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Relevant bibliographies by topics / RD optimization

Academic literature on the topic 'RD optimization'

Author: Grafiati

Published: 7 July 2024

Last updated: 7 July 2024

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Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers

Journal articles on the topic "RD optimization":

1

Selby, D. A. "Marketing event optimization." IBM Journal of Research and Development 51, no. 3.4 (May 2007): 409–19. http://dx.doi.org/10.1147/rd.513.0409.

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Kanagasabai, L. "Real Power Loss Reduction by Rock Dove Optimization and Fuligo Septica Optimization Algorithms." Journal of Engineering Sciences 7, no. 2 (2020): E1—E6. http://dx.doi.org/10.21272/jes.2020.7(2).e1.

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This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. Rock Dove towards a particular place is based on the familiar (sight) objects on the traveling directions. In the formulation of the RD algorithm, atlas and range operator, and familiar sight operators have been defined and modeled. Every generation number of Rock Dove is reduced to half in the familiar sight operator and Rock Dove segment, which hold the low fitness value that occupying the lower half of the generation will be discarded. Because it is implicit that the individual’s Rock Dove is unknown with familiar sights and very far from the destination place, a few Rock Doves will be at the center of the iteration. Each Rock Dove can fly towards the final target place. Then in this work, the FSO algorithm is designed for real power loss reduction. The natural vacillation mode of Fuligo Septica has been imitated to develop the algorithm. Fuligo Septica connects the food through swinging action and possesses exploration and exploitation capabilities. Fuligo Septica naturally lives in chilly and moist conditions. Mainly the organic matter in the Fuligo Septica will search for the food and enzymes formed will digest the food. In the movement of Fuligo Septica it will spread like a venous network, and cytoplasm will flow inside the Fuligo Septica in all ends. THE proposed RD optimization algorithm and FSO algorithm have been tested in IEEE 14, 30, 57, 118, and 300 bus test systems and simulation results show the projected RD and FSO algorithm reduced the real power loss. Keywords: optimal reactive power, transmission loss, Rock Dove, Fuligo Septica.

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Agrafiotis, D. K. "Multiobjective optimization of combinatorial libraries." IBM Journal of Research and Development 45, no. 3.4 (May 2001): 545–66. http://dx.doi.org/10.1147/rd.453.0545.

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Aydin, Cem Savas, Senim Ozgurler, Mehmet Bulent Durmusoglu, and Mesut Ozgurler. "Response surface approach to robust design of assembly cells through simulation." Assembly Automation 38, no. 4 (September 3, 2018): 450–64. http://dx.doi.org/10.1108/aa-08-2017-093.

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Purpose This paper aims to present a multi-response robust design (RD) optimization approach for U-shaped assembly cells (ACs) with multi-functional walking-workers by using operational design (OD) factors in a simulation setting. The proposed methodology incorporated the design factors related to the operation of ACs into an RD framework. Utilization of OD factors provided a practical design approach for ACs addressing system robustness without modifying the cell structure. Design/methodology/approach Taguchi’s design philosophy and response surface meta-models have been combined for robust simulation optimization (SO). Multiple performance measures have been considered for the study and concurrently optimized by using a multi-response optimization (MRO) approach. Simulation setting provided flexibility in experimental design selection and facilitated experiments by avoiding cost and time constraints in real-world experiments. Findings The present approach is illustrated through RD of an AC for performance measures: average throughput time, average WIP inventory and cycle time. Findings are in line with expectations that a significant reduction in performance variability is attainable by trading-off optimality for robustness. Reductions in expected performance (optimality) values are negligible in comparison to reductions in performance variability (robustness). Practical implications ACs designed for robustness are more likely to meet design objectives once they are implemented, preventing changes or roll-backs. Successful implementations serve as examples to shop-floor personnel alleviating issues such as operator/supervisor resistance and scepticism, encouraging participation and facilitating teamwork. Originality/value ACs include many activities related to cell operation which can be used for performance optimization. The proposed framework is a realistic design approach using OD factors and considering system stochasticity in terms of noise factors for RD optimization through simulation. To the best of the authors’ knowledge, it is the first time a multi-response RD optimization approach for U-shaped manual ACs with multi-functional walking-workers using factors related to AC operation is proposed.

