mentors, guidelines and decision support systems (Saronga et al., 2015). It is commonly recognized that underdeveloped countries have occasional brown-outs in their urban centers and the power grid may not reach rural or remote areas. Even if seed money is acquired for start-up costs, funding for technology maintenance and technical manpower beyond the pilot stage can be tentative (Achampong, 2012). Secondly, while cell phone use across LMICs has exploded in recent years, its use for advancing training has not grown in comparison. A limited number of reports have been published, reporting the use of ICT for communication (Andreatta et al., 2011), tracking health worker behavior (Awoonor-Williams et al., 2013), attitudes towards using ICT (Sukums et al., 2014; Zakane et al., 2014), and the impact of the design of ICT (Valez et. al., 2014). This paucity of studies understanding the impact of ICT on measurable training outcomes leaves a troubling gap in the literature if progress is to be made in addressing the training needs. Finally, government entities, educators and administrators may be reluctant to adopt ICT into health training for practical, fiscal and political reasons. Because health personnel may not have exposure to technology in their daily lives, staff may require basic computer training on operating systems, file management, word processing and databases in conjunction with ICT projects (Sukums, 2014). In addition to a lack of knowledge about computers in general, use of ICT also comes with associated monetary costs. Both of these issues are also exacerbated by resulting government policy changes. We endeavored to fill this gap by completing a literature review to bring the disparate work together, but to our surprise, it did not really exist. This paper reports on (1) what studies have been conducted on the use of ICT in training; (2) what common methods are used and how they are evaluated and (3) what outcomes have been reported. Methods: Medline (OVID), CINAHL and Web of Science were searched for relevant articles published between January 1, 2007 and February 28, 2017. Studies were included if they included training and education in low and middle-income countries using ICT for maternal child health workers. Results: 111 unique articles from electronic searches with seven additional articles discovered through hand-searching reference lists were identified. After review, 15 articles aligned with the necessities to analyze the current environment of the ICT tools. The study designs in the reviewed articles were usually pre- and post-evaluations (n=7). There were also a small number of single cross-sectional studies (n=3) measuring the use of the tool. Two studies also evaluated the use of electronic clinical decision support systems (CDSS) applications or algorithms. The remainder of the studies (n=3) used ICT to provide resources for meeting information needs, as well as repositories of protocols and best practice documents. The outcomes reported ranged from access to medical resources (n=3), accuracy in clinical documentation (n=2), need for remedial computer training (n=2) and an increase in clinical knowledge and proper use of protocols (n=4) Discussion and conclusion: The current evidence-base does not show a clear indication that there were particular initiatives using ICT for the training of health workers. While the majority of projects identified were shown to improve outcomes, there were limited results reported. This lack of documented evidence hinders decisions about the content and methods that should be used to support training. We are missing an opportunity for advancement. The World Health Organization identified community health worker training as a lever to move the improvement of health care in low and middle-income countries (LMICs). An understanding of barriers and facilitators to using ICTs to meet this need, provides key directions for policy makers and non-governmental organizations as they apply limited resources to these issues.
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Oliinyk, O. O. "Analysis of Information Support of Knowledge Management in Ukraine." Statistics of Ukraine 84, no. 1 (2019): 61–69. http://dx.doi.org/10.31767/su.1(84)2019.01.07.
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The article defines the place and components of IT solutions in the knowledge management system. The author substantiates that the use of modern IT solutions in the knowledge management system is an essential component of creation, search, transfer, exchange, development and effective use of knowledge. A large number of different technologies are used to integrate into a single complex of knowledge management system, including traditional automation systems and information retrieval systems, e-mail, corporate networks and Internet services, databases and data warehouses, electronic document management systems, specialized data processing programs, expert systems and databases knowledge In this case, a computer remains as a main tool of information management knowledge management in Ukraine. The scholar analysed the dynamics of the major indicators of computer devices’ use of by enterprises. The paper determined that not all enterprises in Ukraine use computers in their business activities. The proportion of enterprises, which used computers in 2017, amounted for 95.4%, which is by 0.2% more in comparison with 2015. The best situation in this aspect is in such types of economic activities as professional, scientific and technical activities; information and telecommunications; water supply; sewage, waste management. However, on average only every third employee in Ukraine used a computer to perform his/her professional duties. The author examined the main Internet-based jobs, where traditional activities are the most popular ones, namely: sending or receiving various e-mails, receiving information about goods and services. At the same time, videoconferencing is less popular, which is a negative factor in creating effective communication in the transmission, dissemination and exchange of knowledge. The paper explored the degree of using the possibilities of a corporate website for personnel training. The author determined that only every tenth enterprise in Ukraine uses its own website for the professional development of the employees. The scholar substantiated the features of social media, which promote the efficiency of their use as a tool for knowledge management. Exchanging views, opinions or knowledge within the enterprise and engaging customers in the development or innovation of goods and services remain the least popular objectives of social media work.
