Thematische Bibliographien / Information Technology|Engineering, System Science|Operations Research

Auswahl der wissenschaftlichen Literatur zum Thema „Information Technology|Engineering, System Science|Operations Research“

Autor: Grafiati

Veröffentlicht am 14. September 2021

Zuletzt aktualisiert am 8. Februar 2022

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Zeitschriftenartikel zum Thema "Information Technology|Engineering, System Science|Operations Research":

Li, Hui Jing, Guang Ji Tong und Ying Cao. „Research on Analysis of Agricultural Engineering Information System“. Key Engineering Materials 522 (August 2012): 859–62. http://dx.doi.org/10.4028/www.scientific.net/kem.522.859.

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With the development of society and the progress of science and technology, the agricultural engineering information grows fast. For this, this paper takes agricultural engineering information system as the object, analyzes the agricultural engineering information system by SWOT analysis method. Then proposed the countermeasure of establish agricultural engineering information system operation mechanism.

Hatakeyama, Yutaka. „Special Issue on Information Medical Science“. Journal of Advanced Computational Intelligence and Intelligent Informatics 16, Nr. 1 (20.01.2012): 25. http://dx.doi.org/10.20965/jaciii.2012.p0025.

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One important and interesting application in computational intelligence technology is medical application. Medical engineering research covers such areas as medical image processing. With most health information now described electronically, hospitals are accumulating large amounts of medical data, including imaging, text, and structured materials. This has made ginformation medical scienceh vastly more important in improving healthcare technology. This special issue introduces an application based on hospital data, medical care support systems, and medical image processing. The application deals with analytical approaches, navigation systems, medical data management, and text mining for summary data. The support system shows diagnosis and robotassisted therapy. Medical imaging targets X-ray, blood cell, and ultrasonography images. As guest editors, we can assure the readers that the papers in this special issue have great social impact in this research area and encourage good relations with engineering and medical practice approaches. We thank the contributors and reviewers for introduce these latest achievements in this exciting field.

Kumar, Subodha, Vijay Mookerjee und Abhinav Shubham. „Research in Operations Management and Information Systems Interface“. Production and Operations Management 27, Nr. 11 (November 2018): 1893–905. http://dx.doi.org/10.1111/poms.12961.

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OLSON, DAVID L., und DESHENG DASH WU. „MULTIPLE CRITERIA ANALYSIS FOR EVALUATION OF INFORMATION SYSTEM RISK“. Asia-Pacific Journal of Operational Research 28, Nr. 01 (Februar 2011): 25–39. http://dx.doi.org/10.1142/s021759591100303x.

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Information technology (IT) involve a wide set of risks. Enterprise information systems are a major developing form of information technology involving their own set of risks, thus creating potential blind spots. This paper describes risk management issues involved in enterprise resource planning systems (ERP) which have high impact on organizations due to their high cost, and their pervasive impact on organizational operations. Alternative means of acquiring ERP systems, to include outsourcing to application service providers (ASPs) are available. But outsourcing ERP involves many risks that are often overlooked. After identification of typical risks involved with representative alternative forms of ERP, multiple criteria analysis is proposed as a useful tool for tradeoff analysis in this selection decision. SMART is compared with popular approaches such as DEA and PCA- based DEA. A demonstration of how multiple criteria analysis can be applied in the international ERP alternative selection decision is given by including outsourcing to China and South Korea.

Zhang, Ping. „Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design“. Journal of Healthcare Engineering 2021 (02.04.2021): 1–14. http://dx.doi.org/10.1155/2021/5592185.

