Journal articles: 'Multimedia Optimization'

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Aggarwal, Charu C., Joel L. Wolf, and Philip S. Yu. "Optimization issues in multimedia systems." International Journal of Intelligent Systems 13, no. 12 (December 1998): 1113–35. http://dx.doi.org/10.1002/(sici)1098-111x(199812)13:12<1113::aid-int3>3.0.co;2-o.

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Hrabovskyi, Yevhen, and Volodymyr Fedorchenko. "DEVELOPMENT OF THE OPTIMIZATION MODEL OF THE INTERFACE OF MULTIMEDIA EDITION." EUREKA: Physics and Engineering 3 (May 31, 2019): 3–12. http://dx.doi.org/10.21303/2461-4262.2019.00902.

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The aim of the research work is development of a model for optimizing the interface of a multimedia publication. In this research, five levels of interaction are identified for the interface of a multimedia publication – flat surfaces, layouts, structures, feature sets, strategies. The relationship between the levels of user interaction and interface properties of a multimedia publication is analyzed. It is proposed to select interface components based on the properties of the multimedia editions they provide. In order to construct models of optimization of elements of the interface of a multimedia publication, estimates of the interconnection of elements of the interface with functional capabilities by the total matrix are used. To combine the standard models into a single interface optimization model, an analysis of the relationship between the elements of the interface of the multimedia publication and the characteristics of the multimedia publication has been conducted. According to the results of the analysis, an economical tree is constructed, which allows to build a hierarchy of the stages of optimization of the interface of the multimedia publication and to determine the input data for the implementation of the task. The definition of the input data allows to show the principle of the interface optimization model in the form of a "black" box. An algorithm for optimizing the interface element of a multimedia publication is proposed. As a result of the practical implementation of the optimization model for the multimedia edition interface, a software product, created on the basis of HTML markup using cascading CSS style stylesheets and JavaScript language, was obtained. Adobe Device Central CS5 tested the created software on devices with different characteristics.

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Garofalakis, Minos N., and Yannis E. Ioannidis. "Scheduling issues in multimedia query optimization." ACM Computing Surveys 27, no. 4 (December 1995): 590–92. http://dx.doi.org/10.1145/234782.234797.

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Huang, Jianwei, Zhu Li, and Qian Zhang. "Collaboration and Optimization for Multimedia Communications." Advances in Multimedia 2008 (2008): 1–2. http://dx.doi.org/10.1155/2008/720685.

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Lu, Jingrong. "Optimization Simulation of Balanced Distribution of Multimedia Network Modular Teaching Resources." Mobile Information Systems 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/5348953.

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The balanced distribution of multimedia wireless network modular teaching resources is improved by optimizing and adjusting the balanced distribution of multimedia wireless network modular teaching resources. Based on block grid balanced scheduling and resource spectrum fusion, a balanced distribution method of multimedia wireless network modular teaching resources is proposed. A blockchain Internet of Things accesses control network architecture system for the balanced allocation of multimedia wireless network modular teaching resources established using the priority business scheduling method. Modular resource allocation of multimedia wireless networks and adaptive forwarding are adjusted to control the data packets. The bandwidth guarantee mechanism is used for the equitable allocation of multimedia wireless network modular teaching resources information flow. Multi-service hierarchical management of multimedia wireless network modular teaching resources spectrum is controlled by block grid balanced scheduling and resource spectrum fusion. The high-energy physical computing system structure is used to allocate the resource spectrum balance of the modular teaching resources of the multimedia wireless networks, ensuring the bandwidth requirements of various services. The classified management and balanced allocation of the multimedia wireless networks’ teaching storage, system, and teaching spectrum resources are made possible. The results of the tests show that this method effectively reduces the delay in the allocation of modular multimedia wireless network teaching resources, improves the utilization rate of modular multimedia wireless network teaching resources, and significantly improves their reading and writing performance.

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Feng, Wei Wei. "Multi-objective Optimization Algorithm for Multimedia English Teaching (MOAMET) Based on Computer Network Traffic Prediction Model." International Journal of Emerging Technologies in Learning (iJET) 13, no. 03 (March 5, 2018): 58. http://dx.doi.org/10.3991/ijet.v13i03.8372.

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In order to solve the problem of multi-objective optimization for multimedia English teaching, this paper proposes a multi-objective optimization algorithm for multimedia English teaching (MOAMET) based on computer network traffic prediction model, which is based on the computer network traffic prediction model strategy. This algorithm establishes time series for individuals correlated to same reference points, and for such time series through computer network traffic model optimizes multimedia English teaching objectives. Meanwhile, it feeds back the prediction error of the historical moment to the current prediction to improve the accuracy of the optimization, and adds disturbance in each optimized individual to increase the diversity of initial multimedia English teaching so as to speed up the convergence speed of the algorithm in the new environment. Through experiments it teats the algorithm, also makes comparison and analysis with two existing algorithms, the results show that the proposed algorithm can maintain good performance in dealing with multi-objective optimization for multimedia English teaching.

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Heng, Shao. "A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment." International Journal of Mobile Computing and Multimedia Communications 8, no. 3 (July 2017): 21–31. http://dx.doi.org/10.4018/ijmcmc.2017070102.

