Multimedia Networks Research Articles

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

Construction of Modularized English Teaching Platform for Multimedia Wireless Network Based on NS2 Simulation Software

Using the NS2 network simulation tool to teach the “wireless network” course can enhance students’ understanding of wireless network protocols through visualization and can also improve students’ ability to analyze problems hands on. We built a multimedia wireless network modularized English teaching platform based on NS2 simulation software; made full use of the rich components and network resources provided by NS2 to achieve a high degree of code reuse and reduce the time for developing simulation codes; designed the overall framework of this multimedia wireless network modular English teaching platform based on the B/S structure; and solved the weight coefficient and importance value of the learning input evaluation index, based on the feedback elite teaching optimization algorithm, the improved teaching formula, the increase in the number of exchanges, and the improvement in the learner’s performance. The experimental results show that the LEACH and LEACH-C protocols of the clustered NS2 simulation software have more surviving nodes most of the time, which indicates that the clustering routing protocol has better performance.

Face Recognition using CNN and Tracking Locations using Image Metadata

In This Paper Face Recognition has gain the more attention in the society of network multimedia for accessing information. Emerging Areas like network security, content indexing and extraction, and video compression benefits from face recognition technic because “people” are the center of attention in a lot of video footages. Face detection is advanced research area in the computer science vision. The research under this area is expanding in others areas like psychology. Localization of human face will be first and the initial stage as a study of face detection. In this paper the usage of Convolutional Neural Network (CNN) algorithm in detecting the criminal face and also the process of getting the location from image.

Optimization Research of Multimedia Technology Based on Multi-Chromosome Genetic Algorithm in College Music Teaching

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.

Research on English Writing Teaching of Tobacco Control Theme Public Welfare in Multimedia Environment

Objectives: On the basis of the statistics offered by World Health Organization annually, there are about 3 million people who die from smoking. Tobacco products have been produced and advertised in a large variety of ways, although the evidence on their safety and smoking cessation benefits is uncertain. So is the electronic cigarette. Active tobacco control measures should be taken. Public service tobacco control advertising plays an important role in tobacco control. In contemporary society, multimedia network technology has been widely used in the education industry, and the combination of internet and education has been increasingly significant. Methods: This inevitability is due to the fact because the traditional teaching method can no longer meet the needs of the education, the combination of internet and education has the inevitability. In this research, we will explore the English teaching method in multimedia environment to build a new ecological system of “artificial intelligence + writing education” in English Writing Teaching of tobacco control theme public welfare in multimedia environment. The field of writing in language education is a major challenge for artificial intelligence, especially writing assessment. In traditional English writing teaching, the emphasis of score evaluation is more common, and the assessment method is relatively simple. Achievement assessment, as an important part of teaching mode, plays an increasingly important role in improving the subjective initiative and ability. In addition to the traditional methods of literature research, questionnaire survey and case analysis, the research method based on design is also adopted to help learners establish effective learning strategies by carrying out reasonable functional design according to learners’ learning needs. Results: This study will have a really important impact on the language learning of Chinese English learners, and provide a new learning environment that will be more convenient and effective for learners. Conclusion: It is a useful attempt for artificial intelligence to spread widely in the field of human knowledge transmission.

Data analysis based dynamic prediction model for public security in internet of multimedia things networks

Data analysis based dynamic prediction model for public security in internet of multimedia things networks

Application of Multimedia Network Teaching Platform in College Physical Education

In this paper, combined with the problems of traditional physical education in Colleges and universities, the application of multimedia network teaching platform in physical education. With the help of this platform, we can realize the organic unity of contemporary teaching and traditional teaching. Combined with the basic concept and historical development of multimedia network teaching, this paper expounds the composition and characteristics of college sports multimedia network teaching, and explores the application of multimedia network teaching in college sports. It is found that the application of multimedia network teaching platform in college physical education can promote the liberalization of College Physical Education and the standardization of physical education examination. Finally, the purpose of strengthening the effect of physical education is achieved.

