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An Approach for Predicting Hype Cycle Based on Machine Learning
An Approach for Predicting Hype Cycle Based on Machine Learning Zhijun Ren Shuo Xu Institute of Scientific and Technical Information of China, Institute of Scientific and Technical Information of China, Beijing 100038, China Beijing 100038, China The China Patent Information Center, the State [email protected] Intellectual Property Office, Beijing 100088, China [email protected] Xiaodong Qiao Hongqi Han Institute of Scientific and Technical Information of China, Institute of Scientific and Technical Information of China, Beijing 100038, China Beijing 100038, China [email protected] [email protected] Kai Zhang The China Patent Information Center, the State Intellectual Property Office, Beijing 100088, China [email protected] ABSTRACT Some scholars believe that hype means advertised in publicity Analyzing mass information and supporting insight based on and exaggerated propaganda[1], and the best measure is the analysis results are very important work but it needs much expectation, which means people’s expectation for technology effort and time. Therefore, in this paper, we propose an innovation. Enterprises should use hype cycle to target the approach for predicting hype cycle based on machine learning emerging technologies, and use the concept of digital business for effective, systematic, and objective information analysis transformation to predict future business trends. and future forecasting of science and IT field. Additionally, Gartner believes that hype cycle is a qualitative we execute a comparative evaluation between the suggested decision-making tool, like other management methods, it model and Hype Cycle for Big Data, 2013 for validating the relies mainly on the judgment of experts. And to complete the suggested model and generally used for information analysis hype cycle assessment and prediction of a set of technologies and forecasting. -
Different Hype Cycle Viewpoints for an E-Learning System
IOSR Journal of Research & Method in Education (IOSR-JRME) e-ISSN: 2320–7388,p-ISSN: 2320–737X Volume 4, Issue 5 Ver. II (Sep-Oct. 2014), PP 88-95 www.iosrjournals.org Different Hype Cycle Viewpoints for an E-Learning System Logica Banica1 1Faculty of Economics, University of Pitesti, Romania Abstract: This paper uses Gartner Group’s Hype Cycle as an analysis tool for the e-learning platform integration process at the University of Pitesti. The platform was installed three years ago and during this time there were many points of view (by major user groups) regarding the usefulness and adoption rate. Based on this fact, according to us, the e-learning Hype Cycle has two graphical representations, two variation curves that have the first part identical but differ significantly in the following two stages, differences that disappear in the end. Based on our analysis, we found necessary to improve the management strategies, to better motivate the teachers in order for them to reach the same level of interested shown by the students in using the system, and thus bringing the two educational groups to the same opinion. We have depicted all this evolution and the different points of view by the Hype Cycle curve, that should be only one for the 5th year of system presence in our institution, a convergence reached a bit too late in the IT world, where software solutions have a limited life cycle. Keywords: Hype Cycle, e-learning, academic collaboration I. Introduction This paper is a new approach of our research on learning systems related to the academic domain: e- learning. -
The Industry-Technology Life Cycle: an Integrating Meta-Model?