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In the era of multimedia big data, the online learning behavior of users becomes rich and colorful. This paper proposes a hybrid clonal selection differential evolution optimization algorithm based on clonal selection algorithm and differential evolution in multimedia big data environment. The proposed intelligent optimization algorithm treats each e-learning behavior of the user as an antibody, and gets the best results of multimedia big data mining by a number of iterative searches. Experimental results show the feasibility and effectiveness of the proposed intelligent optimization algorithm.

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Zelenin, A. N., and M. L. Jusupov. "Optimization of usage of the multimedia equipment." E3S Web of Conferences 282 (2021): 07012. http://dx.doi.org/10.1051/e3sconf/202128207012.

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The occupations spent by means of the big screen, become more and more widespread way of training. On faculty of maintenance of transport and technological computers of faculty of transport-technological computers and tools of the Ural state agrarian university since 1996 the multimedia complex takes root into training. From the last developments it is possible to note: *creation of a computer class of simulators-simulators of agricultural processes; *development and implantation of interactive posters; *development and implantation 3D computer models. By preparation of bachelors in a direction «Agroengeniring» under the profile: «Technical systems in agrobusiness» at teaching discipline "Agricultural computers" for students 3 courses are applied the multimedia.

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Taboada, Ianire, Fidel Liberal, Jose Oscar Fajardo, and Urtzi Ayesta. "QoE–aware optimization of multimedia flow scheduling." Computer Communications 36, no. 15-16 (September 2013): 1629–38. http://dx.doi.org/10.1016/j.comcom.2013.06.007.

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Safadi, Bahjat, Nadia Derbas, and Georges Quénot. "Descriptor optimization for multimedia indexing and retrieval." Multimedia Tools and Applications 74, no. 4 (May 17, 2014): 1267–90. http://dx.doi.org/10.1007/s11042-014-2071-6.

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Putra, Emansa Hasri, Risanuri Hidayat, and I. Wayan Mustika. "Energy-Efficient Routing Based on Dynamic Programming for Wireless Multimedia Sensor Networks (WMSNs)." International Journal of Electronics and Telecommunications 63, no. 3 (August 28, 2017): 279–83. http://dx.doi.org/10.1515/eletel-2017-0037.

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Abstract Wireless Multimedia Sensor Networks (WMSNs) advances can route multimedia applications from source nodes to a sink. However, they require energy efficiency and network lifetime due to limited power resources in the sensor nodes. This paper proposes an energy-efficient routing optimization for multimedia transmission in WMSNs. The optimization utilizes a routing algorithm based on the dynamic programming. The routing optimization algorithm selects intermediary nodes which have minimum energy above 60%. Then, the priority selection of paths immediately finds neighboring nodes which have the greatest energy minimum. If there is the same minimum energy between the neighboring nodes, then the second priority selection is based on smaller link cost.

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Schlegel, Kai, Florian Stegmaier, Sebastian Bayerl, Harald Kosch, and Mario Döller. "Exploring Different Optimization Techniques for an External Multimedia Meta-Search Engine." International Journal of Multimedia Data Engineering and Management 3, no. 4 (October 2012): 31–51. http://dx.doi.org/10.4018/jmdem.2012100102.

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Along with the tremendous growth of Social Media, the variety of multimedia sharing platforms on the Web is ever growing, whereas unified retrieval issues remain unsolved. Beside unified retrieval languages and metadata interoperability issues, a crucial task in such a retrieval environment is query optimization in federated and distributed retrieval scenarios. This work introduces three different dimensions of query optimization that have been integrated in an external multimedia meta-search engine. The main innovations are query execution planning, various query processing strategies as well as a multimedia perceptual caching system.

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Huang, Weiyuan, Yanyan Chen, and Xun Zhu. "Vehicle Routing Optimization Based on Multimedia Communication and Intelligent Transportation System." Journal of Advanced Transportation 2022 (March 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/4463621.

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With the maturity and popularity of network technology and multimedia technology, more and more communication tools and means have entered people’s lives. The usual communication tools are often limited to the ability to transmit sound signals. This method does not well express the information between the two parties in some special occasions, such as a noisy environment, where both parties have language or hearing impairments. The multimedia communication system is a technology that combines network communication and multimedia. It utilizes the efficiency of data transmission over the network and the diversity of information in multimedia, making communication between people faster, clearer, and more intuitive. The multimedia communication system is an important part of the application to the intelligent transportation system. Intelligent transportation system is a systematic, real-time, accurate, interactive, and extensive traffic management system established by the comprehensive use of modern high and new technology in the transportation system. With these characteristics, intelligent transportation system has increasingly become an important means to solve modern traffic problems. Based on multimedia communication and intelligent transportation system, this article optimizes the vehicle path and realizes the application of intelligent transportation. The proposed intelligent transportation system realizes functions, such as vehicle speed detection, vehicle behavior semantic analysis, license plate recognition by processing video data, and image data acquired based on multimedia communication, and can capture illegal vehicles and then identify illegal vehicles. The license plate is conducive to promoting the management and control of intelligent transportation and reducing the occurrence of traffic accidents.

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Ci, Song, Haohong Wang, and Dalei Wu. "A Theoretical Framework for Quality-Aware Cross-Layer Optimized Wireless Multimedia Communications." Advances in Multimedia 2008 (2008): 1–10. http://dx.doi.org/10.1155/2008/543674.

