Academic literature on the topic 'Control effort'

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Journal articles on the topic "Control effort"

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Whalley, R., and M. Ebrahimi. "Process control with minimum control effort." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 213, no. 4 (1999): 275–89. http://dx.doi.org/10.1243/0954408991529889.

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Abrardi, Laura, and Carlo Cambini. "Incentivizing self-control effort." Journal of Economic Behavior & Organization 164 (August 2019): 13–30. http://dx.doi.org/10.1016/j.jebo.2019.05.030.

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Rossetti, D. J., M. R. Jolly, and S. C. Southward. "Control effort weighting in feedforward adaptive control systems." Journal of the Acoustical Society of America 99, no. 5 (1996): 2955–64. http://dx.doi.org/10.1121/1.414877.

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Dong, Ming Xiao, Bo Pang, Hui Liu, and Fan Bing Li. "Effect of Input Shaping on Actuator Effort of Inertial Plants." Key Engineering Materials 464 (January 2011): 138–41. http://dx.doi.org/10.4028/www.scientific.net/kem.464.138.

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Most motion control systems are designed to satisfy the performance requirement in transient and frequency domain. The actuator effort of the control system is rarely considered during the design process. This paper investigates the effects of input shaping on actuator effort of PD combined with input shaping control for an inertial plant subject to four standard types of inputs. The actuator efforts of the control systems are described in general fomula. The acting regulation of PD controller parameters on the oscillatory frequency and damping ratio of actuator effort is investigated and the
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Diot, C., and J. Le Boudec. "Control of best effort traffic." IEEE Network 15, no. 3 (2001): 14–15. http://dx.doi.org/10.1109/mnet.2001.923936.

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Balaguer, P. "Similar model reference adaptive control with bounded control effort." International Journal of Adaptive Control and Signal Processing 25, no. 7 (2011): 577–92. http://dx.doi.org/10.1002/acs.1222.

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MacMartin, Douglas G., and Ben Kravitz. "The Engineering of Climate Engineering." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (2019): 445–67. http://dx.doi.org/10.1146/annurev-control-053018-023725.

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While reducing anthropogenic greenhouse gas emissions remains the most essential element of any strategy to manage climate change risk, it is also in principle possible to directly cool the climate by reflecting some sunlight back to space. Such climate engineering approaches include adding aerosols to the stratosphere and marine cloud brightening. Assessing whether these ideas could reduce risk requires a broad, multidisciplinary research effort spanning climate science, social sciences, and governance. However, if such strategies were ever used, the effort would also constitute one of the mo
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Rinella, Matthew J., Bruce D. Maxwell, Peter K. Fay, Theodore Weaver, and Roger L. Sheley. "Control effort exacerbates invasive-species problem." Ecological Applications 19, no. 1 (2009): 155–62. http://dx.doi.org/10.1890/07-1482.1.

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Eisenberger, Robert, Maureen Mitchell, and Fred A. Masterson. "Effort training increases generalized self-control." Journal of Personality and Social Psychology 49, no. 5 (1985): 1294–301. http://dx.doi.org/10.1037/0022-3514.49.5.1294.

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McGee, Andrew, and Peter McGee. "Search, effort, and locus of control." Journal of Economic Behavior & Organization 126 (June 2016): 89–101. http://dx.doi.org/10.1016/j.jebo.2016.03.001.

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Dissertations / Theses on the topic "Control effort"

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Rusli, Pinky. "The Effect of Control Source and Control Framing on Employee Effort." UKnowledge, 2017. http://uknowledge.uky.edu/accountancy_etds/8.

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Prior research suggests that controls can negatively impact the motivation of employees to exert effort and that the detrimental effects of controls depend on control source. That is, controls cause more adverse behavior when employees attribute the source of control implementation to their manager’s decision than when the source of control implementation is beyond their manager’s authority. This study uses experiments to investigate whether the behavioral effects of controls depend not only on control source, but also on control framing, by which managers can frame the control implementation
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Miller, Alan Henry David. "Best effort measurement based congestion control." Thesis, Connect to e-thesis, 2001. http://theses.gla.ac.uk/1015/.

