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Relevant bibliographies by topics / Production scheduling Multimedia systems. Algorithms

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Academic literature on the topic 'Production scheduling Multimedia systems. Algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Production scheduling Multimedia systems. Algorithms"

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Fantacci, Romano, Dania Marabissi, and Daniele Tarchi. "Adaptive scheduling algorithms for multimedia traffic in wireless OFDMA systems." Physical Communication 2, no. 3 (September 2009): 228–34. http://dx.doi.org/10.1016/j.phycom.2009.08.003.

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Johnson, Thomas Vinod, and Aidong Zhang. "Dynamic playout scheduling algorithms for continuous multimedia streams." Multimedia Systems 7, no. 4 (July 1, 1999): 312–25. http://dx.doi.org/10.1007/s005300050133.

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ZHU, H. J., and R. H. M. HAFEZ. "Performance of Scheduling Algorithms under Mobility for Multimedia Services in OFDM Systems." IEICE Transactions on Communications E89-B, no. 10 (October 1, 2006): 2670–77. http://dx.doi.org/10.1093/ietcom/e89-b.10.2670.

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Kwok, Yu-Kwong, and Vincent K. N. Lau. "Optimal admission control algorithms for scheduling burst data in CDMA multimedia systems." Computer Networks 38, no. 6 (April 2002): 765–77. http://dx.doi.org/10.1016/s1389-1286(01)00284-5.

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Jamadagni, Nagendra Kumar, Aniruddh M, Dr Govinda Raju M, and Dr Usha Rani K. R. "Comparative Study of Heterogeneous Multicore Scheduling Algorithms on Media Codecs." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 18, 2021): 840–49. http://dx.doi.org/10.51201/jusst/21/05355.

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All modern-day computers and smartphones come with multi-core CPUs. The multicore architecture is generally heterogeneous in nature to maximize computational throughput. These multicore systems exploit thread-level parallelism to deliver higher performance, but they are limited by the requirement of good scheduling algorithms that maximize CPU utility and minimize wasted and idle cycles. With the rise in streaming services and multimedia capabilities of smartphones, it is necessary to have efficient heterogeneous cores which are capable of performing multimedia processing at a fast pace. It is also needed that they utilize efficient scheduling algorithms to achieve this task. This paper compares some heterogeneous multi-core scheduling algorithms available and determines which is the most optimal scheduling algorithm given various codecs.

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Ma, Mingze, and Rizos Sakellariou. "Code-size-aware Scheduling of Synchronous Dataflow Graphs on Multicore Systems." ACM Transactions on Embedded Computing Systems 20, no. 3 (April 2021): 1–24. http://dx.doi.org/10.1145/3440034.

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Synchronous dataflow graphs are widely used to model digital signal processing and multimedia applications. Self-timed execution is an efficient methodology for the analysis and scheduling of synchronous dataflow graphs. In this article, we propose a communication-aware self-timed execution approach to solve the problem of scheduling synchronous dataflow graphs on multicore systems with communication delays. Based on this communication-aware self-timed execution approach, four communication-aware scheduling algorithms are proposed using different allocation rules. Furthermore, a code-size-aware mapping heuristic is proposed and jointly used with a proposed scheduling algorithm to reduce the code size of SDFGs on multicore systems. The proposed scheduling algorithms are experimentally evaluated and found to perform better than existing algorithms in terms of throughput and runtime for several applications. The experiments also show that the proposed code-size-aware mapping approach can achieve significant code size reduction with limited throughput degradation in most cases.

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MILTENBURG, JOHN, and GORDON SINNAMON. "Algorithms for Scheduling Multi-Level Just-In-Time Production Systems." IIE Transactions 24, no. 2 (May 1992): 121–30. http://dx.doi.org/10.1080/07408179208964209.

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Witkowski, Tadeush, Soliman Elzway, and Arkadiush Antchak. "Designing of the Main Operations of Genetic Algorithms for Production Scheduling." Journal of Automation and Information Sciences 35, no. 12 (2003): 49–57. http://dx.doi.org/10.1615/jautomatinfscien.v35.i12.70.