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With the development of science and technology, more and more operations are performed in the cardiac catheterization laboratory. During such operations, a lot of relevant imaging data need to be retained. These imaging data can be used for clinical and scientific research and teaching applications, but imaging data security has also become an increasingly important issue. This article is based on the Internet of Things cardiac catheterization laboratory information management system image data security mechanism system research. First of all, this article adopts the literature method to study the application research of the Internet of Things technology in the medical field, as well as the relevant medical imaging data security technology methods. Then, the medical image data security mechanism was designed, and the image data security model of the cardiac catheterization laboratory information management system based on the Internet of Things was established. Finally, the application of decentralized management of the Internet of Things RFID technology on medical equipment and the security of the application of this technology on medical imaging data are analyzed, and finally a conclusion is drawn. The image data security mechanism established in this article is based on the Internet of Things technology. The security rate of image information data reaches more than 95%, the information data security level reaches level 1, and the average data missing rate is only 4.7%. It is a brand-new breakthrough, hoping to further improve the efficiency of hospital information management and protect the safety of medical information.

Shao, Xin Yu, K. Lin, Liang Gao und Hao Bo Qiu. „Research on Tolerance Analysis System Based on 3D Collaborative Design Platform“. Advanced Materials Research 44-46 (Juni 2008): 253–60. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.253.

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Computer supported collaborative work (CSCW) technology is used to solve the resource-sharing problems in collaborative design, analysis, and manufacture. To address this need, a system called CollabVue for collaborative product design between designers and manufacturers is proposed in this study. This paper first introduces the framework of tolerance analysis system based on CollabVue, and then discusses the utilization of geometric topology information in 3D model to resolve the problem of dimension information input and the related specific operations. Based on object-oriented technology, a new data structure to interactively pick up and store dimension information is established. Finally the model uses iterative method to compute technological dimension chain equation.

Du, Xingliang. „Research on Engineering Project Management Method Based on BIM Technology“. Scientific Programming 2021 (09.07.2021): 1–10. http://dx.doi.org/10.1155/2021/7230585.

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Construction projects require a significant amount of money and other resources in order to carry them out in an effective way. Cost control is a critical step in ensuring the success of the project and increasing its value. Nowadays, the large-scale application of BIM technology has ushered a technical change in the development of construction projects, which has greatly increased the level and efficiency of project management. Due to BIM technology, the construction engineering quality is significantly improved which really helped in obtaining the social and economic benefits. However, the BIM technology in our country is started relatively late and the technical force is not strong enough; then correspondingly, we must deal with many problems in the process of developing and using BIM technology based projects. In view of the fact and to address this issue, this paper establishes a three-dimensional architectural model based on the relevant information and data of the construction project using the BIM technology. The proposed model optimizes the clustering of construction project information data and adaptively configures the whole life cycle process of the construction projects. In addition, the performance of the proposed system has been compared and tested with the other systems as well which shows how good the proposed system is, as compared to the other systems. Further, the proposed model makes the artificial intelligence efficiency of the project management better. The simulation results show that the model not only has good access and query capabilities but also greatly improves the intelligence level of the project management.

Yang, Ching Nung, Ming Yang Chen und Chi Shun Laih. „Applying RFID technology in warranty service information system“. International Journal of Services Operations and Informatics 2, Nr. 3 (2007): 267. http://dx.doi.org/10.1504/ijsoi.2007.015328.

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Wang, Qing, und Hui Hua Jian. „Discussion of Information Exchange Process of Electrical and Mechanical Open System“. Applied Mechanics and Materials 416-417 (September 2013): 1479–83. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1479.

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Electrical and mechanical engineering is the main object of industrial science and technology research, which greatly promotes the reform and development of industrial science and technology. Open system is a term widely used in the fields of computer system structure, computer system, computer software and communication system, as well as the main representation of multi-function application of information technology. This thesis first of all makes an introduction of the application characteristics of open system. It then makes an analysis of the development trend of electrical and mechanical engineering and the process of electrical and mechanical open system information exchange based on it, so as to contribute to the following researches.

Jingjing, Yu. „Research on seismic technology of civil engineering structure based on GIS system“. E3S Web of Conferences 283 (2021): 01005. http://dx.doi.org/10.1051/e3sconf/202128301005.

