Academic literature on the topic 'Resource deployment'

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Journal articles on the topic "Resource deployment"

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Lee, Yohan, Jeremy S. Fried, Heidi J. Albers, and Robert G. Haight. "Deploying initial attack resources for wildfire suppression: spatial coordination, budget constraints, and capacity constraints." Canadian Journal of Forest Research 43, no. 1 (2013): 56–65. http://dx.doi.org/10.1139/cjfr-2011-0433.

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We combine a scenario-based, standard-response optimization model with stochastic simulation to improve the efficiency of resource deployment for initial attack on wildland fires in three planning units in California. The optimization model minimizes the expected number of fires that do not receive a standard response — defined as the number of resources by type that must arrive at the fire within a specified time limit — subject to budget and station capacity constraints and uncertainty about the daily number and location of fires. We use the California Fire Economics Simulator to predict the
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O'Cass, Aron, Liem Viet Ngo, and Vida Siahtiri. "Marketing resource-capability complementarity and firm performance in B2B firms." Journal of Business & Industrial Marketing 30, no. 2 (2015): 194–207. http://dx.doi.org/10.1108/jbim-05-2012-0087.

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Purpose – This study aims to examine how market orientation (MO), marketing resources and marketing resource deployment are related and impact business-to-business (B2B) firm- and customer-level performance. Design/methodology/approach – A self-administrated questionnaire was used to collect data from 251 firms out of a sample of 1000 B2B firms selected from a database of businesses. Findings – Marketing resources and marketing capability are complementary in contributing to both firm and customer performance. In addition, they are partial mediators of the relationship between MO and firm- and
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Chu, Chang Yong, and Guo Qiang Shen. "Semantic-Based Optimal Deployment of Manufacturing Resources for Multi-Disciplinary Collaborative Manufacturing." Applied Mechanics and Materials 44-47 (December 2010): 471–74. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.471.

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This paper focuses on multi-disciplinary resource configuration optimization problem of collaborative manufacturing in an open environment. First a semantic-based manufacturing resources retrieval and deployment framework is presented, then the four layers of the proposed framework, i.e. resource modeling, resource retrieval and annotation, resource discovery, and optimal resource deployment are discussed in detail.
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Pagès, Albert, Fernando Agraz, and Salvatore Spadaro. "On the Complexity of Configuration and Orchestration for Enabling Disaggregated Server Provisioning in Optical Composable Data Centres." Journal of Optical Communications and Networking 14, no. 12 (2022): 998. http://dx.doi.org/10.1364/jocn.471937.

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Due to the limitations of traditional data center (DC) architectures, the concept of infrastructure disaggregation has been proposed. DC resources are separated into multiple blades to be exploited independently. As a result, composable DC (CDC) infrastructures are achieved, enhancing the modularity of resource provisioning. However, disaggregation introduces additional challenges that need to be carefully analyzed. One relates to the potential complexity increase on the orchestration and infrastructure configuration that need to be performed when provisioning resources to support services. Th
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Inampudi, Venkata S., Russell Kondaveti, and Aura Ganz. "RETRA." International Journal of E-Health and Medical Communications 4, no. 3 (2013): 80–93. http://dx.doi.org/10.4018/jehmc.2013070106.

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In this paper, the authors introduce a real time web based tool for resource allocation (RETRA) that can assist the incident commanders and resource managers in the complex task of emergency resource deployment for multiple simultaneous incidents that occur in close geographical proximity. RETRA real time inputs include the location of the emergency sites and the required resources with associated priorities. It generates an optimal deployment plan so that emergency sites with highest priorities for a resource are assigned that resource in the least amount of time. The optimal solution is pres
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Hsu, Chia-Wen, Yu-Chieh Chao, and Yin-Ru Chen. "Multinationality, Resource Deployment, and Innovation Performance." Academy of Management Proceedings 2012, no. 1 (2012): 12198. http://dx.doi.org/10.5465/ambpp.2012.12198abstract.

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Bányai, Tamás, Christian Landschützer, and Ágota Bányai. "Markov-Chain Simulation-Based Analysis of Human Resource Structure: How Staff Deployment and Staffing Affect Sustainable Human Resource Strategy." Sustainability 10, no. 10 (2018): 3692. http://dx.doi.org/10.3390/su10103692.