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Abramov, A. M., and A. S. Kovalev. "Strength calculation and optimization of axle housing form." Izvestiya MGTU MAMI 4, no. 2 (January 20, 2010): 12–14. http://dx.doi.org/10.17816/2074-0530-69523.

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The article describes strength calcualtion on the casted axle housing of the truck using FEM-software and its further form optimization with topology optimization software, performed for RD center of KAMAZ JSC. The optimization provided 17% mass reduction of the casting.

6

Bournas, R. M. "Optimization of TCP segment size for file transfer." IBM Journal of Research and Development 41, no. 3 (May 1997): 357–66. http://dx.doi.org/10.1147/rd.413.0357.

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Cascaval, C., E. Duesterwald, P. F. Sweeney, and R. W. Wisniewski. "Performance and environment monitoring for continuous program optimization." IBM Journal of Research and Development 50, no. 2.3 (March 2006): 239–48. http://dx.doi.org/10.1147/rd.502.0239.

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Katircioglu, K., T. M. Brown, and M. Asghar. "An SQL-based cost-effective inventory optimization solution." IBM Journal of Research and Development 51, no. 3.4 (May 2007): 433–45. http://dx.doi.org/10.1147/rd.513.0433.

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Xiao, Wu, Yan Yan Zhou, Shou Cheng Du, and Gao Hong He. "Process Parameters Optimization of the MTBE Reactive Distillation by Orthogonal Numberical Test and Least Square Method." Advanced Materials Research 550-553 (July 2012): 947–52. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.947.

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Because of the large number of operating and equipment parameters of the reactive distillation(RD) and a strong coupling between them, it is difficult to find the optimal process parameters. A novel hybrid method on process parameters optimization of methyl tertiary butyl ether (MTBE) RD was developed in the paper. MTBE RD process was firstly simulated with Aspen Plus. Then based on the MTBE RD model, sensitivity analysis of various parameters was accomplished to determine the key decision parameters. After that, the orthogonal numerical tests were performed in feasible fields to obtain nearly optimal parameters. Finally, with the orthogonal numerical test results, the least square method was used to regress equation, which showed the relationship between objective function and the key decision parameters, thus determining the optimal operating parameters and equipment parameters. Results of analysis indicated that the combination of orthogonal numerical test and the least square method can be attractive since the number of tests was reduced substantially while the specification of the products can be met.

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Poindexter, D. J., S. R. Stiffler, P. T. Wu, P. D. Agnello, T. Ivers, S. Narasimha, T. B. Faure, et al. "Optimization of silicon technology for the IBM System z9." IBM Journal of Research and Development 51, no. 1.2 (January 2007): 5–18. http://dx.doi.org/10.1147/rd.511.0005.

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Dissertations / Theses on the topic "RD optimization":

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Whitcomb, Jacob A. "The value of power grid flexibility : applied optimization methods for bulk electricity storage and technology RD&D." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/105303.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 104-110).
As power systems adapt to include aging infrastructure, new socio-political priorities, and renewable electricity resources, grid operators look to a more flexible grid. Electricity storage flexibility is one strategy gaining interest. Clean energy advocates see benefits in terms of greater renewables integration and lower emissions; grid operators see storage as an improved security system in the face of supply and demand variability and uncertainty. However, as power systems are designed for reliable and efficient operations using available technologies, newer, better-performing technologies such as energy storage devices may not always win the market. Several market barriers to storage remain, including high storage capital costs and a lack of trusted tools for modeling and estimating the lifetime value of new capacity investments [1]. Most storage modeling strategies omit constraints that describe the technical operating boundaries of different power generating technologies, which can lead an overestimation of total operating costs for the power system [2]. I describe a mixed integer linear optimization framework for estimating the optimal control and value of energy storage in a virtual power generation system with economic, regulatory, and technical performance characteristics. The model consists of power plant commitment, dispatch, and selective capacity expansion constraints that simulate optimal investments and operations of the power generation system. A new formulation for modeling energy storage is also developed in order to improve the accuracy of round-trip efficiencies and allow for the inclusion of minimum storage output constraints. Using this model, I solve for break-even target prices for storage capital costs under a range of scenarios (storage futures scenarios). A second challenge slowing the adoption of storage is a lack of spending on performance improvements and cost-reductions. A two-factor learning curve and optimization approach is developed to solve for the optimal portfolio of research, development, demonstration, and diffusion investments (RDD&D) over multiple investment periods. Using the target capital costs from unit commitment model output as the investment model input value, innovating firms and policy planners may better identify cost targets and investment strategies for reaching target levels of storage deployment. Electricity storage becomes more valuable as net load variability increases. The impact of net load variability is tested by changing the level of renewable generation resources in the system. The current capital cost of storage-here, compressed air energy storage (CAES)-generally exceeds the target cost needed to make CAES economical when it is used to provide load following, load shifting, and operating reserve services in high-voltage power generation systems. Scenario analysis shows that when renewables generation reaches 35%, CAES becomes economical in limited quantities due to the added value from providing renewables integration and greater operating reserves. Using this framework, I identify different levels of cost reductions needed to drive improved adoption and make several RDD&D recommendations.
by Jacob Whitcomb.
S.M. in Engineering and Management