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Although cross-layer has been thought as one of the most effective and efficient ways for multimedia communications over wireless networks and a plethora of research has been done in this area, there is still lacking of a rigorous mathematical model to gain in-depth understanding of cross-layer design tradeoffs, spanning from application layer to physical layer. As a result, many existing cross-layer designs enhance the performance of certain layers at the price of either introducing side effects to the overall system performance or violating the syntax and semantics of the layered network architecture. Therefore, lacking of a rigorous theoretical study makes existing cross-layer designs rely on heuristic approaches which are unable to guarantee sound results efficiently and consistently. In this paper, we attempt to fill this gap and develop a new methodological foundation for cross-layer design in wireless multimedia communications. We first introduce a delay-distortion-driven cross-layer optimization framework which can be solved as a large-scale dynamic programming problem. Then, we present new approximate dynamic programming based on significance measure and sensitivity analysis for high-dimensional nonlinear cross-layer optimization in support of real-time multimedia applications. The major contribution of this paper is to present the first rigorous theoretical modeling for integrated cross-layer control and optimization in wireless multimedia communications, providing design insights into multimedia communications over current wireless networks and throwing light on design optimization of the next-generation wireless multimedia systems and networks.

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Adhyapak, DeepaliParag, Sridharan Bhavani, and Aparna Pradeep Laturkar. "Swarm Based Cross Layer Optimization Protocol for WMSN." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (April 1, 2018): 302. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp302-308.

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Wireless Multimedia Sensor Network (WMSN) is comprised of tiny, low cost multimedia devices such as video cameras and microphones. These networks can transfer scalar as well as multimedia data into real time as well as non-real time applications. However addition of such devices exposes additional challenges on both QoS assurance and energy efficiency for efficient use of resources. This paper presents cross layer based AntSenseNet protocol to meet various QoS requirements such as throughput, jitter, lifetime and packet delivery ratio in order to improve network lifetime. Cross layer routing protocol utilizes scheduling algorithm and AntSenseNet protocol builds hierarchical structure and able to use multipath routing protocol. Simulation results shows Cross layer based AntSenseNet protocol outperforms Ant Sense routing protocol and cross layer routing protocol in terms of throughput and packet delivery ratio

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Zong Chen, Dr Joy Iong, and Dr. S. Smys. "Optimized Dynamic Routing in Multimedia Vehicular Networks." September 2020 02, no. 03 (September 17, 2020): 174–82. http://dx.doi.org/10.36548/jitdw.2020.3.005.

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Intelligent transport system is one of thriving research domain and in particular multimedia vehicular networks gains more attention. The deployment of multimedia services in vehicle ad-hoc networks (VANETs) provides real time support to users and provides better traffic management with high safety measures. Most of the vehicles has multimedia applications such as weather sensors, real time map applications etc., and it requires adequate resources to process. Resource allocation to a static network is simple and various routing models are evolved. In case of dynamic network like VANETs, routing is still in progress in order to obtain a better model. Routing directly related to quality of services of network and user, it is essential to develop a better dynamic routing strategy for multimedia wireless networks. The proposed work aims to provide an optimized dynamic routing strategy for multimedia networks. For efficient routing, k-means clustering is used to organize the clusters and exchanges the routing information and inverted ant colony optimization is used to obtain the optimal path for multimedia access. Proposed model is experimentally verified and compared to conventional ant colony optimization and grey wolf optimization in terms of parameters such as end to end delay, throughput, target used, average computation time and efficiency.

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Adhyapak, Deepali Parag, Sridharan Bhavani, and Aparna Pradeep Laturkar. "Swarm Based Cross Layer Optimization Protocol for WMSN." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (June 1, 2018): 1296. http://dx.doi.org/10.11591/ijeecs.v10.i3.pp1296-1302.

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<p>Wireless Multimedia Sensor Network (WMSN) is comprised of tiny, low cost multimedia devices such as video cameras and microphones. These networks can transfer scalar as well as multimedia data into real time as well as non-real time applications. However addition of such devices exposes additional challenges on both QoS assurance and energy efficiency for efficient use of resources. This paper presents cross layer based AntSenseNet protocol to meet various QoS requirements such as throughput, jitter, lifetime and packet delivery ratio in order to improve network lifetime. Cross layer routing protocol utilizes scheduling algorithm and AntSenseNet protocol builds hierarchical structure and able to use multipath routing protocol. Simulation results shows Cross layer based AntSenseNet protocol outperforms Ant Sense routing protocol and cross layer routing protocol in terms of throughput and packet delivery ratio.</p>

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Wu, Yanping, Changlong Zheng, Lele Xie, and Meihui Hao. "Cloud-Based English Multimedia for Universities Test Questions Modeling and Applications." Computational Intelligence and Neuroscience 2022 (September 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/4563491.

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This study constructs a cloud computing-based college English multimedia test question modeling and application through an in-depth study of cloud computing and college English multimedia test questions. The emergence of cloud computing technology undoubtedly provides a new and ideal method to solve test data and paper management problems. This study analyzes the advantages of the Hadoop computing platform and MapReduce computing model and builds a distributed computing platform based on Hadoop using universities’ existing hardware and software resources. The study analyzes the advantages of the Hadoop computing platform and the MapReduce computing model. The UML model of the system is given, the system is implemented, the system is tested functionally, and the results of the analysis are given. Multimedia is the critical link to realizing the optimization of English test questions. The proper use of multimedia test questions will undoubtedly become an inevitable trend in the development of English test questions in the future, which requires every worker on the education front to continuously analyze and study the problems arising from multimedia teaching, summarize the experience of multimedia teaching, and explore new methods of multimedia teaching, so that multimedia teaching can better promote the optimization of English test questions in colleges and universities and better serve the education teaching.