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The development and application of seismic technology in civil engineering structures is of great significance to extend the service life of buildings and improve the overall quality of buildings, so it is necessary to further strengthen the research on it. Geographic Information System (GIS) is a new subject integrating computer science, informatics, geography and other sciences. Because of its rapid and convenient management of massive data, GIS has been widely used in the fields of resource development, environmental protection, urban planning and construction, disaster monitoring and evaluation, etc. GIS is used to manage and analyze the data, and the damage detection module in the system is used to realize the structural damage identification. And use that special thematic analysis function of GIS to display the data on the map in the form of statistical graph, so that users can find the damage position more directly and clearly.

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Dissertationen zum Thema "Information Technology|Engineering, System Science|Operations Research":

Koc, Levent. „Application of a Hidden Bayes Naive Multiclass Classifier in Network Intrusion Detection“. The George Washington University, 2013.

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Mullaseril, Paul Abraham 1959. „Capacitated rural postman problem with time windows and split delivery“. Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282300.

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The importance of effective and efficient distribution is evident from its associated costs. Transportation and shipping alone comprise roughly 15 percent of a product's sales in the U.S. Physical distribution is very energy and labor intensive, which have both become relatively more expensive in the last 10-15 years. Not surprisingly, there is a growing demand for automated planning systems that produce economical routes. Other than the cost savings, introduction of these systems enables companies to maintain a higher level of service for their customers, it makes them less dependent on human planners, it supplies better management information facilities and it makes distribution planning work faster and simpler.

Frazier, Eugene. „Small Business Leadership and Organizational Culture, Job Satisfaction and Performance| Correlational Research“. Thesis, University of Phoenix, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3569145.

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This study investigated the relationship among organizational leadership styles (criterion variables), organizational culture, and employee job satisfaction, and organizational performance (predictor variables). The study research method was the quantitative method using a correlational research design that investigated the relationship among the variables. The data indicated relationships existed among the criterion variable, transformational leadership and the predictor variables, culture and employee job satisfaction. Correlation tests and regression analysis reflected the existence of significant relationships. The MLQ survey instrument facilitated data collection on leadership styles and on employee job satisfaction. In addition, the MLQ survey facilitated the collection of data concerning outcomes or behaviors of the leadership styles. Outcomes included cultural artifacts, extra effort from employees, and employee job satisfaction. In addition, the amended survey included supplementary demographic questions. Transformational and transactional leadership positively correlated with increased employee job satisfaction correlated with organizational performance. The findings of this study supported the literature review findings. The results may illuminate the relationship among organizational leadership styles and organizational culture and organizational job satisfaction and performance thereby facilitating organizational success.

Atkins, Cynthia. „An Investigation of the Impact of Requirements Engineering Skills on Project Success“. Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1515.

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A survey of project managers and requirements engineers was conducted to determine what skills, qualifications, and experiences were associated with project success. Survey results indicated that projects using Joint Application Development (JAD) sessions, use cases, and prototypes to engineer requirements were most successful. Other indicators of project success, according to participants, included an adequate allotment of time for requirements engineering—at least 15% of a project's time—and the use of project managers and requirements engineers with professional work experience. In particular, data indicated that Project Managers with at least five years of experience in Information Technology resulted in more successful projects.

Aldhaban, Fahad Abdulaziz. „Exploratory Study of the Adoption and Use of the Smartphone Technology in Emerging Regions: Case of Saudi Arabia“. PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/2651.