Construction of network teaching and research course platform based on multimedia and deep learning

Today's online courses are widely used. This is also one of the main ways many people pursue learning. With the rapid advancement of China's education reform, people are no longer satisfied with the traditional classroom teaching. With the emergence of deep learning technology, today's university education and other adult education have begun to change to mixed teaching methods. Building a network teaching and research platform based on multimedia and deep learning is a hot topic today. This paper expounds the current situation of traditional curriculum teaching. Finally, it expounds the construction of multimedia network teaching and research course platform.

Fuzzy self-adaptive prediction method for data transmission congestion of multimedia network

Fuzzy self-adaptive prediction method for data transmission congestion of multimedia network

An improved k-angle coverage algorithm for multimedia wireless sensor networks based on two-layer tabu search

An improved k-angle coverage algorithm for multimedia wireless sensor networks based on two-layer tabu search

A Study on College English Teaching Reform Based on The Integration of Computer Network and Foreign Language Courses

Since stepping into the 21st century, the innovation and development of computer network technology have been eye-catching, which has brought a great impact on the traditional models of all walks of life. In the field of education teaching, the introduction of computer network technology, application and innovation not only upgrade the teaching equipment and facilities, enrich the teaching of various types of network resources, but also changed the traditional English teaching strategy, this paper is to vocabulary learning in college English curriculum as the breakthrough point, through empirical method to research network multimedia form, the relationship between college students and the electronic media, presenting methods of college English teaching content, different mode of teaching and learning of vocabulary learning effect.

Construction of Network Multimedia Teaching Platform System of College Sports

With the development of computer technology and related disciplines, the application of multimedia technology to education is rapidly becoming the mainstream technology of educational technology. This article mainly researches the construction of college sports network multimedia teaching platform system. The physical education management module is the main module in this sports network teaching platform. Therefore, the physical education management module is tested in the testing process. Each module adopts a black box test method. In the system analysis, by dicing, slicing, rotating, and other operations on the data warehouse constructed with the student's performance data, the data are observed from different angles, which is convenient for the teacher to understand the teaching effect. This article adopts the method of grade evaluation to finally determine a number of indicators that are not contradictory and nonrepetitive. The end of a teaching unit or a series of teaching activities must be evaluated at different levels. The biggest difference between process evaluation and summative evaluation is that it not only attaches importance to objective measurement and quantitative analysis but also attaches importance to the subjective judgment and qualitative analysis of both teaching parties, which requires a combination of the two. The test environment of the system is to simulate the real operating environment of the system. A cloud computing service platform is built in the school's central computer room to provide services such as dynamic resource scheduling and dynamic load balancing. There are very few schools that use college sports networks to develop educational functions, only reaching 7.8% of the total number of campus networks. The results show that the multimedia teaching platform greatly promotes the teaching effect of college physical education.

A Secure Internet of Things Smart Home Network: Design and Configuration

Many home IoT devices are joining IoT networks by gaining access to some home gateway that configures smart, multimedia, and home networks. To enable secure IoT-based home networking services, (1) an IoT network should be effectively designed and configured with a IoT server, (2) a messaging protocol is required to exchange information between the IoT server and IoT devices, and (3) the home gateway should monitor all safety aspects in both inbound and outbound traffic of the home network. However, not all home network users put in consideration the need for an adequate security posture. Instead, many users still rely on the minimum home network security by setting an easiest-to-guess password to restrict unauthorized access to their home gateway. In this paper, we propose a network design and configuration that enables secure IoT services with MQTT messaging protocol for home networks. With the proposed network design, a home network is interconnected to external networks through a home gateway. To separate the IoT-subnet from other parts of home network, the home gateway subdivides a home network into an inside-subnet and an IoT-subnet with a private IP address using subnet masking. The IoT server, located in the IoT-subnet can be implemented with either a general HTTP server or a security server that acts as an MQTT broker. The secure communications among network entities are governed by a home gateway operating a well-configured extended access control. The effectiveness of the proposed design and configuration is verified through a simulation by showing that it does not impose any significant performance degradation for reinforced security. We expect the proposed configuration to help facilitate interconnection among heterogeneous network entities.