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Manufacturing and service processes are composed of several elements: Technical, financial, logistics, information and human resources. Staff deployment and staffing is an essential problem in the human resource management domain because the structure of employees would be continuously in an optimal relationship to the jobs to be performed. This paper proposes a conceptual model for the analysis of human resource deployment processes. After a systematic literature review, it was found that algorithms are important tools for the design and control of human resource problems since a wide range o
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Henning, Tom, K. Tim Perkins, and Gary Stankovich. "COMPREHENSIVE RESOURCE MANAGEMENT." International Oil Spill Conference Proceedings 1997, no. 1 (1997): 871–75. http://dx.doi.org/10.7901/2169-3358-1997-1-871.

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ABSTRACT Resources at the scene of an oil spill involve a significant number of response personnel, equipment, and support materials. The current practice of using single resource management during oil spill emergencies is ineffective and extremely time-consuming. This form of resource tracking results in the overtaxation of the resource status unit (RESTAT) and does not give the operations section the best opportunity to make tactical decisions based on the location of available resources. The recent use of comprehensive resource management as part of the incident command system (ICS) (Oil Po
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Reich, Yoram, and Amir Paz. "Managing product quality, risk, and resources through resource quality function deployment." Journal of Engineering Design 19, no. 3 (2008): 249–67. http://dx.doi.org/10.1080/09544820701327947.

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Huesch, Marco D. "Are there always synergies between productive resources and resource deployment capabilities?" Strategic Management Journal 34, no. 11 (2013): 1288–313. http://dx.doi.org/10.1002/smj.2068.

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Dissertations / Theses on the topic "Resource deployment"

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Johansson, Jonathan. "A comparison of resource utilization and deployment time for open-source software deployment tools." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13874.

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The purpose of this study is to compare the software deployment tools Ansible, Chef and SaltStackregarding deployment time and their respective resource utilization, and the findings of this studyare also compared to the previous works of Benson et al. (2016), which also studied deploymenttime. However, there is no previous research which mentions resource utilization, which is equallyimportant. The study consists of an experiment performed in one of the laboratory rooms at theUniversity of Skövde where all three software deployment tools are configured to deploy a setamount of packages to thr
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Alsedairy, Talal A. "Self-organizing architecture : a resource efficient deployment of strategy." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608379.

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In recent years, there has been a tremendous increase in the number of handsets, in particular smartphones, supporting a wide range of applications. Furthermore, the amount. of mobile data traffic is expected to increase dramatically in the coming years. If the current traffic demand growth rate were maintained, current cellular system capacity would not be able to cope with it. Therefore future cellular systems have to be designed to contain the expected traffic growth. On the other hand, energy efficiency of cellular systems has emanated as one of the important performance indicators coupled
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Gonzalez, Sanchez Dina Pamela. "Resource Sharing and Network Deployment Games : In Open Wireless Access Markets." Licentiate thesis, KTH, Kommunikationssystem, CoS, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-39480.

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Ott, Bryce Daniel. "Web Based Resource Management for Multi-Tiered Web Applications." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1255.

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The currently emerging trend of building more complex web applications to solve increasingly more involved software problems has led to the the need for a more automated and practical means for deploying resources required by these advanced web applications. As web based applications become more complex and involve more developers, greater system redundancy, and a larger number of components, traditional means of resource deployment become painfully inadequate as they fail to scale sufficiently. The purpose of this research is to provide evidence that a more sound and scalable test and deploym
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Tariverdi, Mersedeh. "Time-Critical Decision Making in Rescue Resource Deployment and Health Care Systems." Thesis, George Mason University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10682095.

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<p> Continuing population growth and increased urbanization within disaster-prone areas have led to greater numbers of mass casualties and economic losses caused by natural or human-made disasters. Efficient decision-making processes are crucial in all phases of a disaster life cycle, from mitigation and preparedness to response and recovery. The overarching goal of this dissertation is to contribute to region-wide disaster operation management capabilities by creating a set of tools to facilitate fast, life-saving decision-making. The dissertation begins with initial first responders&rsquo; a
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Alam, Tauhidul. "A Dynamical System Approach for Resource-Constrained Mobile Robotics." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3825.