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Thesis (Ph.D.) -- University of Glasgow, 2001.<br>Includes bibliographical references (p.i-xv). Print version also available. Mode of access : World Wide Web. System requirments : Adobe Acrobat reader reuired to view PDF document.
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Messer, Richard Scott. "Analytical and experimental study of control effort associated with model reference adaptive control." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-165637/.

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You, Silu. "Adaptive Backstepping Control of Active Magnetic Bearings." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1273679767.

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Oida, Kazumasa. "Internet Traffic Control for Best-Effort and Guaranteed Services." 京都大学 (Kyoto University), 2002. http://hdl.handle.net/2433/149383.

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Raja, Ahmad Raja Mohd Kamil. "Minimum effort active noise control with feedback inclusion architecture." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443903.

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Högberg, Johan. "The effect of effort, control and value frames on online users privacy decision." Thesis, Karlstads universitet, Avdelningen för psykologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647.

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A frame refers to a decision maker’s perception of a decision problem. Frames affect outcomes of decisions and are partially controlled by how decision problems are formulated. This study investigated the effect of framing alternatives in a privacy decision as gaining or losing value, need to make an effort and gaining control in an online environment. Also a structure among the many effects found in earlier research concerning privacy in the context of Internet based services was sought. For these purposes two experiments and one survey were conducted at a university in Sweden. The study incl
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Ye, Dan. "Control of real-time multimedia applications in best-effort networks." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1157.

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Gimpl-Heersink, Lisa, Christian Rudloff, Moritz Fleischmann, and Alfred Taudes. "Integrating Pricing and Inventory Control: Is it Worth the Effort?" SpringerOpen, 2008. http://dx.doi.org/10.1007/BF03342705.

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In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results for this more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model an
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Silva, Mateus Grellert da. "Computational effort analysis and control in High Efficiency Video Coding." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/95943.

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Codificadores HEVC impõem diversos desafios em aplicações embarcadas com restrições computacionais, especialmente quando há restrições de processamento em tempo real. Para tornar a codificação de vídeos HEVC factível nessas situações, é proposto neste trabalho um Sistema de Controle de Complexidade (SCC) que se adapta dinamicamente a capacidades computacionais varáveis. Considera-se que o codificador faz parte de um sistema maior, o qual informa suas restrições como disponibilidade da CPU e processamento alvo para o SCC. Para desenvolver um sistema eficiente, uma extensiva análise de complexid
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Books on the topic "Control effort"

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Structure, President's Council on Management Improvement (U S. ). Committee on Organization and. Streamlining internal control processes and strengthening management controls with less effort. The Committee, 1985.

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United States. Dept. of the Interior., ed. Streamlining internal control processes and strengthening management controls with less effort. The Committee, 1985.

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President's Council on Management Improvement (U.S.). Committee on Organization and Structure. Streamlining internal control processes and strengthening management controls with less effort. The Committee, 1985.

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Best, Richard A. The U.S. intelligence community and the counternarcotics effort. Congressional Research Service, Library of Congress, 1992.

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Baker, Randall. Research and training for desertification control: The United Nations effort. United Nations Environment Programme, 1985.

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Great Britain. Ministry of Agriculture, Fisheries and Food., ed. Effort control and decommissioning: Consultation paper for fishing industry organisations. Ministryof Agriculture, Fisheries and Food, 1992.

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Busvine, James Ronald. Disease transmission by insects: Its discovery and 90 years of effort to prevent it. Springer-Verlag, 1993.

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Ross, John A. Effort indices for national family planning programs, 1999 cycle. MEASURE Evaluation, Carolina Population Center, University of North Carolina, 2000.

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Office, General Accounting. Air traffic control : status of FAA's modernization effort: Fact sheet for Congressional requesters. The Office, 1991.

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Kilgour, D. Marc. The optimal distribution of IAEA inspection effort: Final report. Non-proliferation, Arms Control and Disarmament Division, Foreign Affairs and International Trade Canada, 1994.

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Book chapters on the topic "Control effort"

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Santamaria, Joseph P., and David A. Rosenbaum. "Etiquette and Effort." In Cognitive Control of Action. Routledge, 2024. http://dx.doi.org/10.4324/9781032636672-5.