2

Zouidi, Naïma. "Complexity reduction of VVC encoder using machine learning techniques : intra-prediction." Electronic Thesis or Diss., Rennes, INSA, 2023. http://www.theses.fr/2023ISAR0016.

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En juillet 2020, la nouvelle norme de codage vidéo, appelle Versatile Video Coding (VVC), a été publiée par le groupe Joint Video Experts Team (JVET). Cette norme permet un niveau plus élevé de polyvalence avec une meilleure performance en compression vidéo par rapport à son prédécesseur, High-Efficiency Video Coding (HEVC). En effet, elle introduit plusieurs nouveaux outils de codage tels que les modes de prédiction intra à granularité plus fine (IPMs) et la division QuadTree Multi-type Tree (QTMT). Étant donné que la recherche des meilleures décisions de codage est généralement précédée par l’optimisation du coût en distorsion et débit binaire, l’introduction de nouveaux outils de codage ou l’amélioration des outils existants nécessite des calculs supplémentaires. En fait, la norme VVC est 31 fois plus complexe que la norme HEVC. Par conséquent, cette thèse vise à réduire la complexité de calcul de la norme VVC et plus particulièrement au niveau des outils de prédiction Intra. Elle étudie en premiers lieu les opportunités de réduction de la complexité dans la décision du mode intra de la norme VVC. Puis, deux algorithmes rapides de décision de mode de prédiction intra basé sur des modèles d’apprentissage automatique telles que les réseaux de neurones convolutifs multi-tachés et l’arbre de décision LightGradient Boosting Machine (Light-GBM) ont été proposés
In July 2020, the new video coding standard Versatile Video Coding (VVC), was released by the Joint Video Expert Team (JVET). This standard enables a higher level of versatility with a better compression performance compared to its predecessor, High Efficiency Video Coding (HEVC). Indeed, it introduces several new coding tools such as finer-granularity Intra prediction Modes (IPMs), and nested Multi-type Tree (QTMT) and finer-granularity Intra Prediction Modes (IPM). Because finding the best encoding decisions is usually preceded by optimizing the Rate Distortion (RD) cost, introducing new coding tools or enhancing existing ones would require additional computations. In fact, the VVC is 31 times more complex than the HEVC. Therefore, the aim of this thesis is to reduce the computational complexity of the VVC. First, it studies the upper bound of complexity reduction in the intra mode decision of the VVC. Then, proposes two fast decision algorithms for the intra mode decision based on machine learning algorithms such as Multi-Task Learning (MTL) and Light-Gradient Boosting Machine (Light-GBM) were proposed

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Keil, Wolfgang. "Optimization principles and constraints shaping visual cortical architecture." Doctoral thesis, 2012. http://hdl.handle.net/11858/00-1735-0000-000D-F0B0-0.

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Books on the topic "RD optimization":

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Sidebotham, David, Alan Forbes Merry, Malcolm E. Legget, and I. Gavin Wright, eds. Practical Perioperative Transoesophageal Echocardiography. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198759089.001.0001.