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Feinberg, Max H. "Data Processing and Software Requirement for Analytical Method Validation." Journal of AOAC INTERNATIONAL 81, no. 5 (1998): 1065–76. http://dx.doi.org/10.1093/jaoac/81.5.1065.
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Abstract Method documentation and validation reports are necessary steps in developing quality assurance programs in laboratories. Consequently, large amounts of data must be stored, archived, and processed in a standardized way. This paper presents these new requirements and proposes a programming approach based on Object Linking and Embedding (OLE) automation technology. Major advantages of this technique include a very flexible and modular programming technique and the possible integration of classically well known software, such as spreadsheets, into the new application. Both advantages reduce development and personnel training costs. Several examples are presented to explain some computing aspects and implementation problems
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Parmar, Jenish, Priti Mehta, Rajvi Patel, Manan Shah, and Charmy Kothari. "Raw Data Management and Data Integrity in Pharmaceutical Product Development." Applied Clinical Research, Clinical Trials and Regulatory Affairs 7, no. 3 (2020): 197–205. http://dx.doi.org/10.2174/2213476x07999200901110354.
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In pharmaceuticals, raw data management is a tedious process that comprises of obtaining the data, affirming the validity, and preserving the required data to make certain of the quality, accuracy, and timeliness of the one who is using the data. Raw data management makes processing, validation, and other essential functions simpler and less time intensive. It provides actual information, i.e., the information which has not undergone any processing either manually or through an automated system. Raw data are managed by looking into integrity issues, such as document falsification, failure to provide adequate controls, and taking appropriate measures for its prevention. Also, access to the computer system should be restricted to authorized personnel only. There should be shared just-read client accounts that will stop the sharing of important data to personnel other than the authorized one. Prevention and management include training, good documentation practice, self-inspection, management strategy, and global corrective and preventive actions. Also, a good moral practice should be taught to the employees who are into documentation work.
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Ivanov, Artem, Igor Kolosov, Vadim Danyk, Sergey Voronenko, Yurii Lebedenko, and Hanna Rudakova. "DESIGN OF MULTIFUNCTION SIMULATOR FOR ENGINE ROOM PERSONNEL TRAINING." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 10, no. 2 (2020): 62–69. http://dx.doi.org/10.35784/iapgos.1617.
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International requirements for improving energy efficiency and environmental protection and the necessary goals for their implementation in the marine industry are an actual problem. To integrate state-of-the-industry technologies and marine specialists education, the training complex is proposed. It is based on the platform of a hardware-software complex with the ability to integrate training equipment, simulators and software. That makes such a training complex multitask, universal, and flexible in achieving a variety of tasks and goals. The complex also implements high-quality education and training of marine specialists, conducting research after processing working out the results of engineering modelling of structural, thermal power, hydraulic, electrical, electronic, multi-physical and other solutions. The need to use the training complex allows us to form the necessary competence of the engine team personnel, develop methods and criteria for assessing competence, evaluate and demonstrate practical skills.
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Kovshik, A. A., and S. G. Samokhvalova. "CHOICE OF METHODS AND TOOLS FOR PROCESSING BIG DATA IN ELECTRONIC TRAINING." Messenger AmSU, no. 89 (2020): 32–35. http://dx.doi.org/10.22250/jasu.89.8.
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Indrastuty, Sri, T. Jeckie Adrian, and Rosmayani Rosmayani. "Pengaruh Pendidikan dan Pelatihan terhadap Profesionalisme Pegawai Negeri Sipil dalam Pendidikan dan Pelatihan Dinas Pendidikan Kabupaten Bengkalis." Jurnal Ekonomi KIAT 30, no. 1 (2019): 12. http://dx.doi.org/10.25299/kiat.2019.vol30(1).3874.
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Facing the global challenge as one of the efforts to build professional Civil Servants and increase their competence is through Education and Training (Diklat). In Government Regulation No. 101 of 2002 on education and training of civil servant positions, it is mentioned that the implementation of the training is expected to create employee resources that have the necessary competencies to improve the quality of professionalism. This study aims to determine the Effect of Education and Training on Civil Servant Professionalism at the Personnel Board of Education and Training Bengkalis Regency. In order to get a detailed description of the authors using descriptive research method with a quantitative approach. Samples in this study were 52 people Employment Agency Employment Education and Training Bengkalis Regency. Data collection is done through questionnaires. Testing research instrument using validity test and reliability test. Data processing techniques using simple linear regression test, and hypothesis testing to find out how much influence of Education and Training on Civil Servant Professionalism at Bengkalis District Education and Training Personnel Board. The results of this study indicate that the Influence of Education and Training on Civil Servant Professionalism at Bengkalis District Personnel Education and Training Agency categorized Strong. Therefore, efforts must be made by the Agency for Human Resources Education and Training of Bengkalis Regency for Civil Servant Competence at the Office of the Personnel Board of Education and Training of Bengkalis Regency is more optimizing the implementation of Education and Training programs of employees, especially education and functional technical training. Because the training program is very influential on improving the competence of civil service officers of the Education and Training Agency of Bengkalis Regency in particular and Civil Servants of Local Government of Bengkalis Regency in general.