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The revolution of autonomous vehicles has led to the development of robots with abundant sensors, actuators with many degrees of freedom, high-performance computing capabilities, and high-speed communication devices. These robots use a large volume of information from sensors to solve diverse problems. However, this usually leads to a significant modeling burden as well as excessive cost and computational requirements. Furthermore, in some scenarios, sophisticated sensors may not work precisely, the real-time processing power of a robot may be inadequate, the communication among robots may be
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Baseer, Mohammed Abdul. "Wind resource assessment and GIS-based site selection methodology for efficient wind power deployment." Thesis, University of Pretoria, 2017. http://hdl.handle.net/2263/61314.

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An enormous and urgent energy demand is predicted due to the growing global population, increase in power intensive industries, higher living standards, electrification of remote areas, and globalisation (transportation). Moreover, the global consciousness about the harmful effects of traditional methods of power generation on the environment. That, in turn, has created a need to strategically plan and develop renewable and sustainable energy generation systems. This study presents a wind resource assessment of seven locations proximate to the largest industrial hub in the Middle East, Jubail
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Sepelyak, Mary. "The Instructional Technology Resource Teacher: A Descriptive Case Study of Deployment, Use, and Perceptions." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4592.

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This case study describes one professional development approach to support technology integration at all public schools in one large county in central Virginia. Using data obtained from daily time logs, the frequency of Instructional Technology Resource Teacher (ITRT) use by classroom teachers was analyzed. Descriptive statistics were used to describe overall percentage of ITRT use, the various types of professional development requested by teachers, the consistency of those activities over time, and if the frequencies of activities varied as a function of school level, Title I status at the
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Sharma, Sachin. "Integrated Backhaul Management for Ultra-Dense Network Deployment." Thesis, KTH, Kommunikationssystem, CoS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159447.

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Mobile data traffic is expected to increase substantially in the coming years, with data rates 1000 times higher by 2020, having media and content as the main drivers together with a plethora of new end-user services that will challenge existing networks. Concepts and visions associated with the ICT evolution like the network society, 50 billion connected devices, Industrial Internet, Tactile Internet, etc., exemplifies the range of new services that the networks will have to handle. These new services impose extreme requirement to the network like high capacity, low latency, reliability, secu
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Lu, Zhixue. "DEPLOYMENT, MANAGEMENT, AND ACCESS ACQUISITION OF SMALL-CELL BASED NETWORKS." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397763112.

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Books on the topic "Resource deployment"

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Quek, Tony Q. S. Small cell networks: Deployment, PHY techniques, and resource management. Cambridge University Press, 2013.

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Harrold, Ross. Curriculum, finance and resource deployment: Toward school self-evaluation. Sheffield City Polytechnic, Centre for Education Management and Administration, 1988.

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Cone, Paul R. Strategic resource management: Allocation, deployment, and productive use of resources for improved performance results. Andrews University Press, 1986.

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Saranga, Haritha. Optimal deployment of parallel teams in new product development. Indian Institute of Management Bangalore, 2008.

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Almeida-Costa, Luís. The strategic deployment of resources. INSEAD, 1998.

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Darmawan, Budi. Deployment guide series. IBM, International Technical Support Organization, 2006.

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Bart, Jacob, and International Business Machines Corporation. International Technical Support Organization., eds. Deployment guide series. IBM, International Technical Support Organization, 2008.

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A, Templer, ed. Recruitment, selection and deployment of human resources: A Canadian perspective. Pearson Prentice Hall, 2007.

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van, Oostendorp Herre, Breure Leendert 1949-, and Dillon Andrew, eds. Creation, use, and deployment of digital information. Lawrence Erlbaum Associates, 2005.

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Harris, J. H. The deployment of T.V.E.I. extension resources into a local authoriy's special schools. University of Wolverhampton, 1993.

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Book chapters on the topic "Resource deployment"

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Rendón, David. "Deployment Scopes." In Building Applications with Azure Resource Manager (ARM). Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7747-8_5.

