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Vehicular Ad Hoc Networks (VANETs) are becoming important with the advancement of connected technologies, yet they grapple with the pivotal challenge of ensuring quality of service (QoS) and quality of experience (QoE). This stems from the inherently erratic nature and huge data volumes. While reliability and efficiency remain paramount, the need to address QoS and QoE emerges as a critical motivation. Most current algorithms that address streaming data fall short in terms of QoS performance metrics. Thus this work strives to improve upon QoS metrics and further improve QoE. Our proposed method uses deep learning to address these problems in a realistic software-defined vehicular network (SDVN) based on the QoS and QoE. Our research aims to combine SDVN with a recurrent neural network (RNN) in Ryu SDVN controller. The RNN model encompasses a sophisticated architecture comprising multiple layers of recurrent units designed to capture temporal dependencies in data. Through a meticulously crafted training methodology utilizing techniques such as backpropagation through time, it learns to predict future network states based on historical data. Fine-tuning hyperparameters such as the number of epochs and the batch size enables optimal model convergence. We examine this method in a realistic simulation and compare its effectiveness with conventional approaches. The results show significant gains, i.e., marginal to 28% better than the nearest rival and far better than VANET. We also evaluate the network's resilience by varying transmission rate and packet size. Our method functions well in high-density situations, suggesting that real-world deployments can benefit from it. [ABSTRACT FROM AUTHOR]

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In order to adapt to the development of teaching informatization and meet the needs of students, teachers and parents, it is necessary to strengthen the active participation of students and integrate various curriculum resources, and improve teaching quality and the modes. Comprehensive multimedia software should be produced, including audiovisual and other sensory experiences. This is a concentrated expression of media diversity and networking, which not only breaks the traditional single-source education model, but also improves students' interest and enthusiasm for learning. As a new teaching tool, multimedia teaching uses the latest computer, multimedia and network technologies to make the presentation of teaching materials more dynamic. This is because it can break through the constraints of time and space and show a high degree of flexibility and interactivity. However, most multimedia teaching and learning in China are faced with problems such as poor interactivity, insufficient programming, product personalization, intellectual property rights and insufficient knowledge of software automation. Therefore, this paper designed the multimedia teaching system from the perspective of psychology through human-computer interaction, so as to improve the teaching quality and promote the diversified development of teaching. The results showed that the multimedia teaching improved by about 9% compared with the traditional model, and the students' learning effect also improved by about 11% compared with the traditional model. [ABSTRACT FROM AUTHOR]

The article reveals the importance of podcasting; the most effective tasks for the formation of students' language competencies through the use of innovative technologies are singled out; the necessary preconceptions and main linguistic didactic tasks were identified for assimilation of knowledge and formation of linguistic competencies of students, the solution of which contributes to the introduction of information technologies of education into professional activity. The purpose of the study is to develop students' language competencies through the use of innovative technologies. The methodological foundations of the research are leading propositions of the theory of scientific knowledge; general scientific principles of historicism, systematicity, and scientificity; conceptual provisions of pedagogical, psychological, and sociological sciences; and ideas of the development of modern education. The results of the article show the role of the graphical interface in the formation of language competencies of higher education students; the essence and principles are revealed; the need to introduce STEM technologies, gamification, and virtual whiteboards into the educational process is emphasized. Summarizing the results of the experimental study made it possible to conclude the effectiveness of the developed system of forming students' language competencies through the use of innovative technologies. [ABSTRACT FROM AUTHOR]

Background: Being digitally literate allows health-based science students to access reliable, up-to-date information efficiently and expands the capacity for continuous learning. Digital literacy facilitates effective communication and collaboration among other healthcare providers. It helps to navigate the ethical implications of using digital technologies and aids the use of digital tools in managing healthcare processes. Our aim in this study is to determine the digital literacy level and awareness of our students receiving health-based education in our university and to pave the way for supporting the current curriculum with courses on digital literacy when necessary. Method: Students from Acibadem University who were registered undergraduate education for at least four years of health-based education, School of Medicine, Nutrition and Dietetics, Nursing, Physiotherapy and Rehabilitation, Psychology, Biomedical Engineering, Molecular Biology, and Genetics were included. The questionnaire consisted of 24 queries evaluating digital literacy in 7 fields: software and multimedia, hardware and technical problem solving, network and communication/collaboration, ethics, security, artificial intelligence (A.I.), and interest/knowledge. Two student groups representing all departments were invited for interviews according to the Delphi method. Results: The survey was completed by 476 students. Female students had less computer knowledge and previous coding education. Spearman correlation test showed that there were weak positive correlations between the years and the "software and multimedia," "ethics," "interest and knowledge" domains, and the average score. The students from Nursing scored lowest in the query after those from the Nutrition and Dietetics department. The highest scores were obtained by Biomedical Engineering students, followed by the School of Medicine. Participants scored the highest in "network" and "A.I." and lowest in "interest-knowledge" domains. Conclusion: It is necessary to define the level of computer skills who start health-based education and shape the curriculum by determining which domains are weak. Creating an educational environment that fosters females' digital knowledge is recommended. Elective courses across faculties may be offered to enable students to progress and discuss various digital literacy topics. The extent to which students benefit from the digital literacy-supported curriculum may be evaluated. Thus, health-based university students are encouraged to acquire the computer skills required by today's clinical settings. Registration: This study was approved by Acıbadem University and Acıbadem Healthcare Institutions Medical Research Ethics Committee (ATADEK) (11 November 2022, ATADEK registration: 2022-17-138) All methods were carried out in accordance with relevant guidelines and regulations. Informed consent was obtained from the participants. [ABSTRACT FROM AUTHOR]