Dissertations / Theses on the topic "Training of Electronic data processing personnel"
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Bennett, Sandra M. "Exploring the relationship between continuing professional education and job satisfaction for information technology professionals in higher education." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5296/.
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The study had four main hypotheses that examined the relationships between job satisfaction and the reasons for attending continuing professional education (CPE). The purpose of this study was to examine the relationships between training and job satisfaction with the objective of adding to the body of knowledge related to both job satisfaction and training and development. Participation Reasons Scale was used to measure the reasons for attending CPE activities, and the Job in General Scale and Job Descriptive Index was used to measure job satisfaction. The surveys were administered over the Internet to information technology professionals working in higher education. The participants were contacted by email with a message explaining the purpose of the research and a Web link that took the participants directly to the survey. After collecting the data, it was exported into SPSS and analyzed using Spearman Rho and Mann Whitney U statistics and a simple structure exploratory factor to determine any underlying structures between the job satisfaction and CPE.
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Emerson, Glen D. "Projected performance requirements for personnel entering information processing jobs for the federal government /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1985.
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Baxter, David. "Perception of organisational politics and workplace innovation : an investigation of the perceptions and behaviour of staff in an Australian IT services organisation /." Swinburne Research Bank, 2004. http://hdl.handle.net/1959.3/46062.
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Thesis (D.B.A.)--Swinburne University of Technology, Australian Graduate School of Entrepreneurship, 2004.<br>A thesis submitted to the fulfilment of the requirements for the degree of Doctor of Philosophy, Australian Graduate School of Entrepreneurship, Swinburne University of Technology, 2004. Typescript. Includes bibliographical references (p. 229-230).
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Fritz, Godfried. "The relationship of sense of coherence to health and work in data processing personnel." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/16845.
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Bibliography: pages 80-86.<br>The aim of the present study was to test a model of stress and to examine whether the theoretical construct of sense of coherence (SOC) moderated the relationship between stressors and health-related and work-related outcomes. This construct of SOC was identified by an Israeli medical sociologist, Antonovsky. He maintained that the current focus of research on stress is largely pathogenic in nature. He suggested that it would be of value to shift research more towards that which identifies the origins of health. He consequently developed the term "salutogenesis", which requires people to focus on those factors which promote well-being. He also argued that people are not either sick or well, but rather are located on a continuum between health-ease/dis-ease. With respect to their health, persons will find themselves somewhere along this continuum, where they may shift between the two positions. He then suggests that certain factors contribute to facilitating the movement along this continuum. These factors together form a construct which he calls the SOC. The SOC is comprised of core components. He hypothesizes that someone with a strong SOC is likely to make better sense of the world around him/her, thereby engendering resilience towards the impinging stressors. The person with a weak SOC is likely to capitulate to these stressors · more readily and by succumbing to them is going to increase the likelihood that (s)he will move to the dis-ease end of the continuum. This study attempted to investigate the following research questions, namely, whether (1) the stressors were related to the stress outcomes, (2) the SOC was related to the stressors and outcomes, and (3) the SOC moderated the relationships between stressors and outcomes. In the present study the subjects were drawn from all data processing professionals in a large financial organisation. The respondents (~ = 194) replied to a questionnaire which contained scales which measured a variety of job-related stressors, an SOC scale as well as job-related and health-related outcome variables. Intercorrelations between the stressor, moderator and outcome variables were calculated. Other statistical procedures that were utilized were subgroup analyses and the moderated multiple regression analyses. Partial support for all three research questions was obtained. Four of the six stressors were found to correlate significantly with somatic complaints, thereby suggesting that stressors result in persons feeling the results of stress and reporting them physically. The SOC was found to relate to some of the stressors and outcome variables. This would lend partial support to an interpretation of the SOC as having a main effect relationship to stressor and outcome variables. In the subgroup analyses the results showed that out of a possible 54 relationships, the SOC moderated in only seven of them that the moderated multiple regression (MMR) analyses showed out of 54 possible relationships, the SOC moderated in 12 of them health-related variables. Furthermore, the SOC moderated between six outcome variables and six work-related outcomes. These findings then partially support research question 3, which examined whether the SOC would moderate relationships between stressors and outcome variables. This study was concluded by a discussion of the findings, its implications, and the limitations of this research.
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Besich, John S. "Job Embeddedness as a Predictor of Voluntary Turnover: Validation of a New Instrument." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4370/.
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Voluntary turnover has become a problem for many organizations in today's society. The cost of this turnover reaches beyond organizational impact, but also affects the employees themselves. For this reason, there has been a plethora of research conducted by both academicians and practitioners on the causes and consequences of voluntary turnover. The purpose of this study is to test the validity and generalizability of the job embeddedness model of voluntary turnover to the information technology (IT) industry. The IT field has been plagued with high turnover rates in recent years. In this study, the job embeddedness model (Mitchell et al., 2001) is applied to a population sample consisting of health care information technology employees.