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Rendón, David. "Understanding Post-Deployment Configurations: Extensions and Deployment Scripts." In Building Applications with Azure Resource Manager (ARM). Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7747-8_13.

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Siddiqui, Mumtaz, and Thomas Fahringer. "Grid Activity Registration, Deployment and Provisioning Framework." In Grid Resource Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11579-0_4.

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Giachino, Elena, and Cosimo Laneve. "Towards the Typing of Resource Deployment." In Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45231-8_7.

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Johnsen, Einar Broch, Olaf Owe, Rudolf Schlatte, and Silvia Lizeth Tapia Tarifa. "Dynamic Resource Reallocation between Deployment Components." In Formal Methods and Software Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16901-4_42.

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Schneider, Dietram. "Geschäftsvitalisierung mit Success Resource Deployment — SRD." In Power Tools. Gabler Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-84461-3_2.

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Hein, Thomas, Jürgen Reimann, and Siegfried Rothenberger. "Business Planning mit Success Resource Deployment." In Power Tools. Gabler Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-84461-3_3.

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Andrzejak, Artur, Derrick Kondo, and David P. Anderson. "Ensuring Collective Availability in Volatile Resource Pools Via Forecasting." In Managing Large-Scale Service Deployment. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87353-2_12.

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Rendón, David. "Deployment Modes of Your ARM Template." In Building Applications with Azure Resource Manager (ARM). Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7747-8_11.

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Andreoli, Jean-Marc, Damián Arregui, François Pacull, and Jutta Willamowski. "Resource-Based Scripting to Stitch Distributed Components." In Engineering and Deployment of Cooperative Information Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45785-2_34.

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Conference papers on the topic "Resource deployment"

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Xihua, L., and Shengming Jiang. "Aircraft-Based Maritime Emergency Communication Resource Deployment Method." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653111.

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Liang, Yuxin, Peng Yang, Yuanyuan He, and Feng Lyu. "Resource-Efficient Generative AI Model Deployment in Mobile Edge Networks." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901571.

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Kontos, Georgios, Polyzois Soumplis, and Emmanouel Varvarigos. "Optimization of Resource Deployment and Configuration in Hierarchical Edge Topologies." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901332.

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Li, Sicong, Kazutoshi Yoshii, Shigeru Shimamoto, and Tu Dac Ho. "Optimizing mmWave UAV Networks: Mobility-Aware Deployment and Resource Allocation." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757726.

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Zhai, Xiaolong, Zhenli He, Yuanfei Xiao, Junjie Wu, and Xuejie Yu. "Dynamic VNF Deployment and Resource Allocation in Mobile Edge Computing." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00079.

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Singhal, C., Y. Wu, F. Malandrino, M. Levorato, and C. F. Chiasserini. "Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, 2024. http://dx.doi.org/10.1109/infocom52122.2024.10621218.

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Wang, Qinyuan, Rong Chai, Chengchao Liang, and Qianbin Chen. "Average System Cost Minimization-Based Joint UAV Deployment and Resource Allocation." In 2024 IEEE 29th Asia Pacific Conference on Communications (APCC). IEEE, 2024. https://doi.org/10.1109/apcc62576.2024.10767994.

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Bouabid, Marwen, and Mohamed Farah. "Streamlining Disaster Detection: A Lightweight Fusion Architecture for Low-Resource Deployment." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA). IEEE, 2024. https://doi.org/10.1109/aiccsa63423.2024.10912524.

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Lu, Jingxi, Wenhao Li, Jianxiong Guo, Xingjian Ding, Zhiqing Tang, and Tian Wang. "Container Scheduling with Dynamic Computing Resource for Microservice Deployment in Edge Computing." In 2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE, 2024. https://doi.org/10.1109/msn63567.2024.00041.

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Hens, Raf, Bas Boone, Filip de Turck, and Bart Dhoedt. "Runtime Deployment Adaptation for Resource Constrained Devices." In IEEE International Conference on Pervasive Services. IEEE, 2007. http://dx.doi.org/10.1109/perser.2007.4283936.

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Reports on the topic "Resource deployment"

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Cruz, Jose B., and Jr. Strategies for Human-Automaton Resource Entity Deployment (SHARED). Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada435225.

