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Artykuły w czasopismach na temat "Task assignment"

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Zhang, Li. "Complementarity, Task Assignment, and Incentives." Journal of Management Accounting Research 15, no. 1 (2003): 225–46. http://dx.doi.org/10.2308/jmar.2003.15.1.225.

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This paper studies the effect of complementarity on task assignment decisions and the design of optimal incentives for employees in charge of multiple tasks. A principal hires two identical agents. Each agent performs two tasks involving complementarities when the tasks vary in the informativeness of their performance measures. The principal tension governing how tasks are assigned lies between the heterogeneity loss due to aggregate performance measures under broad task assignments and the resulting positive information externalities. Although the aggregate performance measures under broad ta
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Wang, Wenfei, Maolong Lv, Le Ru, Bo Lu, Shiguang Hu, and Xinlong Chang. "Multi-UAV Unbalanced Targets Coordinated Dynamic Task Allocation in Phases." Aerospace 9, no. 9 (2022): 491. http://dx.doi.org/10.3390/aerospace9090491.

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Unmanned aerial vehicles (UAVs) can be used in swarms to achieve multiple tasks cooperatively. Multi-UAV and multi-target cooperative task assignments are difficult. To solve the problem of unbalanced, phased, cooperative assignment between UAVs and tasks, we establish an unbalanced, phased task assignment model that considers the constraints of task execution, time, and target task execution demand. Based on an improved consensus-based bundle algorithm (CBBA), we propose a two-tier task bidding mechanism. According to dynamic changes in new tasks, we study a dynamic assignment strategy and pr
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Bethke, Brett, Mario Valenti, and Jonathan How. "UAV Task Assignment." IEEE Robotics & Automation Magazine 15, no. 1 (2008): 39–44. http://dx.doi.org/10.1109/m-ra.2007.914931.

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He, Xiaoxue, Yubo Wang, Xu Zhao, Tiancong Huang, and Yantao Yu. "Task Assignment and Path Planning Mechanism Based on Grade-Matching Degree and Task Similarity in Participatory Crowdsensing." Sensors 24, no. 2 (2024): 651. http://dx.doi.org/10.3390/s24020651.

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Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task assignment and path planning pose complex challenges. Previous studies have only focused on the assignment of individual tasks, neglecting or overlooking the associations between tasks. In practice, users often tend to execute similar tasks when choosing assignments. Additionally, users frequently engage in tasks that do not match their abilities, lea
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Lujak, Marin, Alessio Salvatore, Alberto Fernández, Stefano Giordani, and Kendal Cousy. "How to fairly and efficiently assign tasks in individually rational agents’ coalitions? Models and fairness measures." Computer Science and Information Systems, no. 00 (2023): 75. http://dx.doi.org/10.2298/csis230119075l.

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An individually rational agent will participate in a multiagent coalition if the participation, given available information and knowledge, brings a payoff that is at least as high as the one achieved by not participating. Since agents? performance and skills may vary from task to task, the decisions about individual agent-task assignment will determine the overall performance of the coalition. Maximising the efficiency of the one-on-one assignment of tasks to agents corresponds to the conventional linear sum assignment problem, which considers efficiency as the sum of the costs or benefits of
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Li, Yunhui, Liang Chang, Long Li, Xuguang Bao, and Tianlong Gu. "TASC-MADM: Task Assignment in Spatial Crowdsourcing Based on Multiattribute Decision-Making." Security and Communication Networks 2021 (August 20, 2021): 1–14. http://dx.doi.org/10.1155/2021/5448397.

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The methodology, formulating a reasonable task assignment to find the most suitable workers for a task and achieving the desired objectives, is the most fundamental challenge in spatial crowdsourcing. Many task assignment approaches have been proposed to improve the quality of crowdsourcing results and the number of task assignment and to limit the budget and the travel cost. However, these approaches have two shortcomings: (1) these approaches are commonly based on the attributes influencing the result of task assignment. However, different tasks may have different preferences for individual
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Li, Xiang, Yan Zhao, Xiaofang Zhou, and Kai Zheng. "Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing." Data Science and Engineering 5, no. 4 (2020): 375–90. http://dx.doi.org/10.1007/s41019-020-00142-0.