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Cordova, Hector. "Analysis of a parallelized neural network training program implemented using MPI and RPCs." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
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Hutton, Alistair James. "An empirical investigation of issues relating to software immigrants." Thesis, Connect to e-thesis, 2008. http://theses.gla.ac.uk/136/.
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Thesis (Ph.D.) - University of Glasgow, 2008.<br>Ph.D. thesis submitted to the Department of Computing Science, Faculty of Information and Mathematical Sciences, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
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Thompson, John Ronald. "Development and Analysis of a Model for Change in the Workplace, Using Quasi-Experimentation with Computer Professionals in Northwestern Investor Owned Utilities." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/1248.
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Computer professionals have been agents of change in many organizations. In some cases the role inadvertently became theirs as they were the ones at the vanguard of implementing the new information processing technology in organizations. While in other cases they were the catalysts for change, to force new methods/procedures onto lethargic organizations. While introducing change on others in the organization and adapting to new technological changes themselves, the computer professionals have not really had to face a significant change in their status, power, or importance to the organization. The introduction of the personal computer has brought about significant change in the way the job of the computer professional is perceived by many in the business world. While this change is personally affecting the way they do their job, there has not been a noticeable attempt by those managing computer professionals to deal with the human emotions engendered by such a change. Part of the reason for this lack of attention may be due to the lack of a model as to how computer professionals react to change. Such a model would provide a system whereby it would be possible to recognize where efforts could be made to measure, predict, and modify situations so that a smooth transition can be made to the change. Toward this end a model was developed which presents a system as to how computer professionals react to change. This dissertation presents the model, surveys a population of computer professionals, and analyzes the model using data gathered from the population. The data was gathered in the form of a self administered survey which was given to computer professionals working for six investor owned electric and gas utilities in the Northwestern United states. They answered questions on a scale of from one to five as to their emotions and perceptions about the introduction of personal computers into their organizations. These questions spanned the timeframe as the organizations migrated from the early beginnings of personal computer introduction, to a situation where the use of personal computers was widespread in the company. In the case of three of the companies the personal computer had not yet achieved widespread use at the time of the survey. The data gathered from the computer professionals was statistically analyzed to see if relationships exist between the model and the data. Additionally, interesting demographic data was analyzed to see if certain other factors affected the computer professional's perception as to the impact of the personal computer on their quality of worklife.
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Hunter, Marc W. "CRT anti-glare treatments, image quality, and human performance." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/52323.
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This dissertation was a two-phase effort. Phase I investigated the physical image quality of 16 mesh, etched, and quarterwave antireflection filters for varying levels of filter transmissivity. Three levels of ambient lighting and two levels of monochrome CRT resolution were combined factorially with the filters. In addition, user measures of readability, legibility, and perceived image quality were obtained for these same filter and environmental conditions. Quantitative models were developed to predict the performance and subjective data based on signal and noise measures derived from the physical measurements. Phase II examined the effects of a wide range of filter transmissions and diffuse illuminance on measured image quality and the same user measures as in Phase I.
Phase I showed that while none of the glare filters yielded improved readability or legibility over a baseline condition, the etched and low transmission filters were notable for their degradation of human performance. Mesh and quarterwave filters were found to improve perceived image quality when a specular glare source was present. Modeling was minimally successful for the reading and legibility tasks, but yielded good fit models for perceived image quality. Phase II showed that when even extreme losses in display contrast occurred, users were capable of good reading and legibility performance. Perceived image quality was inversely related to illuminance level. Prediction of performance by image quality metrics was generally not too successful.
It was concluded that in office-type environments, mesh or quarterwave filters can be used to improve perceived image quality when specular glare sources are present, but that no anti-glare filters yielded enhanced short-term readability or legibility over a baseline. Etched filters were not recommended. Measures of physical image quality proved to be good predictors of perceived image quality, but not of timed measures of readability or legibility. Under moderate lighting conditions, monochrome CRTs should be fitted with fairly high transmission filters as it was found the contrast enhancement offered by low transmission filters had negligible effects on performance. Finally, consistent and repeatable findings of degraded legibility for high luminance contrast levels (low illuminance) generated questions as to the existing standards regarding maximum contrast requirements for CRT use.<br>Ph. D.
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Geigner, Charles L. Hines Edward R. "Women and occupational choice a comparison of women in computing to women in a traditional female occupation /." Normal, Ill. Illinois State University, 2001. http://wwwlib.umi.com/cr/ilstu/fullcit?p3064481.
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Thesis (Ph. D.)--Illinois State University, 2001.<br>Title from title page screen, viewed April 6, 2006. Dissertation Committee: Edward R. Hines (chair), Galen B. Crow, Mohamed Nurawaleh, David A. Strand, William L. Tolone. Includes bibliographical references (leaves 134-144) and abstract. Also available in print.
Books on the topic "Training of Electronic data processing personnel"
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Harrison, Richard. CDIA training & test preparation guide. Specialized Solutions, Inc., 1998.