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ZHAO, Jun. "Models and Algorithms of Production Scheduling in Tandem Cold Rolling." Acta Automatica Sinica 34, no. 5 (January 20, 2009): 565–73. http://dx.doi.org/10.3724/sp.j.1004.2008.00565.

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Zemczak, Marcin, and Damian Krenczyk. "A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems." Advanced Materials Research 1036 (October 2014): 864–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.864.

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The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

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Dissertations / Theses on the topic "Production scheduling Multimedia systems. Algorithms"

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Hung, Yee-shing Regant. "Scheduling online batching systems." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B34624016.

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Hung, Yee-shing Regant, and 洪宜成. "Scheduling online batching systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B34624016.

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Alapati, Venkata Somi Reddy. "A New Scheduling Algorithm for Multimedia Communication." Thesis, University of North Texas, 1995. https://digital.library.unt.edu/ark:/67531/metadc277951/.

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The primary purpose of this work is to propose a new scheduling approach of multimedia data streams in real-time communication and also to study and analyze the various existing scheduling approaches.

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Venkatachari, Badrinath. "Better admission control and disk scheduling for multimedia applications." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0501102-153840.

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Yang, Donghai. "Dynamic planning and scheduling in manufacturing systems with machine learning approaches." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41757968.

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Wang, Xiaoxi. "Design of virtual cellular manufacturing systems using genetic algorithms." Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B42577305.

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Yang, Donghai, and 杨东海. "Dynamic planning and scheduling in manufacturing systems with machine learning approaches." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41757968.

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王曉曦 and Xiaoxi Wang. "Design of virtual cellular manufacturing systems using genetic algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B42577305.

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Chung, Sai-ho. "A genetic algorithm approach in distributed scheduling in multi-factory production networks." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37826773.

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Chung, Sai-ho, and 鍾世豪. "A genetic algorithm approach in distributed scheduling in multi-factory production networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37826773.

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Books on the topic "Production scheduling Multimedia systems. Algorithms"

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Pinedo, Michael. Scheduling: Theory, algorithms, and systems. 3rd ed. New York: Springer, 2008.

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Pinedo, Michael. Scheduling: Theory, algorithms, and systems. 3rd ed. New York: Springer, 2008.

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Scheduling: Theory, algorithms, and systems. 2nd ed. Upper Saddle, N.J: Prentice Hall, 2002.

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Scheduling: Theory, algorithms, and systems. Englewood Cliffs, N.J: Prentice Hall, 1995.

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service), SpringerLink (Online, ed. Scheduling: Theory, Algorithms, and Systems. 4th ed. Boston, MA: Springer US, 2012.

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CAM: Algorithmen und Decision Support für die Fertigungssteuerung. Berlin: Springer-Verlag, 1989.

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Wilfried, Brauer, Hromkovič Juraj 1958-, Rozenberg Grzegorz, Salomaa Arto, and SpringerLink (Online service), eds. Time-Dependent Scheduling. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Pinedo, Michael. Scheduling: Theory, Algorithms and Systems. Prentice Hall College Div, 1994.

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Pinedo, Michael. Scheduling: Theory, Algorithms and Systems. Prentice Hall College Div, 1994.

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Pinedo, Michael L. Scheduling: Theory, Algorithms, and Systems. Springer, 2012.

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Book chapters on the topic "Production scheduling Multimedia systems. Algorithms"

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Dulai, Tibor, György Dósa, Ágnes Werner-Stark, Gyula Ábrahám, and Zsuzsanna Nagy. "A Hybridization Technique for Improving a Scheduling Heuristic in Mass Production." In Algorithms for Intelligent Systems, 173–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3246-4_13.

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Tang, Dunbing, Kun Zheng, and Wenbin Gu. "Hormone Regulation Based Algorithms for Production Scheduling Optimization." In Adaptive Control of Bio-Inspired Manufacturing Systems, 19–45. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3445-4_2.