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Abstract With the pervasiveness of GPS-enabled smart devices and increased wireless communication technologies, spatial crowdsourcing (SC) has drawn increasing attention in assigning location-sensitive tasks to moving workers. In real-world scenarios, for the complex tasks, SC is more likely to assign each task to more than one worker, called group task assignment (GTA), for the reason that an individual worker cannot complete the task well by herself. It is a challenging issue to assign worker groups the tasks that they are interested in and willing to perform. In this paper, we propose a nov
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Mir, Shantona, and Sukanto Roy. "Assignment Again! Investigating the Psychological Perspectives of Assignment and Assignment Deadlines among Tertiary Level Students." English Language Teaching Perspectives 9, no. 1-2 (2024): 117–30. http://dx.doi.org/10.3126/eltp.v9i1-2.68725.

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This paper aims to study university students' psychological perspectives on assignment deadlines. The purpose of this study is to investigate the issues faced by students before assignment submission and their relation to the education system, programme of study, personalities of teachers, and the importance of assignments. All in all, this paper delves into students' psychological barriers regarding assignments and the problems teachers face while assigning assignments. A mixed method is applied to conduct the research. The quantitative data has been collected using a survey among students fr
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Li, Xin, Wenyang Gan, Pang Wen, and Daqi Zhu. "Multi-AUV Kinematic Task Assignment Based on Self-Organizing Map Neural Network and Dubins Path Generator." Sensors 24, no. 19 (2024): 6345. http://dx.doi.org/10.3390/s24196345.

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To deal with the task assignment problem of multi-AUV systems under kinematic constraints, which means steering capability constraints for underactuated AUVs or other vehicles likely, an improved task assignment algorithm is proposed combining the Dubins Path algorithm with improved SOM neural network algorithm. At first, the aimed tasks are assigned to the AUVs by the improved SOM neural network method based on workload balance and neighborhood function. When there exists kinematic constraints or obstacles which may cause failure of trajectory planning, task re-assignment will be implemented
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Zhao, Yan, Jinfu Xia, Guanfeng Liu, et al. "Preference-Aware Task Assignment in Spatial Crowdsourcing." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2629–36. http://dx.doi.org/10.1609/aaai.v33i01.33012629.

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With the ubiquity of smart devices, Spatial Crowdsourcing (SC) has emerged as a new transformative platform that engages mobile users to perform spatio-temporal tasks by physically traveling to specified locations. Thus, various SC techniques have been studied for performance optimization, among which one of the major challenges is how to assign workers the tasks that they are really interested in and willing to perform. In this paper, we propose a novel preference-aware spatial task assignment system based on workers’ temporal preferences, which consists of two components: History-based Conte
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Rozprawy doktorskie na temat "Task assignment"

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Manoharan, Sathiamoorthy. "Task assignment in parallel processor systems." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/6568.

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A generic object-oriented simulation platform is developed in order to conduct experiments on the performance of assignment schemes. The simulation platform, called Genesis, is generic in the sense that it can model the key parameters that describe a parallel system: the architecture, the program, the assignment scheme and the message routing strategy. Genesis uses as its basis a sound architectural representation scheme developed in the thesis. The thesis reports results from a number of experiments assessing the performance of assignment schemes using Genesis. The comparison results indicate
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Monori, Akos. "Task assignment optimization in SAP Extended WarehouseManagement." Thesis, Högskolan Dalarna, Datateknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3598.

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Nowadays in the world of mass consumption there is big demand for distributioncenters of bigger size. Managing such a center is a very complex and difficult taskregarding to the different processes and factors in a usual warehouse when we want tominimize the labor costs. Most of the workers’ working time is spent with travelingbetween source and destination points which cause deadheading. Even if a worker knowsthe structure of a warehouse well and because of that he or she can find the shortest pathbetween two points, it is still not guaranteed that there won’t be long traveling timebetween th
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Brunet, Luc (Luc P. V. ). "Consensus-based auctions for decentralized task assignment." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44926.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 137-147).<br>This thesis addresses the decentralized task assignment problem in cooperative autonomous search and track missions by presenting the Consensus-Based class of assignment algorithms. These algorithm make use of information consensus routines to converge on the assignment rather than the situatio
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Lavoie, Marco Carleton University Dissertation Information and Systems Science. "Task assignment in a DSP multiprocessor environment." Ottawa, 1990.