New trends in high-D vector similarity search

Similarity search is a core operation of many critical applications, involving massive collections of high-dimensional (high-d) objects. Objects can be data series, text, multimedia, graphs, database tables or deep network embeddings. In this tutorial, we revisit the similarity search problem in light of the recent advances in the field and the new big data landscape. We discuss key data science applications that require efficient high-d similarity search, we survey recent approaches and share surprising insights about their strengths and weaknesses, and we discuss open research problems, including the directions of AI-driven, progressive, and distributed high-d similarity search.

Service Oriented Virtual Machine for Maximising Quality of Service in Wireless Networks

A traditional big data network is a wireless multimedia network, as multiple video/audio streaming account for 70 percent of mobile traffic and the fifth generation wireless networks are projected to rise 500 times. However, it does raise various new and transparent challenges for multimedia big data communication over 5G wireless systems because multimedia big data services provide timely, throughput broadcasts through time-sensitive communication networks with restricted wireless resources. In order to address the above issues, we suggest in this paper information-centric virtualization architectures for a statistical latency consistency of content delivery across 5G wireless large media platforms for technology. In particular, three successful nominee strategies to promise the mathematical time limit for interactive large-data communications are implemented in our proposed scheme: information-centered network which extracts an optimum in-network storage location for multimedia big data; a virtualization of the network feature which transforms PHY architecture into many virtualized channels. In our architectures we build the 3 primary computer-generated machine collection besides power distribution plans to collectively simplify the application of NFV and SDN techniques in the ICN architecture: to improve performance for single users, to integrate effective combining capability with equity allocation for all users besides under non-cooperative betting Via models and computational assesses, we prove that our suggested designs and applications greatly perform better other existing systems to enable QoS provisioning with statistical delays over 5G immersive Large Data Wireless communication.

Various Image Processing Attacks for Image Watermarking in the Wavelet Domain Using Singular Value Decomposition and Discrete Cosine Transform

The dispersal of digital media due to the fast evolution of networked multimedia systems has created an essential need for copyright prompting technologies that can protect multimedia objects such as text, images, audio and videos from copyright ownership. This paper proposes digital image watermarking algorithm for copyright protection based on discrete wavelet transform, discrete cosine transform and singular value decomposition. In this method a watermark is embedded into the low frequency sub-band of a host image, after subjecting the watermarked image to various attacks like Gaussian noise, rotation sharpening, noise and pepper salt and speckle noise etc., we extract the originally inserted watermark images from LL sub-band by Truncated singular value decomposition and compare them on the basis of their mean square error, peak signal to noise ratio and normalized correlation values. Experimental results are provided to illustrate that the proposed scheme is the robustness of the technique on wide set of attacks.

Design of Ideological and Political Multimedia Network Teaching Resources Integration System Based on Wireless Network

The main purpose of the integration of network media and middle school ideological and political course is to better realize the moral education function of middle school ideological and political development. The use of resource integration technology to manage distributed teaching resources is conducive to improving the level of information construction in colleges and universities, and so on. This paper puts forward the integration system of ideological and political multimedia network teaching resources based on wireless network. Firstly, it presents an overview of the Radio Resource Management (RRM) problem and projected strategies within wireless network framework, where several Radio Access Technologies (RATs) are collectively controlled and identify the different activities relating to the CRRM issues. Secondly, this paper targets providing a summary of the RRM problem and projected solutions within wireless network. Thirdly, the theoretical elements of the design and the teaching resource management assessment process are clarified by using XML as the data exchange carrier to realize the automatic integration of teaching resources. Fourthly, we have used dSPACE platform, by calling its API function, which then call the subscribe function of dSPACE framework and store the subscription information in the database. Whenever new teaching resources enter the subscribed field, the dSPACE framework will automatically send e-mail to the subscribers. Finally, during the operation of the system, all functions operate normally and have strong security, so as to avoid the illegal theft or leakage of the data about the education system.