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Users' acceptance of a new information technology (IT) is considered to be a key determinant factor of its success. Also, studying users' adoption and use of new IT plays an important role in determining users' needs and reducing business risk, especially in industry segments with rapid changes in IT such as Smartphone technology. Such rapid evolution is influencing consumers' behaviors, their daily lifestyle, the manner of conducting their activities and their ways of consuming and using information. Smartphone technology holds a promising future with an expected global market that could reach US $258 billion by the end of year 2015 [1]. Besides the mobile industry, Smartphone technology introduces a wide range of opportunities and challenges for many related industries that participate directly or indirectly in producing and providing Smartphone services/products to the end users. Moreover, the Smartphone technology is relatively new technology with plenty of room for improvement. Better understanding of users' intentions and their behaviors regarding the adoption and use of the Smartphone technology plays a critical role in determining its success and benefiting all stakeholders. Significant efforts have been made to study and explain users' adoption and use of Smartphone technology. However, most of the empirical research focused on only a limited number of Smartphone aspects or on a specific profession such as doctors and nurses which may neglect other important factors. In emerging regions such as Jordan and China, cultural and social influence showed significant relationships with users' adoption and use of the Smartphone and its related technologies. Saudi Arabia is a developing country that has different cultural and social contexts that could influence users' intention to adopt and use the Smartphone technology. The key factors that influence general users' intention to adopt and use Smartphone technology in Saudi Arabia have not yet been studied and explored in a comprehensive manner. Therefore, the main purpose of this dissertation is to empirically study and explore the key factors that influence general users' adoption and use of the Smartphone in a comprehensive manner in Saudi Arabia. This dissertation starts with a literature review of existing research related to the adoption and use of Smartphone technology. Taxonomy is developed that includes factors that were identified as important in previous research and related to the adoption and use of the Smartphone technology. By using the developed taxonomy and reviewing literature related to the IT adoption theories, a preliminary theoretical research model is developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT). A number of qualitative methods, namely brainstorming, focus group and individual interviews, have been conducted to evaluate, select and validate the existing factors, as well as introduce new factors, and to identify only the most related factors to be included in the preliminary research model. A survey questionnaire has been developed and validated to survey general users of the Smartphone in Saudi Arabia. A web-based survey has been designed and sent through email to 5,000 randomly selected smartphones users in Saudi Arabia. Data has been statistically analyzed using Structural Equation Modeling (SEM). The results indicate that performance expectancy factor, effort expectancy factor, brand influence factor, perceived enjoyment factor and design factor have a positive and significant relationship with users' intention to adopt and use smartphones in Saudi Arabia. Also, the results indicate that the social influence factor has a significant and positive relationship with use behavior or actual use of smartphones in Saudi Arabia. The results of this dissertation provide more insights to practitioners in the smartphones domain and information that contributes to the body of knowledge regarding information technology adoption and its related research, especially in Saudi Arabia.

Calliess, Jan-Peter. „Conservative decision-making and inference in uncertain dynamical systems“. Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b7206c3a-8d76-4454-a258-ea1e5bd1c63e.

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The demand for automated decision making, learning and inference in uncertain, risk sensitive and dynamically changing situations presents a challenge: to design computational approaches that promise to be widely deployable and flexible to adapt on the one hand, while offering reliable guarantees on safety on the other. The tension between these desiderata has created a gap that, in spite of intensive research and contributions made from a wide range of communities, remains to be filled. This represents an intriguing challenge that provided motivation for much of the work presented in this thesis. With these desiderata in mind, this thesis makes a number of contributions towards the development of algorithms for automated decision-making and inference under uncertainty. To facilitate inference over unobserved effects of actions, we develop machine learning approaches that are suitable for the construction of models over dynamical laws that provide uncertainty bounds around their predictions. As an example application for conservative decision-making, we apply our learning and inference methods to control in uncertain dynamical systems. Owing to the uncertainty bounds, we can derive performance guarantees of the resulting learning-based controllers. Furthermore, our simulations demonstrate that the resulting decision-making algorithms are effective in learning and controlling under uncertain dynamics and can outperform alternative methods. Another set of contributions is made in multi-agent decision-making which we cast in the general framework of optimisation with interaction constraints. The constraints necessitate coordination, for which we develop several methods. As a particularly challenging application domain, our exposition focusses on collision avoidance. Here we consider coordination both in discrete-time and continuous-time dynamical systems. In the continuous-time case, inference is required to ensure that decisions are made that avoid collisions with adjustably high certainty even when computation is inevitably finite. In both discrete-time and finite-time settings, we introduce conservative decision-making. That is, even with finite computation, a coordination outcome is guaranteed to satisfy collision-avoidance constraints with adjustably high confidence relative to the current uncertain model. Our methods are illustrated in simulations in the context of collision avoidance in graphs, multi-commodity flow problems, distributed stochastic model-predictive control, as well as in collision-prediction and avoidance in stochastic differential systems. Finally, we provide an example of how to combine some of our different methods into a multi-agent predictive controller that coordinates learning agents with uncertain beliefs over their dynamics. Utilising the guarantees established for our learning algorithms, the resulting mechanism can provide collision avoidance guarantees relative to the a posteriori epistemic beliefs over the agents' dynamics.