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Alighanbari, Mehdi 1976. "Robust and decentralized task assignment algorithms for UAVs." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42177.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007.<br>Includes bibliographical references (p. 149-158).<br>This thesis investigates the problem of decentralized task assignment for a fleet of UAVs. The main objectives of this work are to improve the robustness to noise and uncertainties in the environment and improve the scalability of standard centralized planning systems, which are typically not practical for large teams. The main contributions of the thesis are in three areas related to distributed planning: information consensus, decentrali
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Tovstokorenko, O. Y., R. O. Gamzayev, and M. V. Tkachuk. "Case-Based Recommender for intelligent task assignment in software development." Thesis, NTU "KhPI", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38049.

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Luo, Lingzhi. "Distributed Algorithm Design for Constrained Multi-robot Task Assignment." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/426.

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The task assignment problem is one of the fundamental combinatorial optimization problems. It has been extensively studied in operation research, management science, computer science and robotics. Task assignment problems arise in various applications of multi-robot systems (MRS), such as environmental monitoring, disaster response, extraterrestrial exploration, sensing data collection and collaborative autonomous manufacturing. In these MRS applications, there are realistic constraints on robots and tasks that must be taken into account both from the modeling perspective and the algorithmic p
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Ottensmeyer, Mark Peter. "Telerobotic surgery : feedback time delay effects on task assignment." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10972.

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Holmes, Carol Anne. "Equipment selection and task assignment for multiproduct assembly system design." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14936.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1987.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY.<br>Bibliography: leaves 81-82.<br>by Carol Anne Holmes.<br>Ph.D.
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Alighanbari, Mehdi 1976. "Task assignment algorithms for teams of UAVs in dynamic environments." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17754.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and, (S.M.)--Massachusetts Institute of Technology, Operations Research Center, 2004.<br>Includes bibliographical references (p. 113-118).<br>For many vehicles, obstacles, and targets, coordination of a fleet of Unmanned Aerial Vehicles (UAVs) is a very complicated optimization problem, and the computation time typically increases very rapidly with the problem size. Previous research proposed an approach to decompose this large problem into task assignment and trajectory problems, while capturing key f
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Książki na temat "Task assignment"

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Wassenhove, Luk N. van. A set partitioning heuristic for the generalized assignment problem. INSEAD, 1991.

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Teays, Terry. Blazhko effect: Final report for contract NAS5-31840, task assignment 5788. National Aeronautics and Space Administration, 1996.

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DiMarco, John D. Network-based heuristics for task assignment in large-scale distributed systems. University of Toronto, Dept. of Computer Science, 1995.

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Dimarco, John D. Network-based heuristics for task assignment in large-scale distributed systems. National Library of Canada, 1995.

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United States. National Aeronautics and Space Administration., ed. Short period Type II Cepheids: Final report for contract NAS5-32081, task assignment 4109. National Aeronautics and Space Administration, 1996.

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United States. National Aeronautics and Space Administration., ed. Short period Type II Cepheids: Final report for contract NAS5-32081, task assignment 4109. National Aeronautics and Space Administration, 1996.

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United States. National Aeronautics and Space Administration., ed. Microwave remote sensing and radar polarization signatures of nuatural fields: Final report under contract NASS 5-30116, task assignment 5183. National Aeronautics and Space Administration, 1989.

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Volkov, Vladimir, Yaroslava Bulgakova, and Vera Semiletova. Normal physiology: situational tasks and assignments. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2162062.

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The textbook is designed to help students work independently while studying the course of normal physiology. The presented tasks and assignments are arranged in the order of study of the material and have varying degrees of difficulty. They are based on both classical and modern experimental data and are accompanied by sample solutions and responses. These materials are convenient to use in preparation for practical and final work, as well as for professional biological and medical Olympiads and quizzes. Meets the requirements of the latest generation of federal state educational standards for
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Nicol, David. Static assignment of complex stochastic tasks using stochastic majorization. National Aeronautics and Space Administration, Langley Research Center, 1992.

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United States. General Accounting Office. Office of Information Management and Communications., ed. Mission support project: Analyzing user requirements for assignment management tasks. General Accounting Office, 1992.

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Części książek na temat "Task assignment"

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Weyns, Danny. "Task Assignment." In Architecture-Based Design of Multi-Agent Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01064-4_6.

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Takahara, Yasuhiko, and Mihajlo Mesarovic. "Task Assignment Coordination." In Organization Structure. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4613-0213-1_8.

