Human Resource Management Practices Affecting Organizational Commitment
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Understanding Irrigation Decisions
NUMBER 6 UNDERSTANDING IRRIGATION DECISIONS FROM ENTERPRISE PLANNING TO THE PADDOCK Kelvin Montagu, Ben Thomas, Geoff Thomas, Evan Christen, John Hornbuckle, Craig Baillie, Chris Linehan, Peter Smith, Fabian Gallo, Sam North, Wayne Meyer, Richard Stirzaker, Peter Cornish UNDERSTANDING IRRIGATION DECISIONS FROM ENTERPRISE PLANNING TO THE PADDOCK Kelvin Montagu, CRC Irrigation Futures Ben Thomas, Scholefield Robinson Horticultural Services Pty Ltd Geoff Thomas, Thomas Project Services Evan Christen, CSIRO, CRC for Irrigation Futures John Hornbuckle, CSIRO, CRC for Irrigation Futures Craig Baillie, CRC for Irrigation Futures Chris Linehan, Department of Primary Industries, Victoria Peter Smith, NSW Department of Primary Industries, CRC for Irrigation Futures Fabian Gallo, HydroTech Monitoring Pty Ltd Sam North, NSW Department of Primary Industries, CRC for Irrigation Futures Wayne Meyer, CSIRO, CRC for Irrigation Futures Richard Stirzaker, CSIRO, CRC for Irrigation Futures Peter Cornish, University of Western Sydney, CRC for Irrigation Futures i Published by: Land & Water Australia on behalf of the National Program for Sustainable Irrigation Postal address: GPO Box 2182 Canberra ACT 2601 Office Location: L1, The Phoenix Building 86 Northbourne Ave Braddon ACT Telephone: 02 6263 6000 Facsimile: 02 6263 6099 Email: Land&[email protected] Internet: www.lwa.gov.au © Land & Water Australia and IF Technologies Pty Ltd 2006. Acknowledgment The National Program for Sustainable Irrigation focuses research on the development and adoption of -
Behavior Informatics: an Informatics Perspective for Behavior Studies Longbing Cao, Senior Member, IEEE and Philip S
6 FeatureArticle:BehaviorInformatics:AnInformaticsPerspective for Behavior Studies Behavior Informatics: An Informatics Perspective for Behavior Studies Longbing Cao, Senior Member, IEEE and Philip S. Yu, Fellow, IEEE Abstract—Behavior is increasingly recognized as a key entity in With the emergence of new behavioral data, for instance, web business intelligence and problem-solving. Even though behavior usage, vehicle movements, market dynamics, ubiquitous trans- analysis has been extensively investigated in social sciences actional data recorded in computerized software systems, and and behavior sciences, in which qualitative and psychological methods have been the main means, nevertheless to conduct agentized behavior, behavioral data including human behavior formal representation and deep quantitative analysis it is timely is largely electronically recorded. Behavioral sciences cannot to investigate behavior from the informatics perspective. This support the formal representation and deep understanding of article highlights the basic framework of behavior informatics, such behavioral data. which aims to supply methodologies, approaches, means and tools With the increasing needs and focus on social network for formal behavior modeling and representation, behavioral data construction, behavior impact modeling, behavior network analysis and social computing, it is very timely to develop analysis, behavior pattern analysis, behavior presentation, man- behavior representation and analysis from the informatics agement and use. Behavior informatics can greatly complement perspective. Behavior informatics (including analytics, BI or existing studies in terms of providing more formal, quantitative BIA) is proposed for and aimed at the development of effective and computable mechanisms and tools for deep understanding methodologies, approaches, tools and applications for formal and use. and quantitative behavior representation and modeling, and Index Terms—Behavior, Behavior Informatics. -
Understanding Irrigation Decisions