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Alexandre, F., C. Cardeira, F. Charpillet, Z. Mammeri, and M. C. Portmann. "Compu-search methodologies II: Scheduling using genetic algorithms and artificial neural networks." In The Planning and Scheduling of Production Systems, 301–36. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-1195-9_10.

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Sebaaly, M. F., and Hideo Fujimoto. "Integrated planning and scheduling for multi-product job-shop assembly based on genetic algorithms." In Advances in Production Management Systems, 375–86. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35304-3_33.

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Tanizaki, Takashi, and Hideaki Katagiri. "Genetic Algorithms with Simulation for a Job Shop Scheduling Problem with Crane Conveyance." In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 483–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66923-6_57.

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Chan, Ding-Yu. "HEURISTIC ALGORITHMS FOR FLEXIBLE MANUFACTURING CELL SCHEDULING PROBLEMS." In Advances in Production Management Systems, 567–74. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-444-88919-5.50064-0.

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Süer, Gürsel A., and Fatih Yarimoglu. "Mathematical Modeling and Genetic Algorithms for Product Sequencing in a Cellular System." In Handbook of Research on Design and Management of Lean Production Systems, 31–47. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5039-8.ch002.

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This chapter considers a product-sequencing problem in a synchronized manufacturing environment, which is using a uniform time bucket approach for synchronization. This problem has been observed in a jewelry manufacturing company and is valid in other labor-intensive cellular environments. The scheduling problem handled has two aspects: first, determining manpower allocation; second, sequencing the products in order to minimize the number of periods where available manpower is exceeded. The number of operators needed in a time bucket may exceed the available manpower level as different products have different manpower requirements for different processes. A mathematical model is developed for the manpower allocation part of the problem. To perform product sequencing, two methods are used, namely mathematical modeling and genetic algorithm. A new five-phase GA approach is proposed, and the results show that it outperforms the classical GA. Several experiments have been conducted to find better GA parameters as well. Finally, GA results are compared with mathematical model results. Mathematical Modeling finds optimal result in a reasonable time for small problems. On the other hand, for the bigger problems, genetic algorithm is a feasible approach to use.

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El Hariri, Esraa, Nashwa El-Bendary, Aboul Ella Hassanien, and Amr Badr. "Automated Ripeness Assessment System of Tomatoes Using PCA and SVM Techniques." In Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, 101–30. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6030-4.ch006.

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One of the prime factors in ensuring a consistent marketing of crops is product quality, and the process of determining ripeness stages is a very important issue in the industry of (fruits and vegetables) production, since ripeness is the main quality indicator from the customers' perspective. To ensure optimum yield of high quality products, an objective and accurate ripeness assessment of agricultural crops is important. This chapter discusses the problem of determining different ripeness stages of tomato and presents a content-based image classification approach to automate the ripeness assessment process of tomato via examining and classifying the different ripeness stages as a solution for this problem. It introduces a survey about resent research work related to monitoring and classification of maturity stages for fruits/vegetables and provides the core concepts of color features, SVM, and PCA algorithms. Then it describes the proposed approach for solving the problem of determining different ripeness stages of tomatoes. The proposed approach consists of three phases, namely pre-processing, feature extraction, and classification phase. The classification process depends totally on color features (colored histogram and color moments), since the surface color of a tomato is the most important characteristic to observe ripeness. This approach uses Principal Components Analysis (PCA) and Support Vector Machine (SVM) algorithms for feature extraction and classification, respectively.

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Elamvazuthi, Irraivan, Pandian Vasant, and Timothy Ganesan. "Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment." In Handbook of Research on Industrial Informatics and Manufacturing Intelligence, 171–92. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0294-6.ch007.