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He, Yongqiang, and Mingming Yang. "Research on cross-layer design and optimization algorithm of network robot 5G multimedia sensor network." International Journal of Advanced Robotic Systems 16, no. 4 (July 2019): 172988141986701. http://dx.doi.org/10.1177/1729881419867016.

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Cross-layer optimization based on maximizing the utility of network robot 5G multimedia sensor network is a systematic method for cross-layer design of wireless networks. It abstracts the functional and performance requirements of the layers in the protocol stack into objective functions and constraints in mathematical optimization problems. In this article, the cross-layer optimization problem of wireless Mesh networks using multi-radio interface multi-channel technology is studied. The optimization problem is modelled based on the network utility maximization method, and the corresponding algorithm is proposed. Based on the random network utility maximization method, the cross-layer optimization model of network robot 5G multimedia sensor network is established. Aiming at the time-varying randomness of random data flow and wireless propagation environment in network robot 5G multimedia sensor network, a model of joint congestion control and power control based on chance constrained programming is proposed, and its genetic algorithm is used to verify it. Reforming research will help speed up the practical pace of the field, with certain theoretical forward-looking and practical value.

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Weber, S., and Gustavo de Veciana. "Rate adaptive multimedia streams: optimization and admission control." IEEE/ACM Transactions on Networking 13, no. 6 (December 2005): 1275–88. http://dx.doi.org/10.1109/tnet.2005.860105.

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Jaesung Lee and Hyuk Jae Lee. "Wire Optimization for Multimedia SoC and SiP Designs." IEEE Transactions on Circuits and Systems I: Regular Papers 55, no. 8 (September 2008): 2202–15. http://dx.doi.org/10.1109/tcsi.2008.920153.

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Nan, Xiaoming, Yifeng He, and Ling Guan. "Queueing model based resource optimization for multimedia cloud." Journal of Visual Communication and Image Representation 25, no. 5 (July 2014): 928–42. http://dx.doi.org/10.1016/j.jvcir.2014.02.008.

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Yang, Ran, Robert D. van der Mei, Dennis Roubos, Frank J. Seinstra, and Henri E. Bal. "Resource optimization in distributed real-time multimedia applications." Multimedia Tools and Applications 59, no. 3 (March 23, 2011): 941–71. http://dx.doi.org/10.1007/s11042-011-0782-5.

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Chang, Seok-Ho, Jihwan P. Choi, Pamela C. Cosman, and Laurence B. Milstein. "Optimization of Multimedia Progressive Transmission Over MIMO Channels." IEEE Transactions on Vehicular Technology 65, no. 3 (March 2016): 1244–60. http://dx.doi.org/10.1109/tvt.2015.2412655.

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Tai, Lingjuan, Linhong Li, and Jun Du. "Multimedia based intelligent network big data optimization model." Multimedia Tools and Applications 78, no. 4 (July 14, 2018): 4579–603. http://dx.doi.org/10.1007/s11042-018-6391-9.

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Ali, Amjad, Hongwu Liu, Ali Kashif Bashir, Shaker El-Sappagh, Farman Ali, Adeel Baig, Daeyoung Park, and Kyung Sup Kwak. "Priority-Based Cloud Computing Architecture for Multimedia-Enabled Heterogeneous Vehicular Users." Journal of Advanced Transportation 2018 (September 27, 2018): 1–12. http://dx.doi.org/10.1155/2018/6235379.

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In recent days, vehicles have been equipped with smart devices that offer various multimedia-related applications and services, such as smart driving assistance, traffic congestions, weather forecasting, road safety alarms, and many entertainment and comfort applications. Thus, these smart vehicles produce a large amount of multimedia-related data that require fast and real-time processing. However, due to constrained computing and storage capacities, such huge amounts of multimedia-related data cannot be processed in on-board standalone devices. Thus, multimedia cloud computing (MCC) has emerged as an economical and scalable computing technology that can process multimedia-related data efficiently while providing improved Quality of Service (QoS) to vehicular users from anywhere, at any time and on any device, at reduced costs. However, there are certain challenges, such as fast service response time and resource cost optimization, that can severely affect the performance of the MCC. Therefore, to tackle these issues, in this paper, we propose a dynamic priority-based architecture for the MCC. In the proposed scheme, we divide multimedia processing into four different subphases, while computing resources to each computing server are assigned dynamically, according to the workload, in order to process multimedia tasks according to the multimedia user Quality of Experience (QoE) requirements. The performance of the proposed scheme is evaluated in terms of service response time and resource cost optimization using the CloudSim simulator.

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Zhao, Ziyu. "Study and Design of Scalable Multimedia Service System." Mobile Information Systems 2022 (September 20, 2022): 1–9. http://dx.doi.org/10.1155/2022/3899472.