Panokarren, Clifford L. „Information model for engineering change management“. FIU Digital Commons, 2004. https://digitalcommons.fiu.edu/etd/3949.

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Managing engineering changes is a critical task for organizations to remain competitive. In a manufacturing organization there are innumerable engineering change requests. This thesis is focused on the development of an information model that defines the engineering change process. This research developed an activity model in IDEF0, an object model in IDEF1X and a dynamic model using state diagrams. The activity model captures the business process for executing an engineering change in terms of its constituting activities and sub-activities. The object model defines each object and its attributes identified in the activity model. The dynamic model captures the status change of each object in the engineering change process. This study concludes with a summary, implementation issues and future work that can be done in the direction of implementing a system based \ on the information model developed.

Brown, Jill A. „Examining Strategic Information Technology in Relationship to the Need for Technology Modernization“. TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/129.

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Strategic planning can be a critical business process for today’s organizations, especially for IT organizations that are facing continually changes in technology. This research was designed to investigate IT organizations’ use of strategic planning and determine if the organization uses their strategic plan to set project priorities. The second part of this research was to determine if the IT strategic plans are aligned with the overall organization’s strategic plan. This research was conducted using a mail-type survey to IT Executives from organizations with sales/revenues under 100 million dollars, a maximum of 5000 employees, and SIC codes of 201 thru 399. The selected organizations were mailed a survey packet followed by a phone call for all non-responding organizations. The findings that resulted from this research showed that there is statistical evidence to support that organizations do perform the business process of developing a strategic plan. This research also showed that IT organizations do develop an IT strategic plan. However, there is not a high correlation between the organization’s strategic plan and the IT strategic planning process. If the IT organization has a strategic plan, then the plan is reviewed on a regular basis, referenced for project prioritization, and the IT employees are familiar with the plan.

Raje, Satyajeet. „ResearchIQ: An End-To-End Semantic Knowledge Platform For Resource Discovery in Biomedical Research“. The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354657305.

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Quintero, Michael C. „Constructing a Clinical Research Data Management System“. Thesis, University of South Florida, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10640886.

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Clinical study data is usually collected without knowing what kind of data is going to be collected in advance. In addition, all of the possible data points that can apply to a patient in any given clinical study is almost always a superset of the data points that are actually recorded for a given patient. As a result of this, clinical data resembles a set of sparse data with an evolving data schema. To help researchers at the Moffitt Cancer Center better manage clinical data, a tool was developed called GURU that uses the Entity Attribute Value model to handle sparse data and allow users to manage a database entity’s attributes without any changes to the database table definition. The Entity Attribute Value model’s read performance gets faster as the data gets sparser but it was observed to perform many times worse than a wide table if the attribute count is not sufficiently large. Ultimately, the design trades read performance for flexibility in the data schema.

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Bücher zum Thema "Information Technology|Engineering, System Science|Operations Research":

Liu, Sifeng. Systems evaluation: Methods, models, and applications. Boca Raton, FL: CRC Press, 2012.

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Vaishnavi, Vijay. Design Science Research Methods and Patterns. London: Taylor and Francis, 2007.

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Vaishnavi, Vijay. Design science research methods and patterns: Innovating information and communication technology. Boca Raton: Auerbach Publications, 2008.

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Jain, Hemant. Service-Oriented Perspectives in Design Science Research: 6th International Conference, DESRIST 2011, Milwaukee, WI, USA, May 5-6, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Gebauer, Judith. Building an internet-based workflow system: The case of Lawrence Livermore National Laboratories' Zephyr Project. Hershey, PA: Idea Group Pub., 1999.