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Ratliff, Randy L. Network+ certification training guide. Marcraft International Corp., 1999.
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Ratliff, Randy L. Network+ certification training guide. 2nd ed. Prentice Hall, 2003.
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MCTS self-paced training kit (exam 70-529): Microsoft .NET framework 2.0 distributed application development. Microsoft Press, 2007.
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Brooks, Charles J. The new A+ certification training guide: Theory. 7th ed. Marcraft International Corp., 1998.
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Ian, McLean. Konfigurieren von Windows 7: Original Microsoft Training fu r Examen 70-680. Microsoft Press, 2010.
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Brooks, Charles J. The new A+ certification training guide: Lab guide. 2nd ed. Marcraft International Corp., 1998.
Find full textBook chapters on the topic "Training of Electronic data processing personnel"
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Zhang, Mingguang, and Lisa Zhu. "Training Mode of Individualized Skilled Talents Based on Electronic Communication Specialty." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_91.
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Chernikov, Alexander Sergeevich, Ravil Shamilievich Zagidullin, and Alexander Alexandrovich Chibisov. "Integration of Moodle and Electronic University Systems at BMSTU." In Advances in Higher Education and Professional Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-3395-5.ch035.
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The free platform Moodle was integrated with protected University Administrative Information System Electronic University (UAIS EU) of Bauman Moscow State Technical University, which serves to support the administrative work for control of educational process. The following main problems were solved: creation of unified data representation in the two systems; creation of students' and training courses' databases in Moodle based on data from UAIS EU. As result unique software was developed, new quality of service was obtained, namely different sides of University activity such as teaching, learning, and administrative control of educational process were automated and joined together; the time required for information processing and administrative decision-making was reduced; the number of errors in the systems due to the influence of a human factor was reduced. The results obtained can be used to simplify the work of teachers and enhance the performance and operational efficiency of the administrative system at any university.
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Gibson, Candace J., and H. Dominic Covvey. "Demystifying eHealth Human Resources." In Advances in Healthcare Information Systems and Administration. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-885-2.ch013.
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The introduction and use of information and communication technologies (ICT) in health care, particularly the electronic health record (EHR), may be seriously hampered or delayed by the lack of available human resources with the necessary skills and competencies in e-health. A number of different types of professionals are needed, and an appropriate mix of skills and workers who can complement one another in the final deployment of the EHR and in the appropriate and best use and management of the health information it contains. These include health informatics (HI) professionals or health informaticians, health information management (HIM) professionals, and others, with not only knowledge of ICT, but also knowledge of the health system, data standards, and interoperability across platforms; privacy and security of health records; human factors and process engineering; project management and technology adoption; and user-supporting mechanisms. A human resources strategy is needed to address the current shortage of skilled workers and to develop a long term strategy for education and training of e-health personnel necessary to ensure the continued quality of health data collected, its security and confidentiality, and to manage and maintain the systems and data in the future.
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Gottschalk, Petter. "IT in Knowledge Management." In Knowledge Management Systems in Law Enforcement. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-307-4.ch003.
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As we trace the evolution of computing technologies in business, we can observe their changing level of organizational impact. The first level of impact was at the point work got done, and transactions (e.g., orders, deposits, reservations) took place. The inflexible, centralized mainframe allowed for little more than massive number crunching, commonly known as electronic data processing. Organizations became data heavy at the bottom, and data management systems were used to keep the data in check. Later, the management information systems were used to aggregate data into useful information reports, often prescheduled, for the control level of the organization: people who were making sure that organizational resources like personnel, money, and physical goods were being deployed efficiently. As information technology (IT) and information systems (IS) started to facilitate data and information overflow, and corporate attention became a scarce resource, the concept of knowledge emerged as a particularly high-value form of information (Grover & Davenport, 2001).
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Rodger, James A. "Using Continuous Voice Activation Applications in Telemedicine to Transform Mobile Commerce." In Advances in Mobile Commerce Technologies. IGI Global, 2003. http://dx.doi.org/10.4018/978-1-59140-052-3.ch012.