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Practical Perioperative Transoesophageal Echocardiography, 3^rd edition, is a concise guide to the use of transoesophageal echocardiography (TOE) for patients undergoing cardiac surgical and interventional cardiological procedures. The text is aimed at anaesthetists and cardiologists, particularly those in training and those preparing for examinations. Three-dimensional imaging is integrated throughout the text. New to the third edition are chapters on mitral valve repair, aortic valve repair, TOE in the interventional catheter laboratory, and TOE assessment of pericardial disease. The first three chapters address the fundamentals of ultrasound imaging: physical principles, artefacts, image optimization, and quantitative echocardiography. Chapters 4 and 5 cover standard views, anatomical variants, and cardiac masses. Chapters 6 and 7 address left ventricular systolic and diastolic function, respectively. The subsequent eight chapters form the core of the book and deal with the cardiac valves and the thoracic aorta. Emphasis is placed on those aspects relevant to cardiac surgery; therefore, the mitral and aortic valves are afforded particular prominence. The role of three-dimensional imaging for the mitral valve is highlighted. Chapter 17 covers the emerging role of TOE for patients undergoing procedures in the catheter laboratory and covers topics such as transcatheter aortic valve replacement and edge-to-edge mitral valve repair. Chapter 18 provides an overview of the common congenital abnormalities encountered in adults. Two chapters address the important subjects of thoracic transplantation and mechanical cardiorespiratory support. Finally, Chapter 21 brings many threads from previous chapters together to describe the role of TOE in assessing haemodynamic instability.

Book chapters on the topic "RD optimization":

1

Kim, Byung-Gyu, and Kalyan Goswami. "RD Cost Optimization." In SpringerBriefs in Electrical and Computer Engineering, 53–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39241-7_5.

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Gu, Mengjun. "Analysis of the Discriminability of High-Temperature Performance Indices of Modified Asphalt Mixtures." In Lecture Notes in Civil Engineering, 243–51. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1748-8_20.

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AbstractDifferent indices have various capabilities to evaluate the high-temperature performance of modified asphalt mixtures. This study aims at investigate the discriminability of high-temperature performance indices. The values of five indices were determined from wheel tracking test, Marshall test and uniaxial penetration test, including dynamic stability (DS), comprehensive stability index (CSI), maximum rutting depth (RD), Marshall stability (MS), and uniaxial penetration strength (UPS). The discriminability of five indices was further examined by entropy weight method and CRITIC method, respectively. The results show that DS, MS and UPS are not appropriate to evaluate the high-temperature performance of modified asphalt mixtures, but CSI and RD show preferable distinguishing ability to evaluate the high-temperature performance. As a consequence, RD is recommended to be employed as secondary index to supplement the CSI in wheel tracking test. The findings of this study will contribute to the optimization of evaluation on high-temperature performance of modified asphalt mixtures.

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Prakash Bandsode, Shirish, and Chandra Shekar Besta. "Centralized and Decentralized Control System for Reactive Distillation Diphenyl Carbonate Process." In Distillation Processes - From Solar and Membrane Distillation to Reactive Distillation Modelling, Simulation and Optimization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101981.

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Reactive distillation (RD), a process-intensified technique, involves the integration of reaction and separation in a single unit. High non-linearities associated with the reactive distillation process constrict the control degrees of freedom and set the key challenge in the design of a robust control system. In this chapter, reactive distillation diphenyl carbonate (RD-DPC) design is optimized, and a decentralized as well as centralized feedback control configuration is applied to carry out the control studies. To execute the control scheme, a dynamic model of RD-DPC process is developed using Aspen Dynamic and interfaced with MATLAB Simulink for online control implementation. A comparative multi-loop feedback controller control performance study is done for different transfer function models obtained by using analytical- and optimization-based process identification techniques. The controller parameters obtained from the simple internal model control (SIMC) tuning relations for decentralized controller and Tanttu & Lieslehto (TL) tuning relations for centralized controller are applied to (i) the linear transfer function model and (ii) non-linear plant model. Set-point tracking, load rejection studies and robust stability analysis are carried out to compare the performance of different models and to investigate the controller performance of the non-linear model.

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Meng, Fannian, Ziqi Zhang, Liangwen Wang, and Yiyang Liu. "Volute Optimization Based on NSGA-II Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220230.