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International Conference on Information Science, Automation, and Material System (2012 Changsha, China). Advanced research on material engineering and its application: Selected, peer reviewed papers from the 2012 2nd International Conference on Information Science, Automation, and Material System (ISAM 2012), April 21-22, 2012, Changsha, China. Durnten-Zurich, Switzerland: Trans Tech Publications, 2012.

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Wang, John. Management science, logistics, and operations research. Hershey, PA: Business Science Reference, an imprint of IGI Global, 2014.

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Herrmann, Heinz. From biology to sociopolitics: Conceptual continuity in complex systems. New Haven, Conn: Yale University Press, 1998.

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Easley, Wesley C. Transport systems research vehicle color display system operations manual. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Nash, Stephen G. The Impact of Emerging Technologies on Computer Science and Operations Research. Boston, MA: Springer US, 1995.

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Buchteile zum Thema "Information Technology|Engineering, System Science|Operations Research":

Hague, Douglas. „Information and Communications Technology and Managing Science“. In The Research System in Transition, 149–61. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2091-0_12.

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Pang, Huanli, Lianzhe Zhou und Xin Chang. „Research on Course System Construction on Computer Science & Technology Specialty“. In Communications in Computer and Information Science, 495–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22418-8_70.

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Kostova, Blagovesta, Irina Rychkova, Andrey Naumenko, Gil Regev und Alain Wegmann. „Systems-Thinking Heuristics for the Reconciliation of Methodologies for Design and Analysis for Information Systems Engineering“. In Research Challenges in Information Science, 112–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50316-1_7.

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Zhou, Hongbin, Jingchao Wang und Jincan Liu. „Research on Spatial Information Network System Construction and Validation Technology“. In Communications in Computer and Information Science, 45–53. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4403-8_5.

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Xia, Dailing, Yanbin Sun und Quanlong Guan. „Research on Intrusion Detection Technology of Industrial Control Systems“. In Communications in Computer and Information Science, 129–39. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8101-4_13.

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Li, Yue, Jian Sun, Zheng Zheng und Hong Shen. „Research of University Disaster Recovery System Based on Virtualization Technology“. In Communications in Computer and Information Science, 110–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34038-3_16.

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Xiao-Yu, Ge, Wang Qing-Hui und Feng An-Song. „Research on the Application of ZigBee Technology in Positioning System“. In Communications in Computer and Information Science, 215–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23235-0_28.

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Sun, Lin, Shouju Li, Hongjun Xiao und Dequan Yang. „APPLICATION OF OPERATION RESEARCH AND SYSTEM SCIENCE APPROACH TO FISHERIES MANAGEMENT“. In IFIP Advances in Information and Communication Technology, 1359–68. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0211-5_64.

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Xuchen, Lin, Huang Haiming, Yang Meng und Liu Jingang. „The Research of Interaction System in 3D Desktop System“. In Recent Advances in Computer Science and Information Engineering, 41–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25769-8_7.

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Lubicz, Marek. „Applications of Operations Research and Intelligent Techniques in the Health Systems“. In Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III, 91–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46589-0_8.

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Konferenzberichte zum Thema "Information Technology|Engineering, System Science|Operations Research":

Wanitwattanakosol, Jirapat, und Somkeit Noamna. „Action Research Framework in Lean Information Technology“. In 2018 International Conference on System Science and Engineering (ICSSE). IEEE, 2018. http://dx.doi.org/10.1109/icsse.2018.8520118.

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Xu, Min-hua, Feng Ye und Xiao-guo Liu. „Research on Education Management Information System Based on Cloud Computing“. In 2016 6th International Conference on Applied Science, Engineering and Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icaset-16.2016.84.

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Xiu-mei, Li, und Tao Tao. „Research on the Technology of Geographical Information System Data Reconstruction“. In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.917.

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Dong Zhu und Chen Zhang. „Research on the technology of sonar target system“. In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5689330.