NUMBER 6 UNDERSTANDING IRRIGATION DECISIONS FROM ENTERPRISE PLANNING TO THE PADDOCK Kelvin Montagu, Ben Thomas, Geoff Thomas, Evan Christen, John Hornbuckle, Craig Baillie, Chris Linehan, Peter Smith, Fabian Gallo, Sam North, Wayne Meyer, Richard Stirzaker, Peter Cornish UNDERSTANDING IRRIGATION DECISIONS FROM ENTERPRISE PLANNING TO THE PADDOCK Kelvin Montagu, CRC Irrigation Futures Ben Thomas, Scholefield Robinson Horticultural Services Pty Ltd Geoff Thomas, Thomas Project Services Evan Christen, CSIRO, CRC for Irrigation Futures John Hornbuckle, CSIRO, CRC for Irrigation Futures Craig Baillie, CRC for Irrigation Futures Chris Linehan, Department of Primary Industries, Victoria Peter Smith, NSW Department of Primary Industries, CRC for Irrigation Futures Fabian Gallo, HydroTech Monitoring Pty Ltd Sam North, NSW Department of Primary Industries, CRC for Irrigation Futures Wayne Meyer, CSIRO, CRC for Irrigation Futures Richard Stirzaker, CSIRO, CRC for Irrigation Futures Peter Cornish, University of Western Sydney, CRC for Irrigation Futures i Published by: Land & Water Australia on behalf of the National Program for Sustainable Irrigation Postal address: GPO Box 2182 Canberra ACT 2601 Office Location: L1, The Phoenix Building 86 Northbourne Ave Braddon ACT Telephone: 02 6263 6000 Facsimile: 02 6263 6099 Email: Land&[email protected] Internet: www.lwa.gov.au © Land & Water Australia and IF Technologies Pty Ltd 2006. Acknowledgment The National Program for Sustainable Irrigation focuses research on the development and adoption of -
ABCD Just Released New Books February 2012
ABCD springer.com Just Released New Books February 2012 All Titles, All Languages Sorted by author and title within the main subject springer.com Architecture & Design 2 Architecture & Design Arts Biomedicine J. Portugali, Tel Aviv University,Israel; H. Meyer, TU Delft, H. Selin, Hampshire College, 893 West St, Amherts, MA 01002, R. Scatena, Catholic University, Rome, Italy; P. Bottoni, Catholic Netherlands; E. Stolk, TU Delft, Netherlands; E. Tan, TU Delft, USA; G. Davey, Hong Kong Shue Yan University, China (Eds.) University, Rome, Italy; B. Giardina, Catholic University, Rome, Netherlands (Eds.) Italy (Eds.) Happiness Across Cultures Complexity Theories of Cities Have Advances in Mitochondrial Views of Happiness and Quality of Life in Non-Western Come of Age Cultures Medicine An Overview with Implications to Urban Planning and Design Different cultures experience happiness differently. Mitochondria are far more than the “powerhouse” Traditionally, the West is considered materialistic, Today, our cities are an embodiment of the complex, of the cell as they have classically been described. and happiness is said to come from achievement historical evolution of knowledge, desires and In fact, mitochondria biological activities have and acquisition. The East is said to be more people- technology. Our planned and designed activities progressively expanded to include not only oriented, where happiness is a result of deep personal co-evolve with our aspirations, mediated by the various bioenergetic processes but also important interactions. Thus, poor people can be happier in existing technologies and social structures. The biosynthetic pathways, calcium homeostasis and the East than the West, because they are not so city represents the accretion and accumulation of thermogenesis, cell death by apoptosis, several concerned with possession and more with society. -
Human-Analytics in Information Systems Research and Applications in Personnel Selection