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In recent years, with the continuous advancement of multimedia technology and network technology, network-based multimedia applications are increasing day by day, both in scale and in the number of users. However, the randomness, time-varying, and complexity of user behavior and network make it impossible to guarantee the service quality (bandwidth, delay, etc.) of multimedia services, thus making it difficult to meet the demands of growing users for multimedia services. While meeting the application requirements, how to design and develop a scalable multimedia service system has become one of the key issues to support good multimedia services and better develop multimedia service services. In addition, the surge in user demand comes with various challenges. High-definition and smooth multimedia services require stable bandwidth. However, the randomness, time-varying, and complexity of user behaviors and network states usually make it difficult to guarantee the quality of services. It is of practical significance to study how to overcome these problems, and it is also a hotspot of current research. This paper mainly discusses the extensibility elements of the multimedia service system and puts forward the relationship between the extensibility of various elements and some design principles of the extensibility. In order to overcome the influence of random variation of the wireless channel on video playback, this paper adopts scalable coding technology. That is, through the analysis of the playback process, the underflow probability is proposed and defined, thereby establishing a constrained optimization problem. Finally, this paper also proposes the multimedia adaptive transmission in the network to do the optimization.

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Feng, Wei Chang. "Optimization Project on Collecting and Integrating Video Resources." Applied Mechanics and Materials 427-429 (September 2013): 2462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2462.

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E-Box multimedia system is developed for the rich audio and video resource on the Internet and on its server side, it can automatically search and integration of network video and audio resources, and send to the client side for the user in real-time broadcast TV viewing, full use of remote control operation, Simply its a very easy to use multimedia system. This article introduces its infrastructure, main technical ideas and you can also see some details about server side and client side. At the same time, the improvement on how to collect and integrate video resources is comprehensively elaborated.

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Wang, Xiao Sheng, and Qian Yu. "Optimizing to Memory Application in Embedded Multimedia Device." Advanced Materials Research 308-310 (August 2011): 2511–16. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.2511.

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The modern embedded multimedia electronic devices rely on dynamically-allocated data structures to store and process their data, as a result, the demand of its memory capacity and dynamic are increasing unceasingly. In order to better solve the memory application optimization in embedded device, this paper represents multimedia application’s dynamic data structures optimization flow and improved or modified NSGA-II multi-objective evolutionary algorithm (MNSGA-II), and uses three objective functions: embedded device’s memory accesses, memory use and energy consumption. The MNSGA-II algorithm adopts repeat crowded distance sorting tactics to improve NSGA-II based on keeping the advantage of the original NSGA-II for multi-objective optimization problem. The experiment results show that MNSGA-II has better performance of the convergence and the diversity of solutions than original NSGA-II, and the optimal dynamic data structure implementation is successful by performing our method for one real embedded multimedia device’s memory application.

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Gao, Ning, Yajun Chen, and Yunxia Bai. "Optimization Design and Implementation of Smart Multimedia College English Classroom Integrating Internet of Things Technology." Wireless Communications and Mobile Computing 2022 (September 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/1695570.

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With the rise of the Internet of Things technology and the improvement of college teaching requirements, more and more schools gradually use multimedia to carry out teaching activities for students. However, in today’s teaching environment, teachers’ teaching activities still do not get rid of the traditional thinking mode, and there is no fundamental change in teaching contents. In this context, the application of smart multimedia college English classroom teaching integrating Internet of Things technology was born. This paper mainly studied the optimization effect of smart multimedia integrated with Internet of Things technology on college English classrooms. The students of Baotou Medical College were taken as the research object; first, carry out information perception and data mining analysis work related to English, and finally, carry out diversified and situational teaching through smart multimedia. The degree of effect of optimization is reflected by the changes in the scores of students with different English abilities before and after. This paper mainly studied the optimization of college English classrooms with smart multimedia integrated with IoT, and the effect of optimization was reflected by the changes in the scores of students in Baotou Medical College before and after the experiment with different English abilities. This paper selected 10 sophomore students in Baotou Medical College and used their final English test scores as the benchmark to make statistics on different ability scores. Then, these students were given smart multimedia English classroom teaching activities, and they were tested on their English scores; a comparative analysis of the performance of different students with different English language skills before and after the test had to be done. The results showed that after 30 days of smart multimedia teaching, the English ability of 10 students has been improved. Among them, the average score of listening comprehension increased by 10.2 points, with the largest increase of 53.7%, and the average score of written expression ability increased by 1.1 points, with the smallest increase of 15.3%. Through a specific analysis of its ability, it was concluded that in terms of listening comprehension ability, the score of student 5 was improved to 13 points, the largest increase was 86%, the score of student 2 was improved to 7 points, and the smallest increase was 28%. In terms of reading comprehension, student 4’s score increased by 9 points, the largest increase was 56%, and the scores of students 2 and 9 were 2 points; the smallest increase was 7%. To sum up, the smart multimedia in the framework of the Internet of Things technology has a positive feedback effect on the optimization of college English classrooms, and different students’ different English abilities have been improved to varying degrees. This provides some guiding suggestions for the subsequent changes in the learning modalities of the undergraduate English classroom.

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Zhao, Chunhua, and Dongyan Jiang. "An Analysis of English Classroom Multimedia Teaching Quality Based on Elite Teaching Optimization Algorithm." Advances in Multimedia 2021 (December 11, 2021): 1–7. http://dx.doi.org/10.1155/2021/4693122.