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Chen Ning, Bie Chong und Zhao Xueyu. „Notice of Retraction: Research on logistics operations management system of urban solid waste“. In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT 2010). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5567343.

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Wang, Fuhong, Jinli Guo und Qian Zhan. „Supply Chain Quality Management System Research Based on Cloud Technology“. In International Conference of Information Science and Management Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/isme20141662.

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Ming, Wei, und Li Ting. „Research on the evaluation system of sensitivity technology in information industry“. In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5719985.

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Fan, Jiahui. „Analysis and Research of Mooring System“. In 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/iccia-17.2017.127.

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Lu, Bi. „Research on application of information technology in physical education and training system“. In International Conference of Information Science and Management Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/isme20141181.

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Li, Jin, und Zemin Zhu. „Research on the Information Publication Technology in Integrated E-Government System“. In 2011 International Conference on Intelligence Science and Information Engineering (ISIE). IEEE, 2011. http://dx.doi.org/10.1109/isie.2011.135.

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Berichte der Organisationen zum Thema "Information Technology|Engineering, System Science|Operations Research":

Konaev, Margarita, Husanjot Chahal, Ryan Fedasiuk, Tina Huang und Ilya Rahkovsky. U.S. Military Investments in Autonomy and AI: A Budgetary Assessment. Center for Security and Emerging Technology, Oktober 2020. http://dx.doi.org/10.51593/20200069.

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The Pentagon has a wide range of research and development programs using autonomy and AI in unmanned vehicles and systems, information processing, decision support, targeting functions, and other areas. This policy brief delves into the details of DOD’s science and technology program to assess trends in funding, key areas of focus, and gaps in investment that could stymie the development and fielding of AI systems in operational settings.

Safeguarding through science: Center for Plant Health Science and Technology 2009 Accomplishments. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Februar 2011. http://dx.doi.org/10.32747/2011.7296843.aphis.

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The Center for Plant Health Science and Technology (CPHST) provides scientific support for the regulatory decisions and operations of the Animal and Plant Health Inspection Service’s (APHIS) Plant Protection and Quarantine (PPQ) program in order to safeguard U.S. agriculture and natural resources. CPHST is responsible for ensuring that PPQ has the information, tools, and technology to make the most scientifically valid regulatory and policy decisions possible. In addition, CPHST ensures that PPQ’s operations have the most scientifically viable and practical tools for pest exclusion, detection, and management. This 2009 CPHST Annual Report is intended to offer an in-depth look at the status of our programs and the progress CPHST has made toward the Center’s long-term strategic goals. CPHST's work is organized into six National Science Programs: Agricultural Quarantine Inspection and Port Technology; Risk and Pathway Analysis; Domestic Surveillance, Detection, and Identification; Emergency Response; Response and Recovery Systems Technology - Arthropods; and Response and Recovery Systems Technology - Plant Pathogens and Weeds. the scientists of CPHST provide leadership and expertise in a wide range of fields, including risk assessments that support trade, commodity quarantine treatments, pest survey and detection methods, molecular diagnostics, biological control techniques, integrated pest management, and mass rearing of insects. Some highlights of significant CPHST efforts in 2009 include: Establishment of the National Ornamentals Research Site at Dominican University of California, Established LBAM Integrated Pest Management and Survey Methods, Continue to develop Citrus Greening/Huanglongbing Management Tools, and further European Grapevine Moth (EGVM) Response.

African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.

Payment Systems Report - June of 2020. Banco de la República de Colombia, Februar 2021. http://dx.doi.org/10.32468/rept-sist-pag.eng.2020.