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Haug, Matthew C. "Self-control, executive function, and effort." In Rethinking Self-Control. Routledge, 2024. http://dx.doi.org/10.4324/9781032710396-7.

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Chen, Jie, and Shinji Hara. "Performance Limits under Control Effort Constraints." In Control and Modeling of Complex Systems. Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-1-4612-0023-9_9.

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Shanker, Stuart G., and Devin M. Casenhiser. "Reducing the Effort in Effortful Control." In A Wittgensteinian Perspective on the Use of Conceptual Analysis in Psychology. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137384287_12.

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Lemos-Silva, Márcia, and Delfim F. M. Torres. "A Note On a Prey-Predator Model with Constant-Effort Harvesting." In Dynamic Control and Optimization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17558-9_11.

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Parrado-García, F. J., P. López-Matencio, D. Chaves-Diéguez, J. Vales-Alonso, J. J. Alcaraz, and F. J. González-Castaño. "Evaluation of Team-Sport Training Effort Control Systems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08491-6_28.

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Talebi, Mohammad S., Fahimeh Jafari, Ahmad Khonsari, and Mohammad H. Yaghmaee. "Best Effort Flow Control in Network-on-Chip." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89985-3_150.

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Bhattacharya, Aninda, and Alexander G. Parlos. "Flow Control of Real-time Multimedia Applications in Best-effort Networks." In Recent Advances in Intelligent Control Systems. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-548-2_13.

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Suver, James D., John A. Miller, and Leonard Farr. "Control of the Marketing Effort in Health Care Organizations." In Marketing Long-Term and Senior Care Services. Routledge, 2021. http://dx.doi.org/10.4324/9781315860169-9.

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Schuldt, Arne, Jan Ole Berndt, and Otthein Herzog. "The Interaction Effort in Autonomous Logistics Processes: Potential and Limitations for Cooperation." In Autonomous Cooperation and Control in Logistics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19469-6_7.

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Conference papers on the topic "Control effort"

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Chefchaouni, Sélim, Mehdi Benallegue, Adrien Escande, and Pierre-Brice Wieber. "Motion Accuracy and Computational Effort in QP-based Robot Control." In 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE, 2024. https://doi.org/10.1109/humanoids58906.2024.10769961.

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Acosta, Ignacio A., Angel L. Cedeño, Gonzalo Carvajal, Juan C. Agüero, and César A. Silva. "DNN-based Long Prediction Horizon Finite Control Set MPC with Switching Effort Penalization." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905213.

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Schomig, Ewald, Mario Sznaier, and Uy-Loi Ly. "Minimum control effort state-feedback H∞-control." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792926.

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Perreira, N. D. "Composite motion and effort control." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.609670.

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Ramesh, Siddharth, and Sneha Kumar Kasera. "Best Effort Session-Level Congestion Control." In 2007 IEEE International Conference on Network Protocols. IEEE, 2007. http://dx.doi.org/10.1109/icnp.2007.4375854.

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Mammar, Said, Naima Ait Oufroukh, and Sebastien Glaser. "Reducing rider effort for electric bicycles by environment disturbance compensation." In Control (MSC). IEEE, 2011. http://dx.doi.org/10.1109/cca.2011.6044379.

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Liwei, Zheng, and Jing Wuxing. "Adaptive Variable Structure Guidance Using Zero Effort Miss." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280816.

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Liwei, Zheng, Jing Wuxing, and Zhang Jianying. "Zero Effort Miss Formulation for Longer Range Targeting." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347430.

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"Spacecraft intercept guidance using zero effort miss steering." In Guidance, Navigation and Control Conference. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3890.

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Ulsoy, A. Galip. "Utilization of Control Effort Constraints in Linear Controller Design." In 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789136.

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Reports on the topic "Control effort"

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Kahn, Matthew, Pei Li, and Daxuan Zhao. Pollution Control Effort at China's River Borders: When Does Free Riding Cease? National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19620.

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Cyr, Lee. Insufficient Effort Responding on Mturk Surveys: Evidence-Based Quality Control for Organizational Research. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6337.

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Choquette, Gary. PR-000-14216-Z01 Add-On Instructions for Advanced Compressor Unit Control. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011641.