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As China is increasingly developing towards internationalization, English has become one of the essential skills for foreign communication. In view of the evaluation of music teaching quality, this paper tries to introduce elite teaching optimization algorithm, use multimedia to assist, sort out the factors affecting English teaching quality to build the corresponding indexes, select and optimize the English teaching quality evaluation model, and finally judge the results of English teaching quality. The simulation results show that the elite teaching optimization algorithm is effective and can support the quality analysis of English classroom multimedia teaching.

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Wu, Hongjiao. "Sharing and Cooperation of Improved Cross-Entropy Optimization Algorithm in Telemedicine Multimedia Information Processing." International Journal of Telemedicine and Applications 2023 (March 6, 2023): 1–14. http://dx.doi.org/10.1155/2023/7353489.

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In order to improve the efficiency of medical multimedia information sharing, this paper combines cloud computing technology and SOA (service-oriented architecture) technology to build a medical multimedia information sharing system. Building a medical information sharing platform requires integrating information resources stored in information systems of medical institutions and nonmedical information systems related to medical information and forming a huge resource pool. It is important to mine and analyze the information resources in the resource pool to realize the sharing and interaction of medical information. To this end, this paper proposes a gain-adaptive control algorithm with online adjustable parameters and investigates the extension of the mutual entropy optimization algorithm in the control domain and its integrated processing capability in the process of medical multimedia information processing. In addition, this paper constructs a medical multimedia information sharing and collaboration platform with medical multimedia information sharing and telemedicine as the core and verifies the effectiveness of the platform through experiments. The simulation results and comparison results with other systems prove that the system in this paper can realize fast data processing, retrieve and analyze massive data, and meet the demand of remote intelligent diagnosis under the premise of safety and stability. Meanwhile, the system in this paper can help hospitals achieve fast and accurate diagnosis, which has strong theoretical and practical values.

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Tiglao, Nestor Michael C., and António M. Grilo. "Caching Based Transport Optimization for Wireless Multimedia Sensor Networks." International Journal of Adaptive, Resilient and Autonomic Systems 5, no. 1 (January 2014): 30–48. http://dx.doi.org/10.4018/ijaras.2014010103.

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Traditional transport layer protocols have been designed to perform end-to-end error control transparently to the intermediate nodes (e.g., TCP). To address the severe resource constraints featured by Wireless Sensor Networks (WSN), new paradigms have been developed such as intermediate caching where intermediate nodes are able to cache packets and if possible retransmit them on-demand to avoid incurring costly end-to-end retransmissions. Lately, Wireless Multimedia Sensor Network (WMSN) has been considered as a new research area whereby WSNs are targeted for the delivery of multimedia traffic. In this paper, we propose a NACK-based repair mechanism coupled with an adaptive MAC layer retransmission scheme in order to improve the performance of caching-based WMSN transport protocols. Specifically, our goal is to be able to reduce real-time end-to-end delay while maintaining reliability and energy efficiency in the presence of high channel error rates. Our simulation results show that the ensemble of both mechanisms provides better good put performance while simultaneously improving energy efficiency. Furthermore, the improved protocol also achieves lower deadline miss ratios making it suitable for multimedia transport. While we demonstrate the effectiveness of the mechanisms by incorporating them into the basic Distributed Transport for Sensor Networks (DTSN) protocol, they are generic enough to be applicable to other WSN and WMSN transport protocols.

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Wu, Hongxia. "Multimedia Interaction-Based Computer-Aided Translation Technology in Applied English Teaching." Mobile Information Systems 2021 (April 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/5578476.

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Multimedia interaction-based computer-aided translation (CAT) is an effective method for translating massive multimedia applications. It is an essential English learning tool for college students with majors in multimedia technology. English teachers need to properly guide their students to use CAT technology by improving the students’ English translation capabilities via reasonable setting of courses, selection of multimedia materials for teaching, and implementation of learning multimedia assessment. This paper proposes a semiautomatic evaluation method for a machine translation system based on fuzzy mathematics. It first discusses the characteristics of multimedia CAT software, describes its working principle, and proposes an optimization scheme suitable for translating teaching by analyzing its advantages and disadvantages. The author believes that only through the combination of multimedia interaction-based CAT teaching and traditional translation teaching we can better achieve the purpose of translation education to improve the quality and English-speaking talent.

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Xu, Jiaping. "A Study of Extension Strategies of Multimedia Online Teaching Platform in Sports Teaching of Universities." Journal of Computational and Theoretical Nanoscience 14, no. 1 (January 1, 2017): 94–98. http://dx.doi.org/10.1166/jctn.2017.6131.

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By showing the advantages of multimedia online teaching platform in university sports teaching, the paper tries to summarize and analyze how to help the multimedia online teaching platform break the traditional university sports teaching limitations, how to expand the multimedia online teaching platform into university sports teaching, how to effectively and reasonably integrate resources and information on multimedia online teaching platforms and sports websites to complement each other’s advantages and to break the time and space limitations of the traditional sports teaching by making full use of the share performance of online resources, how to make college students without a multimedia online teaching platform and sports fans learn sports knowledge on multimedia online teaching platform to realize the optimization of teaching resources, and how to provide online guide and help for more college students and sports fans through the effectiveness, interactivity, and display features of multimedia network.