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With its annual Payment Systems Report, Banco de la República offers a complete overview of the infrastructure of Colombia’s financial market. Each edition of the report has four objectives: 1) to publicize a consolidated account of how the figures for payment infrastructures have evolved with respect to both financial assets and goods and services; 2) to summarize the issues that are being debated internationally and are of interest to the industry that provides payment clearing and settlement services; 3) to offer the public an explanation of the ideas and concepts behind retail-value payment processes and the trends in retail payments within the circuit of individuals and companies; and 4) to familiarize the public, the industry, and all other financial authorities with the methodological progress that has been achieved through applied research to analyze the stability of payment systems. This edition introduces changes that have been made in the structure of the report, which are intended to make it easier and more enjoyable to read. The initial sections in this edition, which is the eleventh, contain an analysis of the statistics on the evolution and performance of financial market infrastructures. These are understood as multilateral systems wherein the participating entities clear, settle and register payments, securities, derivatives and other financial assets. The large-value payment system (CUD) saw less momentum in 2019 than it did the year before, mainly because of a decline in the amount of secondary market operations for government bonds, both in cash and sell/buy-backs, which was offset by an increase in operations with collective investment funds (CIFs) and Banco de la República’s operations to increase the money supply (repos). Consequently, the Central Securities Depository (DCV) registered less activity, due to fewer negotiations on the secondary market for public debt. This trend was also observed in the private debt market, as evidenced by the decline in the average amounts cleared and settled through the Central Securities Depository of Colombia (Deceval) and in the value of operations with financial derivatives cleared and settled through the Central Counterparty of Colombia (CRCC). Section three offers a comprehensive look at the market for retail-value payments; that is, transactions made by individuals and companies. During 2019, electronic transfers increased, and payments made with debit and credit cards continued to trend upward. In contrast, payments by check continued to decline, although the average daily value was almost four times the value of debit and credit card purchases. The same section contains the results of the fourth survey on how the use of retail-value payment instruments (for usual payments) is perceived. Conducted at the end of 2019, the main purpose of the survey was to identify the availability of these payment instruments, the public’s preferences for them, and their acceptance by merchants. It is worth noting that cash continues to be the instrument most used by the population for usual monthly payments (88.1% with respect to the number of payments and 87.4% in value). However, its use in terms of value has declined, having registered 89.6% in the 2017 survey. In turn, the level of acceptance by merchants of payment instruments other than cash is 14.1% for debit cards, 13.4% for credit cards, 8.2% for electronic transfers of funds and 1.8% for checks. The main reason for the use of cash is the absence of point-of-sale terminals at commercial establishments. Considering that the retail-payment market worldwide is influenced by constant innovation in payment services, by the modernization of clearing and settlement systems, and by the efforts of regulators to redefine the payment industry for the future, these trends are addressed in the fourth section of the report. There is an account of how innovations in technology-based financial payment services have developed, and it shows that while this topic is not new, it has evolved, particularly in terms of origin and vocation. One of the boxes that accompanies the fourth section deals with certain payment aspects of open banking and international experience in that regard, which has given the customers of a financial entity sovereignty over their data, allowing them, under transparent and secure conditions, to authorize a third party, other than their financial entity, to request information on their accounts with financial entities, thus enabling the third party to offer various financial services or initiate payments. Innovation also has sparked interest among international organizations, central banks, and research groups concerning the creation of digital currencies. Accordingly, the last box deals with the recent international debate on issuance of central bank digital currencies. In terms of the methodological progress that has been made, it is important to underscore the work that has been done on the role of central counterparties (CCPs) in mitigating liquidity and counterparty risk. The fifth section of the report offers an explanation of a document in which the work of CCPs in financial markets is analyzed and corroborated through an exercise that was built around the Central Counterparty of Colombia (CRCC) in the Colombian market for non-delivery peso-dollar forward exchange transactions, using the methodology of network topology. The results provide empirical support for the different theoretical models developed to study the effect of CCPs on financial markets. Finally, the results of research using artificial intelligence with information from the large-value payment system are presented. Based on the payments made among financial institutions in the large-value payment system, a methodology is used to compare different payment networks, as well as to determine which ones can be considered abnormal. The methodology shows signs that indicate when a network moves away from its historical trend, so it can be studied and monitored. A methodology similar to the one applied to classify images is used to make this comparison, the idea being to extract the main characteristics of the networks and use them as a parameter for comparison. Juan José Echavarría Governor