Human-Analytics in Information Systems Research and Applications in Personnel Selection Item Type text; Electronic Dissertation Authors Pentland, Steven J. Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 04/10/2021 00:24:01 Link to Item http://hdl.handle.net/10150/630161 HUMAN-ANALYTICS IN INFORMATION SYSTEMS RESEARCH AND APPLICATIONS IN PERSONNEL SELECTION by Steven James Pentland _____________________________ Copyright © Steven James Pentland 2018 A Dissertation Submitted to the Faculty of the DEPARTMENT OF MANAGEMENT INFORMATION SYSTEMS In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY In the Graduate College THE UNIVERSITY OF ARIZONA 2018 1 'k* +#&(,k!k$-!k %)'k!k ^kL2L/2W^kS4k_>2kD^^2]b._DSOkSMMA__22ki2k03X_D;k_?._ki2k?.h2kY2.1k`@2k1D^^2.aBTPkUY2U.Z21k /jk5:+<(1<+6%+<_C_H21k8(,+&;7#2<#,<+!.0)6#.-<;16 (3< 20"<,< //'#6#.,4<#+<04.++%<&6#.,<.O1kW20SML2O1k_>._kD_k/2k.002U_21k.^k7gI8IIDQ<k_?2k 1D^^2._DSQkW2VfDW2L2O_k9Wk_?2k2=[22kS5kS0_SXkS4k"?DJS^SU>jk DQ.Hk.UUWSh.Kk.R1k.002U_.O02kS6k_>D^k1D^^2 ._DSQkD^k0SR_EO=2O_kdUSOk`>2k0.Q1D1._2^k^e/NF^^DSOk D_k/2k.002U_21k.^k:I4DIIDO<k`>2k1D^^2 ._DSQkW2VfDW2M2Ock ._2 k < DSQkGW20_S\ k;<9,*$ 0< ._2 k < ACKNOWLEDGEMENTS The Center for Leadership Ethics, Center for the Management of Information, and the Management Information Systems Department at the University of Arizona provided significant support for this research. I would like to thank and acknowledge Jay Nunamaker, Judee Burgoon, and Joe Valacich for their insight and encouragement. -
Technological Approach for Behavior Change Detection Toward Better Adaptation of Services for Elderly People
Technological Approach for Behavior Change Detection toward Better Adaptation of Services for Elderly People Firas Kaddachi1, Hamdi Aloulou1, Bessam Abdulrazak1,2, Joaquim Bellmunt3, Romain Endelin1, Mounir Mokhtari3,4 and Philippe Fraisse1 1Montpellier Laboratory of Informatics, Robotics and Microelectronics (LIRMM), Montpellier, France 2University of Sherbrooke, Sherbrooke, Canada 3Image and Pervasive Access Lab (IPAL), Singapore, Singapore 4Institut Mines-Telecom (IMT), Paris, France Keywords: Behavior, Behavior Change Detection, Elderly People, Sensors. Abstract: Aging process is associated with behavior change and continuous decline in physical and cognitive abilities. Therefore, early detection of behavior change is major enabler for providing adapted services to elderly people. Today, different psychogeriatric methods target behavior change detection. However, these methods require presence of caregivers and manual analysis. In this paper, we present our technological approach for early be- havior change detection. It consists in monitoring and analyzing individual activities using pervasive sensors, as well as detecting possible changes in early stages of their evolution. We also present a first validation of the approach with real data from nursing home deployment. 1 INTRODUCTION sary actions in early stages of behavior change. Au- tonomy of elderly people is consequently improved, Early detection of behavior change is keystone for ser- by reducing symptoms and evolution of sensor, motor vice providers to better adapt their services for elderly and cognitive diseases. people. Existing psychogeriatric methods for behav- In this paper, we propose a technological approach ior change detection are inconvenient, as they are for behavior change detection. Changes are detected time-consuming and require manual analysis work at temporal scale; i.e., compared to past habits of one from caregivers. -
4Th International Conference on Data Management, Analytics and Innovation 2020
4TH INTERNATIONAL CONFERENCE ON DATA MANAGEMENT, ANALYTICS AND INNOVATION 2020 4th International Conference on Data Management,Report Analytics Prepared By: and Innovation The United Services Institution Report Prepared of India By: (USI), New Delhi, India Dr. Neha Sharma Steering 17 – Committee 19 January Chair, ICDMAI 2020 2019 REPORT Report Prepared By: Dr. Neha Sharma Steering Committee Chair, ICDMAI 2020 Technical Programme Chair, ICDMAI 2020 Founder Secretary, Society for Data Science ICDMAI 2020 1 4TH INTERNATIONAL CONFERENCE ON DATA MANAGEMENT, ANALYTICS AND INNOVATION 2020 4th International Conference on Data Management, Analytics and Innovation The United Services Institution of India (USI), New Delhi, India 1 7 – 19 January 2020 Technical Partner Publication Partner Knowledge Partners Academic Partners ICDMAI 2020 2 4TH INTERNATIONAL CONFERENCE ON DATA MANAGEMENT, ANALYTICS AND INNOVATION 2020 INDEX Acknowledgements……………………………………………………………………………………………… 04 1 Event Details………………………………………………………………………................................... 05 2 Conception of the Programme…………………………………………………………………………….. 05 3 Objectives of ICDMAI 2019………………………………………………………………………………….. 05 4 Call for papers……………………………………………………………………………………..………………. 06 5 Conference Management Committee……………………………………………………….…………. 07 6 Conference Operating Model………………………………………………………………………………. 11 7 Resource Persons at ICDMAI 2019……………………………………………………….……………... 12 8 Venue………………………………………………………………………………………………………………….. 17 9 Partners ………………………………………………………………………………………………………………. 18 10 -