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Zheng, Yao. "Optimization Research of Multimedia Technology Based on Multi-Chromosome Genetic Algorithm in College Music Teaching." Tobacco Regulatory Science 7, no. 5 (September 30, 2021): 1958–65. http://dx.doi.org/10.18001/trs.7.5.116.

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Objectives: In recent years, along with the rapid development of multimedia technology and network technology, such a combination can assist music teaching through the combination of computer platform and multimedia. Methods: In order to improve the level of music teaching in schools, what is needed in the current music teaching environment is to fully understand the teaching methods in the current music classroom. Results: Based on the computer platform multimedia combination assisted music teaching mode research, the current music teaching mode is optimized by genetic algorithm. Conclusion: The results prove that this study is very successful.

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Semuhin, O., and E. Semuhina. "Optimization of Communicative and Educational Potential Using Multimedia Resources in Classes in Legal Disciplines." Scientific Research and Development. Modern Communication Studies 9, no. 3 (May 28, 2020): 72–76. http://dx.doi.org/10.12737/2587-9103-2020-72-76.

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The relevance of this article is dictated by the requirements of time, as it reflects the inclusion of a mechanism for optimizing the communicative and educational potential by means of multimedia resources in the development of legal disciplines in a specialized University. Multimedia technologies have become a feature of modern communication in the context of professional education. It is impossible not to take into account and even more so not to use this factor in the educational process: this is one of the conditions for successful training of a lawyer. One of the ways to optimize the communicative and educational potential of professional education is to use multimedia resources. The article presents ways, techniques and methods of using multimedia resources in classroom classes in legal disciplines, in particular, by the example of teaching the discipline «Administrative law». The authors summarize and analyze the experience of foreign and Russian studies of the concept of thematic potential, updating the meaning of communication and educational, and present their own methodology for optimizing it.

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Yang, Ming, Dajin Wang, and Nikolaos Bourbakis. "Optimization of Power Allocation in Multimedia Wireless Sensor Networks." International Journal of Monitoring and Surveillance Technologies Research 1, no. 1 (January 2013): 56–68. http://dx.doi.org/10.4018/ijmstr.2013010104.

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Wireless Sensor Networks (WSN) have been widely applied in monitoring and surveillance fields in recent years and have dramatically changed the methodologies and technologies in monitoring and surveillance. However, the sensor nodes in WSN have very limited computing resources and power supply, and thus the maximization of network life is a very critical issue. In the newly-emerging Wireless Multimedia Sensor Network (WMSN), the high volume of sensed video data needs to be compressed before transmission. Different video coding schemes have been developed and applied to wireless multimedia sensor networks, and there exists a tradeoff between the power consumption of data compression and that of data transmission. Video compression will reduce the amount of data that needs to be transmitted and thus the amount of power consumed for data transmission; however, too much video compression will consume excessive power which outweighs the power savings on data transmission. Thus, how to reach an optimized balance between compression and transmission and maximize network life becomes a challenging research issue. In this paper, the authors propose mathematical models which describe power consumptions of data compression and transmission of sensor nodes in hexagon-shaped clusters. Under the proposed model, they have achieved the optimized data compression ratio which can minimize the overall power consumption of the whole cluster.

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Wei, Yang. "Application and Optimization of Multimedia in Preparatory Chinese Teaching." Information Technology Journal 12, no. 21 (October 15, 2013): 6502–5. http://dx.doi.org/10.3923/itj.2013.6502.6505.

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Chen, Bin. "On the Application of Multimedia in Aerobics Teaching Optimization." Information Technology Journal 13, no. 2 (January 1, 2014): 294–301. http://dx.doi.org/10.3923/itj.2014.294.301.

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Ma, Fangfang. "Multimedia Urban Road Path Optimization Based on Genetic Algorithm." Computational Intelligence and Neuroscience 2022 (April 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/7898871.

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In order to study multimedia urban road path optimization based on genetic algorithm, a dynamic path optimization based on genetic algorithm is proposed. Firstly, for the current situation of traffic congestion, time constraints are strictly considered based on the traditional hard time window logistics distribution vehicle scheduling problem model. Then, the mathematical model is established, and the optimal solution is solved by the combination of decomposition coordination algorithm and genetic algorithm. We divide multiple customers into different customer groups and determine the service object order of each express car in each customer group, so as to obtain the most valuable scheduling scheme. Finally, in the process of solving the model, the relevant and reliable distribution basis for enterprise distribution is collected, including customer geographical coordinates, demand, delivery time window, unit cost required for loading and unloading, loading and unloading time, and penalty cost to be borne by distribution enterprises after early arrival and late arrival. Using the improved genetic algorithm, the optimal solution of each objective function is actually obtained in about 140 generations, which is faster than that before the improvement. Using the genetic algorithm based on sequence coding, a hybrid genetic algorithm is constructed to solve the model problem. Through the comparative analysis of experimental data, it is known that the algorithm has good performance, is a feasible algorithm to solve the VSP problem with time window, and can quickly obtain the vehicle routing scheduling scheme with reference value.

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Zongda Wu, Chenglang Lu, Zhiwen Hu, and Zhongsheng Cao. "An Optimization Algorithm for Queries with Expensive Multimedia Restrictions." Journal of Convergence Information Technology 7, no. 5 (March 31, 2012): 226–32. http://dx.doi.org/10.4156/jcit.vol7.issue5.28.