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Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment, effective decision-making has become a necessity for survival in the marketplace. This chapter provides insight into the issues relating to integration of fuzzy logic techniques into decision support systems for profitability quantification in a manufacturing environment. The chapter is divided into five sections with a general introduction of the topic, followed by a thorough literature review on the existing techniques. Thereafter, fuzzy logic algorithms using logistic membership functions and resource variables for decision making aiming at quality improvement are discussed. A case study involving a textile firm is then described with the computational results and findings, and finally, future research directions are presented.

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Conference papers on the topic "Production scheduling Multimedia systems. Algorithms"

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Tsukanov, M. A., and O. A. Kovrizhnykh. "Analysis of Algorithms for Scheduling Complex Production Systems." In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA). IEEE, 2019. http://dx.doi.org/10.1109/summa48161.2019.8947598.

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Mnif, Kais, Radia Khdhir, and Lotfi Kamoun. "Evaluation and comparaison of scheduling algorithms in Wimax networks." In 2014 International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2014. http://dx.doi.org/10.1109/icmcs.2014.6911374.

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Cecchi, Marco, Romano Fantacci, Dania Marabissi, and Daniele Tarchi. "Adaptive Scheduling Algorithms for Multimedia Traffic in Wireless OFDMA Systems." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.997.

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Morad, N. "Integrated production planning and scheduling in cellular manufacturing using genetic algorithms." In Second International Conference on Genetic Algorithms in Engineering Systems. IEE, 1997. http://dx.doi.org/10.1049/cp:19971202.

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Zhu, Haiying, and Roshdy Hafez. "Novel Scheduling Algorithms for Multimedia Service in OFDM Broadband Wireless Systems." In 2006 IEEE International Conference on Communications. IEEE, 2006. http://dx.doi.org/10.1109/icc.2006.254801.

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Minallah, Nasru, Syed Saddam Hussain Shah, Naina Said, Waleed Khan, Aysha Nayab, and Zaryab Shinwari. "Performance Comparison of Chunk/Peer Scheduling Algorithms of Peer-to-Peer Streaming Systems." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00077.

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Wu, Shih-Lin, and Wei-Wen Wang. "Energy-Efficient Multimedia Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems." In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM). IEEE, 2015. http://dx.doi.org/10.1109/cit/iucc/dasc/picom.2015.205.

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Zerrouki, K., and K. Belkadi. "Parallelization of Memetic Algorithms for the problem of scheduling in the production systems of HFS type." In 2013 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2013. http://dx.doi.org/10.1109/codit.2013.6689638.

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Quang Chieu Ta, Jean-Charles Billaut, and Jean-Louis Bouquard. "Heuristic algorithms to minimize the total tardiness in a flow shop production and outbound distribution scheduling problem." In 2015 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2015. http://dx.doi.org/10.1109/iesm.2015.7380147.

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Cao, Hua-Jun, Yu-Cheng Chou, and Harry H. Cheng. "Mobile Agent Based Integration Framework for Flexible Dynamic Job Shop Scheduling." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87623.

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Although production scheduling has been extensively studied, it is limited in the scope of applications. A mobile agent based flexible dynamic scheduling framework is presented in this article as a scheme to integrate various scheduling models, approaches, and algorithms, and flexibly and autonomously adapt the disturbances in the shop floor. Therefore, such a mobile agent based framework can help expand the scope of applications in the production scheduling field. In this framework, there are three kinds of main agents, including order data agent, scheduling model agent, and cell data agent. The order and cell data agents are designed to acquire dynamically calculated and formatted data from the systems and devices. The scheduling model agent is designed to obtain the optimal solution for distributed manufacturing cells to achieve high performance, such as minimizing the energy consumption. Devices, such as machine tools, are integrated into the framework through intelligent embedded terminals, which can be used by human operators or triggered by sensors to acquire the real-time processing data and on-the-spot conditions. A C based multi-agent platform, which is called Mobile-C, is adopted to develop the mobile agents for real-time and resource constrained applications with interface to hardware in different execution environments. A computational experiment of energy-saving scheduling based on generic algorithm is presented to validate the proposed mobile agent-based dynamic scheduling framework.

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