Pocket Program
39TH ANNUAL MEETING & SCIENTIFIC SESSIONS Extending Our Reach Pocket Program APRIL 11-14, 2018 LOUISIANA USA HILTON NEW ORLEANS RIVERSIDE MAYO CLINIC ROBERT D. AND PATRICIA E. KERN CENTER FOR THE SCIENCE OF HEALTH CARE DELIVERY Building on Mayo Clinic’s more than 100 years of experience in applying scientific and engineering principles to health care delivery, the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery is transforming the way that patients everywhere receive and experience health care. Visit Mayo Clinic’s booth at the Society of Behavioral Medicine’s Annual Meeting. For more information visit mayoclinic.org To learn more about careers at Mayo Clinic visit: jobs.mayoclinic.org. ©2018 Mayo Foundation for Medical Education and Research. Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities). CFSHCD_H.S.A_AHARM_AD_BW_2018.indd 1 1/2/18 2:37 PM TABLE OF CONTENTS Welcome Message ..............................................................................................................1 MAYO CLINIC ROBERT D. AND PATRICIA E. KERN Hilton New Orleans Riverside Map ...................................................................................2 CENTER FOR THE SCIENCE OF Exhibitors and Supporters ..................................................................................................4 HEALTH CARE DELIVERY Schedule at a Glance ..........................................................................................................5 -
Curriculum Vitae
Elizabeth A. Schlenk 1 Date: Dec. 2017 Curriculum Vitae Name: Elizabeth A. Schlenk, PhD, RN, FAAN Business Address: University of Pittsburgh Business E-Mail Address: [email protected] School of Nursing 3500 Victoria Street Suite 415 Pittsburgh PA 15261-0001 Business Phone: 412-624-4103 Business Fax: 412-383-7293 Education and Training Undergraduate 1971-1975 Mount Mercy College BSN Department of Nursing Major: Nursing Cedar Rapids, IA 52402 Minor: Chemistry Honors: Summa Cum Laude Graduate 1980-1983 University of Iowa MA College of Nursing Major: Adult Health Nursing Iowa City, IA 52242 and Nursing Education 1988-1994 University of Michigan PhD School of Nursing Major: Nursing Ann Arbor, MI 48109-0482 Mentor: Susan Boehm Post-Graduate 1994-1995 University of Pittsburgh Adherence Interventions School of Nursing Mentor: Dr. Jacqueline Dunbar-Jacob Pittsburgh, PA 15261-0001 Appointments and Positions Academic 2011-present University of Pittsburgh Associate Professor School of Nursing Department Acting Vice Chair for Administration, Dept. of Health & Community Systems 07/01/17 - 06/30/18 Pittsburgh, PA 15261-0001 2004-present University of Pittsburgh Coordinator, Masters of Science in Nursing Program/ School of Nursing Certificate in Nursing Research Program Dept. of Health & Community Systems Nurse Specialty Role—Nursing Research Pittsburgh, PA 15261-0001 1996-2011 University of Pittsburgh Assistant Professor School of Nursing Dept. of Health & Community Systems Pittsburgh, PA 15261-0001 Elizabeth A. Schlenk 2 1994-1995 University of Pittsburgh -
Annual Report 2015