THE INDUSTRY-TECHNOLOGY LIFE CYCLE: AN INTEGRATING META-MODEL? Robert U. Ayres International Institute for Applied Systems Analysis Lazenburg, Austria RR-87-3 March 1987 INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS Laxenburg, Austria International Standard Book Number 8-7045-0081-x Research Reports, which record research conducted at IIASA, are independently reviewed before publication. However, the views and opinions they express are not necessarily those of the Institute or the National Member Organizations that support it. Copyright @ 1987 International Institute for Applied Systems Analysis All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage or retrieval system, without permission in writing from the publisher. Cover design by Martin Schobel Printed by Novographic, Vienna, Austria Summary This report attempts to answer a rather deep question: To what extent can "pure" economics explain economic growth and technological change? By "pure" economics, it is meant the relationships governing the behavior of abstract enti- ties, producing abstract products or services for sale in an idealized competitive market. Pure economics, in the above sense, admits R&D and innovations of an unspecified kind; it also admits improvements (unspecified) and learning curves or experience curves. The report concludes, however, that the dynamic behavior of the product "life cycle" in specific cases, and the observed clustering of innovations in partic- ular fields at particular times, with periods of rapid progress followed by slow- downs, can only by explained by also taking into account the preexisting state of technology, and the laws of nature. -
Life Cycle Engineering Guidelines
EPA/600/R-01/101 November 2001 Life Cycle Engineering Guidelines Joyce Smith Cooper and Bruce Vigon Battelle Columbus Laboratories 505 King Avenue Columbus, Ohio 43201 CR822956 Project Officer Kenneth R. Stone Sustainable Technology Division Systems Analysis Branch National Risk Management Research Laboratory Cincinnati, Ohio 45268 National Risk Management Research Laboratory OfFice of Research and Development U.S. Environmental Protection Agency Cincinnati, OH 45268 Notice This publication has not been formally reviewed by EPA. The views expressed in this document are solely those of Battelle Columbus Laboratories and EPA does not endorse any products or commercial services mentioned in this publication. Foreword This publication has been produced as part of the Strategic Environmental Research and Development Program (SERDP) strategic long-term research plan. SERDP was established in order to sponsor cooperative research, development, and demonstration activities for environmental risk reduction. Funded with U.S. Department of Defense (DoD) resources, SERDP is an interagency initiative involving the DoD, the U.S. Department of Energy, and the U.S. Environmental Protection Agency (EPA). SERDP seeks to develop environmental solutions that improve mission readiness for Federal activities. The Life-Cycle Engineering and Design Program (LCED) is a product of the SERDP effort coordinated by the EPA to provide a technical and economic basis for the effective application of life cycle principles to product and process design and materials selection. In addition, it is expected that many techniques developed will have applications across both the public and private sectors. This document has been published and is made available by EPA's Office of Research and Development to assist the user community and to link researchers with their clients. -
Science & Technology Trends 2020-2040
Science & Technology Trends 2020-2040 Exploring the S&T Edge NATO Science & Technology Organization DISCLAIMER The research and analysis underlying this report and its conclusions were conducted by the NATO S&T Organization (STO) drawing upon the support of the Alliance’s defence S&T community, NATO Allied Command Transformation (ACT) and the NATO Communications and Information Agency (NCIA). This report does not represent the official opinion or position of NATO or individual governments, but provides considered advice to NATO and Nations’ leadership on significant S&T issues. D.F. Reding J. Eaton NATO Science & Technology Organization Office of the Chief Scientist NATO Headquarters B-1110 Brussels Belgium http:\www.sto.nato.int Distributed free of charge for informational purposes; hard copies may be obtained on request, subject to availability from the NATO Office of the Chief Scientist. The sale and reproduction of this report for commercial purposes is prohibited. Extracts may be used for bona fide educational and informational purposes subject to attribution to the NATO S&T Organization. Unless otherwise credited all non-original graphics are used under Creative Commons licensing (for original sources see https://commons.wikimedia.org and https://www.pxfuel.com/). All icon-based graphics are derived from Microsoft® Office and are used royalty-free. Copyright © NATO Science & Technology Organization, 2020 First published, March 2020 Foreword As the world Science & Tech- changes, so does nology Trends: our Alliance. 2020-2040 pro- NATO adapts. vides an assess- We continue to ment of the im- work together as pact of S&T ad- a community of vances over the like-minded na- next 20 years tions, seeking to on the Alliance. -