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Macdonald, Ian, Catherine Burke, and Karl Stewart. "Task Formulation and Assignment." In Systems Leadership. Routledge, 2018. http://dx.doi.org/10.4324/9781315178486-14.

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Moore, Brandon J., and Kevin M. Passino. "Task Assignment for Mobile Agents." In Cooperative Control of Distributed Multi-Agent Systems. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470724200.ch6.

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Macdonald, Ian, Catherine Burke, and Karl Stewart. "Task Assignment, Feedback and Review." In The Work of Management. Routledge, 2024. http://dx.doi.org/10.4324/9781003459118-22.

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Orleans, Luis Fernando, Carlo Emmanoel de Oliveira, and Pedro Furtado. "Task Assignment on Parallel QoS Systems." In Web Information Systems Engineering – WISE 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76993-4_46.

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Gonçalves, Nelson, and João Sequeira. "Multirobot Task Assignment in Active Surveillance." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04686-5_26.

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Goyal, Rahul, Tushar Sharma, and Ritu Tiwari. "Priority Based Multi Robot Task Assignment." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30976-2_67.

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Liu, Shan Fan, and Mary Lou Soffa. "Parallel task assignment by graph partitioning." In PARLE '92 Parallel Architectures and Languages Europe. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55599-4_144.

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Rochian, Vlad, Cosmin Bonchis, and Ionut Tepeneu. "Worker-to-Task Skill-Based Assignment." In Advanced Information Networking and Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28694-0_15.

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Streszczenia konferencji na temat "Task assignment"

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Lavaur, Thomas, Déborah Conforto Nedelmann, Corentin Chauffaut, Jérôme Lacan, and Caroline P. C. Chanel. "Verifiable Multi-Agent Multi-Task Assignment." In 2024 IEEE Secure Development Conference (SecDev). IEEE, 2024. http://dx.doi.org/10.1109/secdev61143.2024.00006.

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Bhavya, B., Hawraa Ali Sabah, Zainab Failhal lami, Manar Kareem Lafta, Ahmed Read Al-Tameemi, and D. Rajkumar Pillay. "Supervised Learning in Task Assignment Systems." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877511.

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Chen, Xiao. "Multi-Objective Task Assignment in Crowdsourcing." In 2025 IEEE 11th International Conference on High Performance and Smart Computing (HPSC). IEEE, 2025. https://doi.org/10.1109/hpsc66065.2025.00022.

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Zhou, Yuhang, Baoheng Zhang, Qingzhong Yan, Xiang Wu, and Yuming Bo. "Task Assignment Algorithm Based on Improved MADDPG." In 2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2024. https://doi.org/10.1109/icaice63571.2024.10864003.

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Zhao, Lele, Zhiwen Yu, Jiangyan Xu, Ziyue Yu, and Bin Guo. "Multi-Task Assignment in Sparse Crowdsensing Using Intra-Task and Inter-Task Data Correlations." In 2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE, 2024. https://doi.org/10.1109/msn63567.2024.00132.

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Hajaj, Chen, and Yevgeniy Vorobeychik. "Adversarial Task Assignment." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/526.

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The problem of task assignment to workers is of long-standing fundamental importance. Examples of this include the classical problem of assigning computing tasks to nodes in a distributed computing environment, assigning jobs to robots, and crowdsourcing. Extensive research into this problem generally addresses important issues such as uncertainty and incentives. However, the problem of adversarial tampering with the task assignment process has not received as much attention. We are concerned with a particular adversarial setting in task assignment where an attacker may target a set of workers
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Yusuke Morihiro, Toshiyuki Miyamoto, and Sadatoshi Kumagai. "An initial task assignment method for tasks assignment and routing problem." In SICE Annual Conference 2007. IEEE, 2007. http://dx.doi.org/10.1109/sice.2007.4421039.

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Tang, Feilong. "Optimal Complex Task Assignment in Service Crowdsourcing." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/217.

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Existing schemes cannot assign complex tasks to the most suitable workers because they either cannot measure skills quantitatively or do not consider assigning tasks to workers who are the most suitable but unavailable temporarily. In this paper, we investigate how to realize optimal complex task assignment. Firstly, we formulate the multiple-skill based task assignment problem in service crowdsourcing. We then propose a weighted multi-skill tree (WMST) to model multiple skills and their correlations. Next, we propose the acceptance expectation to uniformly measure the probabilities that diffe
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Liu, Shuo, Bohan Feng, Dan Yu, and Youyi Bi. "An Integrated Task and Path Planning Approach for Mobile Robots in Smart Factory." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95364.