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Previous work has shown that the implementation of advanced compressor unit control routines have not been readily or consistently adopted by the industry. There are several barriers to the consistent adoption of advanced control methods: - Some of the control methods are complicated which makes them difficult to describe in a research report and also difficult to extract from the report and put into a software format that can be used in engine control systems; - The development of software code is performed independently by each adopter which can be time consuming and expensive; and - The rec
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Cristia, Julian P., Santiago Cueto, Ofer Malamud, and Raphaëlle Aulagnon. Streaking to Success: The Effects of Highlighting Streaks on Student Effort and Achievement. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0012912.

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We examine whether highlighting streaks encourages 4th to 6th grade students in Peru to increase their use of an online math platform and improve learning. Sixty thousand students were randomly assigned to receive messages that i) highlighted streaks, ii) provided personalized reminders with positive reinforcement, or iii) provided generic reminders, while others were assigned to a control group. Highlighting streaks and providing personalized reminders significantly increased platform use compared to generic reminders and the control group, with streaks more effective on the intensive margin
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Brunner, Huschenbett, and Beshouri. PR-336-06206-R01 Engine Control for Legacy Engines - Cylinder and Cycle Level Control. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010041.

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The reduction or even elimination of cylinder to cylinder combustion variation and cycle-to-cycle combustion instability may result in further nitrous oxides (NOx) reductions at the same engine average air/fuel ratio (and hence turbocharger operating point) or allow operation at a leaner air/fuel ratio before the onset of instability. Reductions in imbalance and instability can also reduce carbon pollutant emissions, reduce break specific fuel consumption (BSFC) and improve engine operability. Achieving these goals requires a better understanding of the sources and impacts of that imbalance an
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Sharp, Jeremy A., Duncan B. Bryant, and Gaurav Savant. Low-Sill Control Structure Gate Load Study. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44340.

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The effort performed here describes the process to determine the gate lifting loads at the Low-Sill Control Structure. To measure the gate loads, a 1:55 Froude-scaled model of the Low-Sill Control Structure was tested. Load cells were placed on 3 of the 11 gates. Tests evaluated the gate loads for various hydraulic heads across the structure. A total of 109 tests were conducted for 14 flows with each flow having two gate settings provided by the United States Army Corps of Engineers, New Orleans District. The load data illustrated the potential for higher gate lifting loads (GLL) to occur at t
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McCallum and Richard. PR-003-03405-R01 Liquid Pipeline Operator's Control Room Human Factors Risk Assessment and Guide. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010974.

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The purpose of this guide is to document methodologies, tools, procedures, guidance, and instructions that have been developed to provide liquid pipeline operators with an efficient and effective means of managing the human factors risks in their control rooms. A companion technical report to this document has been prepared, which documents the technical basis for these methodologies, as well as the findings and recommendations resulting from this effort.
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Knoop, Joseph A. Interagency Cooperation, Is It Enough to Achieve Unity of Effort?: Command and Control Concepts for the Homeland Maritime Domain. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada463561.

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Myrttinen, Henri. Connecting the Dots: Arms Control, Disarmament and the Women Peace and Security Agenda. UNIDIR, 2020. http://dx.doi.org/10.37559/gen/20/01.

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Connecting the Dots examines the normative and practical overlaps and connections of the Women, Peace and Security (WPS) agenda with the field of arms control and disarmament. Using an original approach to gender-responsive arms control and disarmament measures that is structured around the four WPS pillars of participation, prevention, protection, and relief and recovery, this report identifies current best practices and areas for further action. The report shows that further integration can bring benefits for both fields. For the arms control and disarmament community, the WPS pillars give s
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Davila, Xabier. GLODAP Quality Control (QC) procedures. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.12.

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The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort that provides high-quality, quality-controlled ocean biogeochemical bottle data with annual-updates, playing a crucial role in advancing our understanding of the Earth's oceans and their complex biogeochemical processes. This deliverable covers the GLODAP annual updates under the EuroSea funding, as well as the automatization of the quality control process of the data. Under the EuroSea funding, GLODAP has received three updates (GLODAPv2.2020, GLODAPv2.2021 and GLODAPv2.2022) with a total number of 245 cruises added, and in
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