Horizon Scanning Opportunities for New Technologies and Industries
Horizon Scanning Opportunities for New Technologies and Industries by Grant Hamilton, Levi Swann, Vibhor Pandey, Char-lee Moyle, Jeremy Opie and Akira Dawson July 2019 © 2019 AgriFutures Australia All rights reserved. Horizon Scanning – Opportunities for New Technologies and Industries: Final Report Publication No. 19-028 Project No. PRJ-011108 The information contained in this publication is intended for general use to assist public knowledge and discussion and to help improve the development of sustainable regions. You must not rely on any information contained in this publication without taking specialist advice relevant to your particular circumstances. While reasonable care has been taken in preparing this publication to ensure that information is true and correct, the Commonwealth of Australia gives no assurance as to the accuracy of any information in this publication. The Commonwealth of Australia, AgriFutures Australia, the authors or contributors expressly disclaim, to the maximum extent permitted by law, all responsibility and liability to any person, arising directly or indirectly from any act or omission, or for any consequences of any such act or omission, made in reliance on the contents of this publication, whether or not caused by any negligence on the part of the Commonwealth of Australia, AgriFutures Australia, the authors or contributors. The Commonwealth of Australia does not necessarily endorse the views in this publication. This publication is copyright. Apart from any use as permitted under the Copyright Act 1968, all other rights are reserved. However, wide dissemination is encouraged. Requests and inquiries concerning reproduction and rights should be addressed to AgriFutures Australia Communications Team on 02 6923 6900. -
A Study on the Deduction and Diffusion of Promising Artificial
sustainability Article A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development Hong Joo Lee * and Hoyeon Oh Department of Industrial and Management, Kyonggi University, Suwon 443760, Gyeonggi, Korea; [email protected] * Correspondence: [email protected] Received: 14 May 2020; Accepted: 8 July 2020; Published: 13 July 2020 Abstract: Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics. -
The Role of Key Professionals in Improving Patient Outcome Through
The Role of Key Professionals in Improving Patient Outcome through Technology Life Cycle Management – Clinical Engineer Yadin David, Ed.D., P.E., C.C.E., FACCE, FAIMBE Biomedical Engineering Consultants, LLC Asst. Professor, University of Texas School of Public Health IUPESM Health Technology Task Group (HTTG) 1 1 Greeting from the Texas Medical Center, Houston, Outline Texas, USA • Who are the Clinical Engineers? • Where do they practice? • What are their competencies? • How can you measure their contributions? • What should we do? • Conclusions The Space Shuttle Enterprise (in Texas 2013) on its way to Museum in Los Angeles Technology Expanded Role in HealthCare • Operations (Supply chain, Business/Payers, Personnel, Services and Procedures) • Pharmaceuticals (Drugs, Nutrients, Blood, Compounding, Chemical agents, etc.) • Physical plant (Buildings, Utilities, Waste, etc.) • Consumers (Organ substitution, Personal and Home use, behavior modification) • Professional (Clinical skills simulators, ER training, etc) • Work place (Clinical protection, Business, Processes, Safety) The Future of Medical Technologies (2018) Where Do Clinical Engineers Practice? The intersection between healthcare interventions, community of consumers/users and deployment of technology is unique space: • Point-of-service • Point-of-use • Point-of-care Clinical engineers are the only engineering-trained professionals who are practicing at the Point-of-care and focus on care outcomes impacted by technology Integrating Safety & Quality • is the condition of being free from (or protected against an essential or distinctive characteristic, harm or other types or) consequences of failure, damage, property, or attribute, character or nature, as error, accidents, harm or any other event which could be belonging to or distinguishing a thing character considered non-desirable. -
Diffusion of Innovations Theory Applied: the Adoption of Digital On-Demand Technology by Book Publishers and Printers
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 5-1999 Diffusion of Innovations Theory Applied: The Adoption of Digital On-Demand Technology by Book Publishers and Printers Jill Cohen Walker University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Part of the Communication Commons Recommended Citation Walker, Jill Cohen, "Diffusion of Innovations Theory Applied: The Adoption of Digital On-Demand Technology by Book Publishers and Printers. " Master's Thesis, University of Tennessee, 1999. https://trace.tennessee.edu/utk_gradthes/1926 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Jill Cohen Walker entitled "Diffusion of Innovations Theory Applied: The Adoption of Digital On-Demand Technology by Book Publishers and Printers." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Science, with a major in Communication. Jeffrey S. Wilkinson, Major Professor We have read this thesis and recommend its acceptance: J.A. Crook, H. H. Howard Accepted for the Council: -
Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and Its Geographic Spread
International Journal of Geo-Information Concept Paper Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread Roger C. Brackin 1,*, Michael J. Jackson 1, Andrew Leyshon 1 and Jeremy G. Morley 2 1 School of Geography University of Nottingham, Nottingham NG7 2RD, UK; [email protected] (M.J.J.); [email protected] (A.L.) 2 Ordnance Survey, Southamption SO16 0AS, UK; [email protected] * Correspondence: [email protected] Received: 25 November 2018; Accepted: 10 January 2019; Published: 16 January 2019 Abstract: The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scales offering potential models of technology progression and disruption. This paper focuses on how theories of technology progression may be integrated and considers whether suitable indicators of this progression and any subsequent disruptive effects might be derived, based on the use of big data analytic techniques. Given the magnitude of the economic, social, and political implications of many disruptive technologies, the ability to quantify disruptive change at the earliest possible stage could deliver major returns by reducing uncertainty, assisting public policy intervention, and managing the technology transition through disruption into deployment. However, determining when this stage has been reached is problematic because small random effects in the timing, direction of development, the availability of essential supportive technologies or “platform” technologies, market response or government policy can all result in failure of a technology, its form of adoption or optimality of implementation. -
THE KUZNETS CURVE and the LIFE CYCLE ANALOGY by 97/08
THE KUZNETS CURVE AND THE LIFE CYCLE ANALOGY by R. U. AYRES 97/08/EPS This working paper was published in the context of INSEADs Centre for the Management of Environmental Resources, an RD partnership sponsored by Ciba-Geigy, Danfoss, Otto Group and Royal Dutch/Shell and Sandoz AG. * Sandoz Professor of Management and the Environment at INSEAD, Boulevard de Constance, 77305 Fontainebleau Cede; France. A working paper in the INSEAD Working Paper Series is intended as a means whereby a faculty researchers thoughts and findings may be communicated to interested readers. The paper should be considered preliminary in nature and may require revision. Printed at INSEAD, Fontainebleau, France. The Kuznets Curve and the Life Cycle Analogy A Robert U. Ayres Center for the Management of Environmental Resources INSEAD Fontainebleau, France January 1997 Abstract The growth and, especially, the successions of industrial sectors strongly suggests an "aging" phenomenon. In fact, the Kuznets curve was originally based on this notion. More recently, the aging idea has been more fully elaborated into a 'life cycle' scheme (conception, birth, childhood, adolescence, maturity and senescence) which corresponds quite closely with the observed stages of development of a new technology or product. The question arises: is the life cycle analogy sufficiently general to constitute a set of "stylized facts" around which a theory could be developed? In particular, is the life cycle reversible? If so, under what circumstances? The paper addresses these questions and concludes with some observations about the environmental Kuznets curve (EKC) and its applicability to the question of whether economic growth is compatible with long-term sustainability. -
The Implementation Factors of Information and Communication Technology in the Life Cycle Costs of Buildings
applied sciences Article The Implementation Factors of Information and Communication Technology in the Life Cycle Costs of Buildings Peter Mésároš 1, Tomáš Mandiˇcák 1,* , Marcela Spišáková 1, Annamária Behúnová 2 and Marcel Behún 2 1 Institute of Technology, Economics and Management in Construction, Faculty of Civil Engineering, Technical University of Košice, 042 00 Košice, Slovakia; [email protected] (P.M.); [email protected] (M.S.) 2 Institute of Earth Sources, Faculty of Mining, Ecology, Process Control and Geotechno-Logy, Technical University of Košice, 040 01 Košice, Slovakia; [email protected] (A.B.); [email protected] (M.B.) * Correspondence: [email protected]; Tel.: +421-55-602-4378 Abstract: Life cycle cost management is an integral part of buildings construction. The life cycle cost approach can be considered an objective approach because it considers all life cycles of build- ings. Information and communication technology is one of the critical factors for the success of construction projects. Several studies point to the importance of information and communication technology use in life cycle cost management. Generally, information and communication technology can be helpful in the cost management process of buildings. However, few implementation factors of information and communication technology are used in the life cycle cost management of build- ings. The research assumes that the most critical implementation factor is the investment cost for Citation: Mésároš, P.; Mandiˇcák,T.; information and communication technologies used in cost management during the life cycle. The Spišáková, M.; Behúnová, A.; relative importance index method was used to evaluate and quantify the final rank of implementation Behún, M.