Russian Federation Federal Agency for Scientific Organisations ST.PETERSBURG INSTITUTE FOR INFORMATICS AND AUTOMATION OF THE RUSSIAN ACADEMY OF SCIENCES Annual Report 2015 St.Petersburg, 2015 SPIIRAS Russian Federation Federal Agency for Scientific Organisations ST.PETERSBURG INSTITUTE FOR INFORMATICS AND AUTOMATION OF THE RUSSIAN ACADEMY OF SCIENCES Annual Report 2015 St.Petersburg, 2015 SPIIRAS Administration Director Yusupov, Rafael M. Corresponding Member of RAS, Honored Scientist of the Russian Federation Tel:+7(812)328-3311; (812)328-3411; Fax: +7(812)328-4450 E-mail: [email protected] Deputy-Director for Research Popovich, Vasily V. Professor, Doctor of Technical Sciences, PhD Honored Scientist of the Russian Federation Tel: +7(812)355-9691, E-mail: [email protected] Deputy-Director for Research Ronzhin, Andrey L. Professor, Doctor of Technical Sciences, PhD Tel: +7(812)328-7081, E-mail: [email protected] Deputy-Director for Research Sokolov, Boris V. Professor, Doctor of Technical Sciences, PhD Honored Scientist of the Russian Federation Tel: +7(812)328-0103, E-mail: [email protected] Deputy-Director for Information Security Moldovyan, Alexander A. Professor, Doctor of Technical Sciences, PhD Tel: +7(812)328-51-85, E-mail: [email protected] Deputy-Director for Maintenance Tkach, Anatoly F. Associate Professor, PhD Tel:+7(812)328-1433, E-mail: [email protected] Scientific Secretary Silla, Evgeny P. Associate Professor, PhD Tel:+7(812)328-0625; E-mail: [email protected] Assistant to Director for International Research Cooperation Podnozova, Irina P. MS in Electrical Engineering Tel: +7(812)328-4446; Fax: +7(812)328-0685 E-mail: [email protected] Street Address: 39, 14 Line, St.Petersburg, 199178, Russia Tel. -
Machine Learning for Internet of Things
14th – 15th December, 2018 National Institute of Technology Agartala, Tripura, India Special Session on: Machine Learning for Internet of Things Conference Proceedings: ALL ACCEPTED & PRESENTED papers will be included in ELSEVIER-SSRN Digital Library. Conference Website http://icciiot2018.iaasse.org/index.html Paper Submission Link https://easychair.org/conferences/?conf=icciiot2018 Important Dates Submission August 25, 2018 September 25, 2018 Acceptance October 20, 2018 Registration November 20, 2018 Camera Ready No vember 20, 2018 Conference December 14-15, 2018 Call for Paper Special Session Name: Machine Learning for Internet of Things. Session Chair: Dr. Priyanka Mishra, GIT Jaipur. Co-chairs: Dr. Akash Saxena, CIIT Jaipur. Convener: Ms Vidhi Sen, GIT Jaipur E-mail: [email protected] Mobile: 9460929966 The proposed International Conference on Computational Intelligence & Internet of Things (ICCIIoT), 2018 will be held at National Institute of Technology, Agartala, India to enable researchers build connections between different digital technologies based on Computational Intelligence and Internet of Things (IoT). Smart sensors can collaborate directly with machine without human involvement to automate decision making or to control a task using Computational Intelligence. Smart technologies including green electronics, green radios, fuzzy neural approaches and intelligent signal processing techniques play important roles for the developments of the wearable health care systems. This conference aims at providing a forum to discuss the recent advances on enabling technologies in Computational Intelligence and its applications for IoT. Please consider submitting to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations. The objectives of the special session: IoT is the most significant sources of new data, data science will provide a considerable contribution to making IoT applications more intelligent. -
Behavior Computing Longbing Cao R Philip S
Behavior Computing Longbing Cao r Philip S. Yu Editors Behavior Computing Modeling, Analysis, Mining and Decision Editors Longbing Cao Prof. Philip S. Yu Advanced Analytics Institute Department of Computer Science University of Technology Sydney University of Illinois at Chicago Sydney, NSW, Australia Chicago, IL, USA ISBN 978-1-4471-2968-4 ISBN 978-1-4471-2969-1 (eBook) DOI 10.1007/978-1-4471-2969-1 Springer London Heidelberg New York Dordrecht Library of Congress Control Number: 2012936583 © Springer-Verlag London 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.