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Optimizing the volute performance can effetely improve the efficiency of a centrifugal fan by changing the volute geometric parameter, so the Kriging model is used to optimize the volute geometric parameter. Firstly, Volute radius Rd, the radius of tongue r and outlet angle of the volute θ are selected as the optimization parameters of the volute, and Latin hypercube sampling is used to configure the initial sample points, the corresponding three-dimensional aerodynamic model under each sample point configuration is constructed. CFD software is used to simulate the efficiency value and total pressure of the centrifugal blower under each initial sample point configuration; Secondly, the Kriging surrogate model of initial sample point configuration parameters, efficiency value and total pressure of volute is constructed, the high-precision Kriging surrogate model is used as the fitness function of NSGA-II algorithm to get the optimal solution. The rationality of the above method is verified by optimizing the 9-19.4A type centrifugal fan volute. The efficiency of the optimized fan under working conditions is increased by 1%, and the total pressure under working conditions is not reduced.

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Lambert, Peter, Stefaan Mys, Jozef Škorupa, Jürgen Slowack, Rik Van de Walle, Ming Yuan Yang, Christos Grecos, and Vassilios Argiriou. "Fast Mode Decision in H.264/AVC." In Handheld Computing for Mobile Commerce, 403–24. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-761-9.ch021.

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The latest video coding standard (Wiegand, 2003), H.264/AVC, uses variable block sizes ranging from 16x16 to 4x4 to perform motion estimation in inter-frame coding and a rich set of prediction patterns for intra-frame coding. Then a robust RDO (Rate Distortion Optimization) technique is employed to select the best coding mode and reference frame for each macroblock. As a result, H.264/AVC exhibits high coding efficiency compared to older video coding standards [2, 3] and shows significant future promise in the fields of video broadcasting and communication. However, high coding efficiency also carries high computational complexity. Fast mode decision is one of the key techniques to significantly reducing computational complexity for a similar RD (Rate Distortion) performance. This chapter provides an up-to-date critical survey of fast mode decision techniques for the H.264/AVC standard. The motivation for this chapter is twofold: Firstly to provide an up-to-data review of the existing techniques and secondly to offer some insights into the studies of fast mode decision techniques.

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(Almbhen), Manish Sharma. "WEBSITES SAFETY." In Futuristic Trends in Information Technology Volume 2 Book 20, 121–27. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs20p1ch9.

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Site security is an application set up to know that site information is not presented to cybercriminals on the internet. These activities help to safeguard delicate information, equipment, and programming inside an internet-based webpage from the different assortments of assaults that presently exist. Right security arrangements will be the safeguard of door of the website from the security dangers. For examples, 1st DDoS assaults: These assaults can crash the site altogether, shutting down all usefulness and making it unavailable to guests. 2 nd Malware: Another way to say "noxious programming," malware is likewise a very normal danger acclimated take delicate client information, dispersing spam, permittingcybercriminals to get to your site, and the sky is the limit from there. 3 rd Blacklisting: It is in many cases what could befall your site assuming that web search tools find malware. 4 th Vulnerability exploits: Cybercriminals can get to a site and information put away on it by taking advantage of frail regions during a site, similar to an obsolete Word Press module. 5 th Demolishment: This assault replaces the site's substance with a cybercriminal's unfriendly substance. Adding site security best practices to spot will save the guests from these dangers also. 6 th Stolen Data: From email locations to installment data, programmers habitually track guest or client information put away on a site. 7 th Spamming plans: Spamming doesn't simply occur in email - a few assaults appear as sites that appear to be real but are intended to fool the client into giving delicate data. 8 th Session hijacking: Few cyberattacks can assume control over a client's meeting and power them to require undesirable things on a site. 9th Malicious redirects: Certain assaults can divert guests from the situating they expected to head out to a malevolent site. 10th Search engine optimization Spam: Surprising connections, pages, and remarks are likewise put on a site to confound your guests and direct people to malevolent destinations. Discussion: As innovation changes, it becomes a broadening challenge for exchanges of every sort to remain client data secure on the internet. The fundamental of web security is to retain programmers and digital criminals getting to protect data. Without proactive security, methodology organizations can face the risk of the turn of events, heightening of malware, and assaults on sites

Conference papers on the topic "RD optimization":

1

Jiajun, Wu. "An Effective RD Cost Optimization Algorithm for HEVC." In 2018 2nd IEEE Advanced Information Management,Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2018. http://dx.doi.org/10.1109/imcec.2018.8469676.

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Fernandez-Escribano, Gerardo, Hari Kalva, Pedro Cuenca, and Luis Orozco-Barbosa. "RD-Optimization for MPEG-2 to H.264 Transcoding." In 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262460.