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This chapter is designed to relate the rationale used by the Department of Defense (DoD), for the military to adapt the principles of Mobile and Voice Commerce to meet increasing global crises and to find ways to more effectively manage manpower and time. A mobile Telemedicine package has been developed by the Department of Defense to collect and transmit near-real-time, far-forward medical data and to assess how this Web-based capability enhances management of the battlespace. Telemedicine has been successful in resolving uncertain organizational and technological military deficiencies and in improving medical communications and information management. The deployable, mobile teams are the centerpieces of this telemedicine package. These teams have the capability of inserting essential networking and communications capabilities into austere theaters and establishing an immediate means for enhancing health protection, collaborative planning, situational awareness, and strategic decision making through Web-based internet applications. In order to supplement this mobile commerce aspect of telemedicine, U.S. Navy ships have been utilized to integrate voice commerce interactive technologies to improve medical readiness and mobility. An experimental group was tasked to investigate reporting methods in health and environmental surveillance inspections to develop criteria for designing a lightweight, wearable computing device with voice interactive capability. This chapter is also designed to relate the rationale used by the Department of Defense and the Test and Evaluation (T&E) Integrated Product Team, in order to determine the military utility of the Joint Medical Operations—Telemedicine Advanced Concept Technology Demonstration (JMO-T ACTD) and continuous voice activation applications. Voice interactive computing devices are used to enhance problem solving, mobility and effectiveness in the battlespace. It improves efficiency through automated user prompts, enhanced data analysis, presentation, and dissemination tools in support of preventive medicine. The device is capable of storing, processing, and forwarding data to a server. The prototype devices have enabled quick, efficient, and accurate environmental surveillance. In addition to reducing the time needed to complete inspections, the device supported local reporting requirements and enhanced command-level intelligence. This chapter further focuses on developing a holistic model of implementing a strategy for mobile telemedicine. The model synthesizes current thinking on transformation into a holistic model and also explains the integrative influence of vision on the other four model components: environment, people, methodology, and IT perspective. The model was tested by Testing and Evaluating (T&E) the JMO-T ACTD. JMO-T ACTD has developed a very successful training program and is very aware of the importance of planned change. Top military officials, such as the Commander in Chief (CINC), are actively involved in change and are committed to people development through learning. The model served an applied purpose by allowing insights into how well the military organization fit current theory. The model also fit a theoretical purpose by organizing a holistic, comprehensive framework. Accordingly, we have organized and synthesized the literature into five interrelated components that act as a fundamental guide for research. The model also helped to identify a theoretical link and apply it to the internal operations of the military and its adaptation of mobile e-commerce principles to more effectively deliver telemedicine benefits to military personnel.
Conference papers on the topic "Training of Electronic data processing personnel"
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Borrison, David E. "Strategic Automation for Citrus Processing." In ASME 2000 Citrus Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/cec2000-4601.
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AUTOMATION: Automatically controlled operation of an apparatus, process, or system by mechanical or electronic devices that take the place of human organs of observation, effort, and decision. (Merriam-Webster) STRATEGIC: Of great or vital importance within an integrated whole or to the taking place of a planned or unplanned occurrence. (Merriam-Webster) Strategic automation requires a comprehensive plan for automating the entire plant. This master plan must be followed as individual areas are automated and incorporated into the overall plan. The master plan will set all the standards for process and instrument drawings, equipment identification, instrument tags, control systems, operator interface, and control room locations. With a master plan the following advantages are realized; * Newly automatedareas are easily integrated into the existing infrastructure. * Fewer operators controlling multiple process areas from a single control room. * Standardized operator interfaces minimize operator training and cross training. * Maintenance personnel require less training because of common equipment. * Spare parts inventories are reduced. * Process changes or upsets can be sent throughout the system to adjust other affected areas. * Monitoring and recording data from any area of the plant is easily accomplished. Without a master plan none of the advantages are guaranteed. The cost to link and maintain different systems can be more expensive than the original cost of the system. Exchanging data between systems, or capturing and recording data across multiple systems can become very complex and expensive. Even the best designed, best of breed individual systems don’t always tie together to form a complete and comprehensive overall plant system. Once the master plan is in place, all areas of a citrus plant can be automated. Some areas can be fully automated while others are better controlled by partial automation with enhanced information made available to the operators. Some decisions are driven by measurement instrument availability, while others are purely economical. The ultimate goals are better and more consistent product quality with fewer operating personnel, a process that responds automatically plant wide to changes, and data gathering to monitor and improve your entire process. This paper will address the typical process areas in a citrus plant and discuss viable control techniques as they apply to each area. It will also discuss the interactions between processing areas and the monitoring of the plant as a whole. Paper published with permission.
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Lay-Ekuakille, Aime, and Amerigo Trotta. "Processing stabilometric data for electronic knee: Training and calibration." In 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings. IEEE, 2010. http://dx.doi.org/10.1109/imtc.2010.5488104.
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Azzouz, Salim, Johnny Blevins, Tyler Thomas, et al. "Data Collection and Analysis Using a Wind Turbine and a Photovoltaic Solar Panel." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11751.