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Abrigo, Michael Ralph, Gina Opiniano, and Zhandra Tam. Impact Evaluation of the Human Resource for Health Deployment Program (HRHDP). Philippine Institute for Development Studies, 2023. http://dx.doi.org/10.62986/dp2023.03.

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We assess the short-term impacts of the Doctors-to-the-Barrios (DTTB), a national physician deployment program in the Philippines that augments the supply of rural healthcare workers in underserved areas, on several health sector outcomes. Using regression discontinuity design, we find that the DTTB program doubles modern contraceptive-use prevalence and reduces child underweight prevalence in poor municipalities, coinciding with an increased propensity of having rural health physicians in the community. We estimated an internal program rate of return of 15.9%, which is likely to be severely u
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Ng, B., and W. Hanley. Towards Intelligent Dynamic Deployment of Mobile Sensors in Complex Resource-Bounded Environments. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/919953.

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Baker, F., B. Braden, S. Bradner, et al. Resource ReSerVation Protocol (RSVP) -- Version 1 Applicability Statement Some Guidelines on Deployment. Edited by A. Mankin. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2208.

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Johnston, Sweyn, John McGlynn, Veronica R. Prado, and Joseph Williams. Ocean Energy in the Caribbean: Technology Review, Potential Resource and Project Locational Guidance. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003783.

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This publication assesses the potential for deployment of the leading Marine Renewable Energy (MRE) technologies including Fixed Offshore Wind, Floating Offshore Wind, Ocean Thermal Energy Conversion across nine Countries of Interest (COI) in the Caribbean region. This is achieved by conducting a technology review, analysing resource levels in each of the COIs, and presenting the outputs of Locational Guidance work identifying preferred areas for potential future project development. This work concludes that MRE can offer a secure supply of indigenous clean energy, that resources are sufficien
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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Kendall Niles, Ken Pathak, and Joe Tom. Widened attention-enhanced atrous convolutional network for efficient embedded vision applications under resource constraints. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49459.

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Onboard image analysis enables real-time autonomous capabilities for unmanned platforms including aerial, ground, and aquatic drones. Performing classification on embedded systems, rather than transmitting data, allows rapid perception and decision-making critical for time-sensitive applications such as search and rescue, hazardous environment exploration, and military operations. To fully capitalize on these systems’ potential, specialized deep learning solutions are needed that balance accuracy and computational efficiency for time-sensitive inference. This article introduces the widened att
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Sgobbi, Francesca. How intentional are the employability strategies of Higher Education Institutions? DINÂMIA'CET-Iscte, 2023. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2023.02.

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An employability strategy communicates the commitment of higher education institutions (HEIs) towards students’ future, signals effectiveness and efficiency in resource allocation, and positions HEIs against competing institutions. However, not all HEIs display the same awareness when it comes to the design of a coherent bundle of actions in support of their graduates’ employability. This paper focuses on the formation of employment strategies to test the contrasting hypotheses of planned strategy, that frames strategy as an explicit and purposeful plan fully designed before deployment, and em
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Kennedy, Alan, Andrew McQueen, Mark Ballentine, et al. Sustainable harmful algal bloom mitigation by 3D printed photocatalytic oxidation devices (3D-PODs). Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43980.

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The impacts of Harmful Algal Blooms (HAB), often caused by cyanobacteria (Figure 1), on water resources are increasing. Innovative solutions for treatment of HABs and their associated toxins are needed to mitigate these impacts and decrease risks without introducing persistent legacy contaminants that cause collateral ecosystem impacts. This technical note (TN) identifies novel opportunities enabled by Additive Manufacturing (AM), or 3D printing, to produce high surface area advanced material composites to rapidly prototype sustainable environmental solutions for aquatic nuisance species contr
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Marnay, Chris, Raquel Blanco, Kristina S. Hamachi, Cornelia P. Kawaan, Julie G. Osborn, and F. Javier Rubio. Integrated assessment of dispersed energy resources deployment. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/776601.

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Solanki, Bharatkumar, Jayaraj Vijaykumar Rane, Kevin Robby, James Elsworth, Riccardo Bracho, and Otto Van Geet. Antigua and Barbuda Distributed Energy Resources Deployment Guidelines. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2440355.

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