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Xia, W. "Cross-layer optimization technology for wireless network multimedia video." Computer Optics 44, no. 4 (August 2020): 582–88. http://dx.doi.org/10.18287/2412-6179-co-620.

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With the development of communication technology, wireless Internet has become more and more popular. The traditional network layered protocols cannot meet the increasingly rich network services, especially video. This paper briefly introduced the cross-layer transmission of video in wireless network and the cross-layer optimization algorithm used for improving video transmission quality and improved the traditional cross-layer algorithm. Then, the two cross-layer algorithms were simulated and analyzed on MATLAB software. The results showed that the packet delivery rate, peak signal to noise ratio and downlink throughput of the improved cross-layer algorithm were significantly higher than those of the traditional cross-layer algorithm under the same signal to interference plus noise ratio of receiving users in wireless network; meanwhile, with the increase of signal to interference plus noise ratio of the receiving user, the packet delivery rate and peak signal to noise ratio of the two algorithms increased, and tended to be stable after some signal to interference plus noise ratio, while the throughput of the two algorithms increased linearly. In the established real wireless network, the package delivery rate, peak signal to noise ratio and throughput of video after application of cross-layer algorithm were significantly improved, and the wireless network applying the improved cross-layer algorithm improved more. In summary, compared with the traditional cross-layer algorithm, the improved cross-layer algorithm can better improve the transmission quality of video in wireless network.

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Wang, Xiaosheng, Qian Yu, Yanhui Guo, and Chunguang Zhou. "Mobile Multimedia Applications Optimization at Dynamic Data Process Level." International Journal of Multimedia and Ubiquitous Engineering 12, no. 2 (February 28, 2017): 161–70. http://dx.doi.org/10.14257/ijmue.2017.12.2.12.

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Lee, Ki-Dong, and Sehun Kim. "Optimization for adaptive bandwidth reservation in wireless multimedia networks." Computer Networks 38, no. 5 (April 2002): 631–43. http://dx.doi.org/10.1016/s1389-1286(01)00276-6.

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Chen, Sixiu, Fumin Shen, Yang Yang, Xing Xu, and Jingkuan Song. "Supervised hashing with adaptive discrete optimization for multimedia retrieval." Neurocomputing 253 (August 2017): 97–103. http://dx.doi.org/10.1016/j.neucom.2016.10.088.

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Ali, Amjad, Muhammad Ahmed, Md Piran, and Doug Suh. "Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks." Sensors 14, no. 8 (August 8, 2014): 14500–14525. http://dx.doi.org/10.3390/s140814500.

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Das, Anup, Amit Kumar Singh, and Akash Kumar. "Execution Trace--Driven Energy-Reliability Optimization for Multimedia MPSoCs." ACM Transactions on Reconfigurable Technology and Systems 8, no. 3 (May 19, 2015): 1–19. http://dx.doi.org/10.1145/2665071.

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Karamat Khan, Tehmina, Asadullah Shah, and Zulkefli Bin Muhammad Yusof. "Performance Optimization of Wireless Sensor network for Multimedia services." International Journal of Engineering & Technology 7, no. 4.15 (October 7, 2018): 323. http://dx.doi.org/10.14419/ijet.v7i4.15.23021.

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WSN multimedia services are currently being used by several types of applications. These services experiences performance related issues in the form of slow data rates, packet loss etc. due to stringent resources. Lots of solutions are contributed to develop a system that optimizes the resources utilization, performance and packet loss. Performance evaluation for enhancing QoS of WSN is also required where packets arrive and depart the service facility (sink) in burst. In this paper, novel analytical approach is developed for packets arrival from sensor node in burst and departure of services after getting the facility, in burst. The evaluation has been performed by shifting coefficient of variance for the time when services are provided in burst and when services are arrived on different scales of utilization of the sink node. At the end of this paper quantitative results are compared after applying priority to data packets to check credibility of proposed solution.

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Wijnants, Maarten, Wim Lamotte, Bart De Vleeschauwer, Filip De Turck, Bart Dhoedt, Piet Demeester, Peter Lambert, et al. "Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding." International Journal of Adaptive, Resilient and Autonomic Systems 1, no. 2 (April 2010): 64–85. http://dx.doi.org/10.4018/jaras.2010040105.

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Accessing multimedia services via fixed and wireless networks has become common practice. These services are typically much more sensitive to packet loss, delay and/or congestion than traditional services. In particular, multimedia data is often time critical and, as a result, network issues are not well tolerated and significantly deteriorate the user’s Quality of Experience (QoE). Therefore, the authors propose a QoE optimization platform that is able to mitigate problems that might occur at any location in the delivery path from service provider to customer. More specifically, the distributed architecture supports overlay routing to circumvent erratic parts of the network core. In addition, it comprises proxy components that realize last mile optimization through automatic bandwidth management and the application of processing on multimedia flows. This paper introduces a trans-coding service for this proxy component which enables the transformation of H.264/AVC video flows to an arbitrary bitrate. Through representative experimental results, the authors illustrate how this addition enhances the QoE optimization capabilities of the proposed platform by allowing the proxy component to compute more flexible and effective bandwidth distributions.

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Journal articles on the topic 'Multimedia Optimization'

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