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Abstract A weather data collection study is currently conducted using a renewable energy training system. The system is composed of a LabVolt trainer, two sun tracking photovoltaic solar panels and a small wind turbine. The LabVolt training system is located in one of the McCoy School of Engineering laboratories, the solar panels and the wind turbine are located in the neighborhood of the Engineering building at Midwestern State University in Wichita Falls, Texas. A set of meteorological data collecting outdoor sensors to monitor the impact of weather conditions on the power generation of the sun-tracking photovoltaic solar panels and the wind turbine have been installed on the building roof. Weather parameters such as atmospheric temperature, pressure, humidity, and rainfall are monitored using a Davis Vantage Pro 2 data collecting system. A number of LabVIEW data acquisition cards and signal processing modules are used to monitor the sun-tracking photovoltaic solar panels’ output voltage, the wind turbine output voltage, the atmospheric temperature, the solar irradiance, and the wind direction, speed, and RPM. A voltage divider has been built to step down the 90V DC voltage produced by the solar panels to 12V DC voltage required for the trainer electrical circuits. A LabVIEW data processing program is used to create instantaneous graphic displays of the collected data on a monitoring screen. The LabVolt trainer is equipped with two charge controller electronic devices, one is used for the sun tracking photovoltaic solar panels, and one is used for the wind turbine. They are used to control the flow of electrical energy through a set of electrical loading devices and a set of storages batteries. Additionally, the LabVolt trainer is equipped with two kilowatt-hour-meters counting the electrical energy consumed by the electrical loads. The trainer is also equipped with two inverters transforming the 12 V DC voltage collected from both energy producing devices to 120 V that can be used by the electrical loading devices. A brief description of all used electronic components and devices is provided in the paper, as well a detailed experiment set-up with a procedure to run them. The project has been divided into three consecutive phases. The first phase dealt with connecting the solar panels, wind turbine, and data collecting sensors to the LabVIEW data acquisition software. The second phase is currently dealing with setting up the trainer solar and wind electricity providing circuits. In the third upcoming phase, it is expected that the data collected by the sensors will be gradually archived using Excel files and analyzed for weather data correlation purposes. It is also expected that the training system will be used to teach upcoming mechanical engineering students about how to set up an independent renewable energy system and the necessary equipment required to run it.
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Hsiao, Jen-Hsuan, Yu-Heng Deng, Tsung-Ying Pao, Hsin-Rung Chou, and Jen-Yuan (James) Chang. "Design of a Wireless 3D Hand Motion Tracking and Gesture Recognition Glove for Virtual Reality Applications." In ASME 2017 Conference on Information Storage and Processing Systems collocated with the ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/isps2017-5450.
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Hand motion tracking and gesture recognition are of crucial interest to the development of virtual reality systems and controllers. In this paper, a wireless data glove that can accurately sense hands’ dynamic movements and gestures of different modes was proposed. This data glove was custom-built, consisting of flex and inertial sensors, and a microcontroller with multi-channel ADC (analog to digital converter). For the classification algorithm, a hierarchical gesture system using Naïve Bayes Classifier was built. This low training time recognition algorithm allows categorization of all input signals, such as clicking, pointing, dragging, rotating and switching functions when performing computer control. This glove provided a more intuitive way to operate with human-computer interface. Some preliminary experimental results were presented in this paper. The data glove was also operated as a controller in a First-Person Shooter (FPS) game to perform the usability of the proposed glove.
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Clarke, Cody J., Simeon R. Eberz, and Ephraim F. Zegeye. "An Affordable and Portable Palpable System for Sensing Breast Tissue Abnormalities." In ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/smasis2020-2273.
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Abstract Due to the high cost of equipment and lack of trained personnel, manual palpation is a preferred alternative breast examination technique over mammography. The process involves a thorough search pattern using trained fingers and applying adequate pressure, with the objective of identifying solid masses from the surrounding breast tissue. However, palpation requires skills that must be obtained through adequate training in order to ensure proper diagnosis. Consequently, palpation performance and reporting techniques have been inconsistent. Automating the palpation technique would optimize the performance of self-breast examination, optimize clinical breast examinations (CBE), and enable the visualization of breast abnormalities as well as assessing their mechanical properties. Various methods of reconstructing the internal mechanical properties of breast tissue abnormalities have been explored. However, all systems that have been reported are bulky and rely on complex electronic systems. Hence, they are both expensive and require trained medical professionals. The methods also do not involve palpation, a key element in CBE. This research aims in developing a portable and inexpensive automated palpable system that mimics CBE to quantitatively image breast lumps. The method uses a piezoresistive sensor equipped probe consisting of an electronic circuit for collecting deformation-induced electrical signals. The piezoresistive sensor is made by spraying microwave exfoliated graphite/latex blend on a latex sheet. Lumps can be detected by monitoring a change in electrical resistance caused by the deformation of the sensor which is induced by abnormalities in the breast tissue. The electrical signals are collected using a microcontroller and a pixelated image of the breast can be reconstructed. The research is still in progress, and this report serves as proof of concept testing by pressing the probe with hand pressure and reconstructing the electrical signals using Microsoft Excel. Four maps were created for qualitatively analyzing the result. The pressure maps clearly display areas where pressure was applied, indicating the potential of the probe in detecting breast tissue abnormalities. The pressure maps show the feasibility for using such a sensor for the application in CBE. Furthermore, a sensor such as this is also possible of detecting the depth and size of masses within breast tissue, which, may lead to a more accurate diagnosis. Better manufacturing, accuracy, precision, and realtime data feeds are areas of future consideration for this project. This project involves knowledge and applications from mechanical, electrical, computational, and materials engineering.