Optimization of Embedded Mobile Teaching Model Based on Network Streaming Media Technology

Integrating network technology fully into traditional teaching can realize resource sharing to the greatest extent, so the establishment of distance education and network teaching platform has become the inevitable development of the time. The purpose of this paper is to build an embedded mobile teaching model based on network streaming media technology. The technology application, system composition and structure, realization process, and teaching method of the system are introduced in detail. The system energy consumption, bit rate of video information, and buffer technology were optimized, respectively. In this system, the energy consumption optimization method of mobile streaming media is adopted, and Central Processing Unit (CPU) resources are allocated reasonably according to the principle of maximizing rewards, so as to achieve the purpose of reducing power consumption. The results show that the system can effectively ensure the normal transmission of large multimedia information stream data through the network by using streaming media playback technology, and users can control the teaching process through interactive operation, which makes the network multimedia distance teaching based on streaming media develop in an all-round way and bring advanced teaching mode for education.

Research on construction and innovation new foreign language classroom teaching mode based on the “Internet Plus”

Twenty-first Century is a global information age with rapid development of science and technology, and the information technology represented by multimedia and computer network changes our life and learning mode at extraordinary speed. Nowadays, the quality education is paid attention to by everyone. To further comply with the requirements of the new era curriculum teaching and personnel training, one of the general goals of the “English curriculum standards for senior high schools” promulgated by China in 2003 is to cultivate the “students’ comprehensive use of language skills” and to advocate the basic idea of “concern for students’ emotion”. Relying on the “Internet plus” background, this paper realizes the maintenance of basic data (thesaurus, question bank, article Library) through developing computer assisted foreign language teaching system, and teaching system is mainly to complete the overall design of the teaching system, which not only provides the basic data for the learning and testing of the foreign language assisted teaching system, but also lays a good foundation for the design and realization of the teaching system, and develops the game teaching interface. It has important research value to construct and innovate the new foreign language classroom teaching mode.

Conceiving Inferential Prototypes of MIMO Channel Models via Buckingham’s Similitude Principle for 30+ GHz through THz Spectrum

Facilitating newer bands of ‘unused’ segments (windows) of RF spectrum falling in the mm-wave range (above 30+ GHz) and seeking usable stretches across unallocated THz spectrum, could viably be considered for Multiple Input Multiple Output (MIMO) communications. This could accommodate the growing needs of multigigabit 3G/4G applications in outdoor-based backhauls in picocellular networks and in indoor-specific multimedia networking. However, in contrast with cellular and Wi-Fi, wireless systems supporting sub-mm wavelength transreceive communications in the outdoor electromagnetic (EM) ambient could face “drastically different propagation geometry”; also, in indoor contexts, envisaging pertinent spatial-multiplexing with directional, MIMO links could pose grossly diverse propagation geometry across a number of multipaths; as such, channel-models based on stochastic features of diverse MIMO-specific links in the desired test spectrum of mm-wave/THz band are sparsely known and almost non-existent. To alleviate this niche, a method is proposed here to infer sub-mm band MIMO channel-models (termed as “prototypes”) by judiciously sharing “similarity” of details available already pertinent to traditional “models” of lower-side EM spectrum, (namely, VLF through micro-/mm-wave). Relevant method proposed here relies on the “principle of similitude” due to Edgar Buckingham. Exemplar set of “model-to-(inferential)-prototype” transformations are derived and prescribed for an exhaustive set of fading channel models as well as, towards estimating path-loss of various channel statistics in the high-end test spectrum.