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Milicevic, Z. M., and Z. S. Bojkovic. "RD Optimization and Skip Prediction for H. 264/AVC Standard." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630203.

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Ropert, Michael, and Francois Ropert. "RD Optimization of uniform threshold scalar quantization for Laplacian distributions." In 2013 Picture Coding Symposium (PCS). IEEE, 2013. http://dx.doi.org/10.1109/pcs.2013.6737682.

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"MATERIALS ІІІ-rd International scientific-technical conference COMPUTER MODELING AND OPTIMIZATION OF COMPLEX SYSTEMS." In COMPUTER MODELING AND OPTIMIZATION OF COMPLEX SYSTEMS. Balance-Club, 2017. http://dx.doi.org/10.32434/cmocs-2017.

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Liu, Li, and Xinhua Zhuang. "Cabac Based Bit Estimation for Fast H.264 RD Optimization Decision." In 2009 6th IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2009. http://dx.doi.org/10.1109/ccnc.2009.4784711.

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Rusert, Thomas, Martin Spiertz, and Jens-Rainer Ohm. "H.264/AVC Compatible Scalable Multiple Description Video Coding with RD Optimization." In 2006 International Symposium on Intelligent Signal Processing and Communications. IEEE, 2006. http://dx.doi.org/10.1109/ispacs.2006.364851.

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MAMAI, Oksana, and Igor MAMAI. "OPTIMIZATION OF THE MANAGEMENT MECHANISM FOR THE INNOVATIVE DEVELOPMENT OF THE REGION’S AGRICULTURAL SECTOR." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.054.

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The current trends in the development of innovative activities in Russia are far from fully meeting the expectations associated with improving the competitiveness of products and the quality of life of the population, with the provision of dynamic sustainable growth, and the formation of the innovative economy. The mixed nature of the Russian economy, the fundamentally different technological level and institutional conditions for the development of various sectors exclude the possibility of defining a single model of innovative development that is universal for all sectors. In the current conditions, the technical and technological level of the agrarian sector of the country's economy is the most catastrophically lagging behind the world's leading producers of agricultural products. Domestic agrarian production is 5 times more energy intensive and 4 times more metal consuming, and labor productivity is 8-10 times lower than in the USA, in the leading countries of the European Union and Canada. Not having eliminated this techno-technological backlog, without implementing the advanced development of certain specific areas of scientific research and technological developments in the field of agriculture, Russia's agrarian sector will finally lose its competitiveness and will not be able to ensure the country's food security. Thus, the need for a scientific justification of the theory, methodology and practice of the innovative development management of the agrarian sector of the regional economy in the context of large-scale economic and institutional transformations determines the urgency of the issue. Currently, most of the works of domestic researchers put emphasis on the problems of knowledge transfer, at the same time, the methodology for creating and commercializing competitive scientific knowledge through the formation of innovative agricultural clusters is beyond the scope of scientific research, and its management and economic mechanism has not been developed yet. Thus, the aim of this research is to develop proposals for optimization of the management mechanism for the innovative development of the region's agricultural sector (by the example of the Samara Region of the Russian Federation). The research used a set of methods of scientific knowledge used at both theoretical and empirical levels (conceptual modeling, synthesis and analysis, tabular and graphical interpretation of theoretical information and empirical data).

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Zhuang, Yan, Takeshi Ikenaga, and Satoshi Goto. "Rate Estimation of RD Optimization for Intra Mode Decision of H.264/AVC." In 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.617.

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Prasad, Vikas, P. Seshu, and Dnyanesh N. Pawaskar. "Controller Design and Road-Friendly Suspension Optimization: Half Vehicle Model." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22051.

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Abstract In this paper, the design of the suspension system for Heavy Goods Vehicles (HGV) is proposed, which deals with two performance criteria simultaneously. A semi-tractor trailer is used in present work and modeled with half vehicle model. Four types of linear, as well as non-linear, passive and semi-active suspension systems, are presented in this work. The control law is proposed for the semi-active suspension system using a PID controller to remove the need for passive damper along with active damper. Two objective optimization is performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Road Damage (RD) is taken as the first objective along with Goods Damage (GD) as the second objective. All problems are minimization problems. It is concluded based on Pareto front comparison of different suspension systems that the semi-active suspension system with the proposed control law performs well for HGV.