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Galindo-Garci´a, Iva´n F., and Sau´l Rodriguez-Lozano. "Implementation and Validation of a Generic Real-Time Hydroelectric Plant Simulator." In ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASMEDC, 2011. http://dx.doi.org/10.1115/power2011-55315.
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A generic real-time hydroelectric plant simulator has been implemented and validated. The simulator has the capability to run entirely in a simulation mode or to use actual control components running in parallel with simulated components. This flexibility results in a wide range of applicability, for example, it may be used for training of I&C personnel, tuning of turbine governors or testing the performance of actual control equipment. A further important feature of the simulator is its generic nature. A user-friendly interface is employed to parameterize any particular hydroelectric unit that uses a Pelton, Kaplan, or Francis turbine. The simulator includes mathematical models for the major systems in a hydroelectric plant, namely, hydraulic system (dam, water conduits, and turbine), electric generation (synchronous generator and excitation system) and power system (electrical grid). The simulator has been implemented on a GNU/Linux operative system with a Fedora Core 6 distribution and within a complete simulation environment, which includes real-time conditions management, graphical interfaces to operate the simulator, databases to store variables, and post-processing tools to visualize results. For control equipment testing applications an I/O data system is employed for the interaction between the simulator and the control equipment being tested. Comprehensive tests have been conducted and results compared with available plant data as validation. Three hydroelectric plants have been selected for tests: a 55 MW Pelton turbine plant, a 105 MW Kaplan turbine plant, and a 180 MW Francis turbine plant. A wide range of tests can be simulated, for example: turbine startup, disturbances in turbine speed or load, load rejection, electrical or mechanical trips, etc. Comparisons between calculations and plant data show in general relatively good agreement. A few selected tests are presented.
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LeCompte, Brian, Tosin Majekodunmi, Mike Staines, et al. "Machine Learning Prediction of Formation Evaluation Logs in the Gulf of Mexico." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31093-ms.
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Abstract The objective of the paper is to describe the application of artificial intelligence software to predict formation evaluation logs (compressional sonic, shear sonic and density) using only gamma ray, and resistivity log data and drilling dynamics data as received by the electronic drilling recorder (EDR). The software was applied real-time as a well was being drilled in deepwater Gulf of Mexico. Thorough examination and conditioning of EDR and wireline data give way to a training model construction for the artificial neural network (ANN) using full suites of log-data in offset wells. Next, a neural network architecture and associated hyperparameters are chosen and tested. The fully trained and validated model is applied to the gamma ray, resistivity and EDR of the target well while drilling. Real-time EDR and wireline data flow via WITSML from rig to cloud and data is delivered to the client. The results of the study indicate the simulated log data were comparable to those measured from conventional logging tools over the study area. In both blind well tests the density agreed with the conventional log results within 1.1 % and the compressional within 2.51 % (Figure 1). Each of these is well within the range of variance expected of repeat runs of a conventional logging tool. A primary driver for near real-time logs was to confirm structural depth of the target sands along the well bore. There was a depleted sand below the expected TD of the well that, if encountered, could have led to total losses and possible loss of the wellbore. It was critical to have real-time logs to characterize the sands above the depleted sand, using every possible petrophysical and geologic character to refine the log correlation. This integration of all the logs provided the best interpretation of the sand quality and led toward the completion decision. AI-based logs are a highly cost-effective alternative to LWD logging. It presents an environmentally friendly approach as there is no logging personnel on-site and no expensive and potentially dangerous nuclear sources in the hole The deployment of this patented, machine learning-driven, real-time simulation of formation evaluation logs is unique in using only gamma ray, resistivity and drilling data. It is particularly useful in the overburden section where formation evaluation tools are often not run for cost reasons, in side-tracks, in HP/HT settings and operational risk mitigation. It provides additive data for other petrophysical/QI/rock property analyses including seismic inversion, shale content, porosity, log QC/editing, real-time LWD, drilling optimization, etc.
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Lyashevskaya, O. N., T. O. Shavrina, I. V. Trofimov, and N. A. Vlasova. "GRAMEVAL 2020 SHARED TASK: RUSSIAN FULL MORPHOLOGY AND UNIVERSAL DEPENDENCIES PARSING." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-553-569.
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The paper presents the results of GramEval 2020, a shared task on Russian morphological and syntactic processing. The objective is to process Russian texts starting from provided tokens to parts of speech (pos), grammatical features, lemmas, and labeled dependency trees. To encourage the multi-domain processing, five genres of Modern Russian are selected as test data: news, social media and electronic communication, wiki-texts, fiction, poetry; Middle Russian texts are used as the sixth test set. The data annotation follows the Universal Dependencies scheme. Unlike in many similar tasks, the collection of existing resources, the annotation of which is not perfectly harmonized, is provided for training, so the variability in annotations is a further source of difficulties. The main metric is the average accuracy of pos, features, and lemma tagging, and LAS. In this report, the organizers of GramEval 2020 overview the task, training and test data, evaluation methodology, submission routine, and participating systems. The approaches proposed by the participating systems and their results are reported and analyzed.