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Abstract Mobile robots are being widely used in smart manufacturing, and efficient task assignment and path planning for these robots is an area of high interest. In previous studies, task assignment and path planning are usually solved as separate problems, which can result in optimal solutions in their respective fields, but not necessarily optimal as an integrated problem. Meanwhile, precedence constraints exist between sequential processing operations and material delivery tasks in the manufacturing environment. Thus, those planning methods developed for warehousing and logistics may not s
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Dang, Hung, Tuan Nguyen, and Hien To. "Maximum Complex Task Assignment." In International Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2539150.2539243.

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Raporty organizacyjne na temat "Task assignment"

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Harchol-Balter, Mor. Task Assignment With Unknown Duration. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368426.

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Basik, Kevin J. Small-Group Leader Assignment: Effects Across Different Degrees of Task Interdependence,. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada327895.

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Shima, Tal, Pantelis Isaiah, and Yoav Gottlieb. Motion Planning and Task Assignment for Unmanned Aerial Vehicles Cooperating with Unattended Ground Sensors. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada619854.

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Schroeder, Bianca, and Mor Harchol-Balter. Evaluation of Task Assignment Policies for Supercomputing Servers: The Case for Load Unbalancing and Fairness. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada377091.

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Trabia, M. B., M. Kiley, J. Cardle, and M. Joseph. Report on task assignment No. 3 for the Waste Package Project; Parts A & B, ASME pressure vessel codes review for waste package application; Part C, Library search for reliability/failure rates data on low temperature low pressure piping, containers, and casks with long design lives. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/138422.

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Wiedeking, Mathis, and Paraskevi Dimitriou. Updating Photonuclear Data Library and Generating a Reference Database for Photon Strength Functions. IAEA Nuclear Data Section, 2019. http://dx.doi.org/10.61092/iaea.cbxm-8pve.

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A summary is given of the 3rd Research Coordination Meeting (RCM) of the IAEA Co-ordinated Research Project (CRP) on Updating the Photonuclear Data Library and Generating a Reference Database for Photon Strength Functions. Participants presented their progress reports, reviewed the list of actions assigned at the previous meeting, agreed on the remaining task assignments necessary to achieve the goals of the CRP and agreed on the content and type of publication for the final CRP report. A summary of the presentations and discussions is presented in this report.
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Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3895.

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We analyzed the main cloud services in the article. We also described the main contribution of mobile cloud technology to education. The article presents the author’s development from the field of mobile cloud education in higher mathematics. The design architecture of this application is described in detail: QR generator and scanner, authorization, sending tasks. Block diagrams and images are presented that clearly demonstrate the operation of the application. We showed an example of solving the integral from the section of integral calculus for higher mathematics and showed how to download t
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García Marrugo, Alexandra I., Katherine Olston, Josh Aarts, Dashiell Moore, and Syed Kaliyadan. SCANA: Supporting students’ academic language development at The University of Sydney. Journal of the Australian and New Zealand Student Services Association, 2023. http://dx.doi.org/10.30688/janzssa.2023-2-01.

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In 2021, the Learning Hub at The University of Sydney launched the Student Communication and Needs Analysis (SCANA). This program of support consists of a screening language task and associated support interventions in first year units of study (UoS). The self-marking online screening tool developed by the Language Testing Research Centre at The University of Melbourne classifies students into three bands, with Band 1 identifying students at risk of academic failure due to insufficient language proficiency. All students in selected UoS are encouraged to take SCANA and offered academic language
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Kantar. Testing the impact of overt and covert ordering interventions on sustainable consumption choices: a randomised controlled trial. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.gtc137.

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The production, transportation, storage, and waste of food products have a significant impact on the environment. The UK government’s National Food Strategy (Dimbleby, 2021), an independent review of England’s entire food system, recommends that multiple interventions are required for healthy and sustainable diets to create a long-term shift in our food culture. Online supermarkets constitute an increasingly large share of grocery shopping, 12.6% of grocery sales were made online in March 2022 compared with just 8.0% three years ago (McKevitt, 2022). Therefore, it is important to understand ho
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