A qualitative documentary research of software and multimedia artificial intelligences was chosen to enable the ontological understanding of the object of study that aims to explore the potential for learning through Artificial Intelligence (AI). Besides, it is shown how AI, as a novel component within the digital education landscape, contributes to educational technological capital. In light of our research area, the focus is on determining how AI can be harnessed to enhance the development of communicative competence. This entails identifying and categorizing AI tools relevant to language didactics. The sample size for this study is 120 AI applications, sourcing and compiling data on AI tools from specialized websites. This sample serves as a paradigm justifying a mixed-method study capable of combining quantitative and qualitative data. The variables supporting this study consider four characteristics related to the specific typify of the digital tool in the pedagogical context. The first aspect pertains to the classification of generative AI tools with potential educational use. AI tools enriches and enhances the dimensions of learning underscoring the urgent need for literacy in this technology. The second variable was linked to the Pedagogical Competences of Teachers and the areas. The category in language education pertains to educators' ability to create, adapt, and employ digital resources that enhance language teaching and learning. The third and fourth identify the skills related to language learning. In the context of learning environments with AI tools, it is essential to contemplate the role of linguistic competence as subordinate to communicative competence. [ABSTRACT FROM AUTHOR]

Creative music skills promote much more divergent thinking perceived as a key element of creativity. The current research examines how music-making software enhances creative thinking skills in music. The research discusses the impact of music-making multimedia software on creative thinking development while creating musical pieces of a variety of genres. The sample included 300 participants of the 3d year of study from three high educational establishments of China. The data were analysed using quantitative and statistical analyses, and the research method used to assess the results of pre-test and post-test for Measurement of Creative Thinking in Music (MCTM). The average value of the post-test found improvements in terms of four music parameters: musical length (ML) was improved by 66% and 66.5%, while musical flexibility (MF) by 41.6% and 36.2%. Musical originality (MO) was improved by 48.3% and 37.9%, musical syntax (MS) by 46.7% and 41.3%, respectively. The correlations of MCTM parameters were significant and it confirmed the positive effect of using multimedia software on the development of creative thinking in music. The findings can help educators to develop an effective framework for teaching music and enriching creative skills in students with music-making software. The research significance is that the results can help to improve creative thinking in high educational establishments. [ABSTRACT FROM AUTHOR]

The peculiarities of the training of specialists in higher education using multimedia technologies are clarified and their importance and necessity for modern education are shown. Based on the recorded didactic and technical pedagogical capabilities of multimedia, we will identify potential functions that can be differentially implemented in the educational space. Manipulation, deformation, contamination, toning of images, discrete presentation of audiovisual information is considered; fixation of a selected part of visual information for movement, its further examination "under a magnifying glass", demonstration of processes and events in the real-time, multi-window presentation of audiovisual information, which intensify the educational process and strengthen the motivational effect in the educational field. Research and experimental work were carried out, which made it possible to find out the peculiarities of the training of specialists in higher education using multimedia technologies and to prove their importance and necessity for modern education. We have reasonably identified the stages that are important for the educational space for the qualitative application of knowledge and skills in the training of specialists; advantages of the introduction of multimedia technologies; various aspects of the use of computer software multimedia tools in the process of professional training of a specialist are named. [ABSTRACT FROM AUTHOR]

With the increasing maturity and widespread application of computer multimedia technology, many universities have attempted to use multimedia technology for English teaching in order to solve some of the difficulties and contradictions faced in current college English teaching practices. Practice has proven that multimedia teaching of college English not only increases the amount of information in classroom teaching, but also improves the effectiveness of classroom teaching. At the same time, due to deviations in understanding, lack of conditions, and improper operation in work, the normal functioning of multimedia teaching is also restricted, which affects the effectiveness of multimedia teaching in college English. How to carry out multimedia teaching of college English is indeed an important topic that needs further research. The fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and GRA method has been used to cope with MADM issues. The double-valued neutrosophic sets (DVNSs) are used as a tool for characterizing uncertain information during the fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English. In this manuscript, the double-valued neutrosophic number Exponential TODIM-GRA (DVNN-ExpTODIM-GRA) method is built to solve the MADM under DVNSs. In the end, a numerical case study for fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English is given to validate the proposed method. [ABSTRACT FROM AUTHOR]

Image is one of the most important forms of information expression in multimedia. It is the key factor to determine the visual effect of multimedia software. As an image restoration task, image deraining can effectively restore the original information of the image, which is conducive to the downstream task. In recent years, with the development of deep learning technology, CNN and Transformer structures have shone brightly in computer vision. In this paper, we summarize the key to success of these structures in the past, and on this basis, we introduce the concept of a layer aggregation mechanism to describe how to reuse the information of the previous layer to better extract the features of the current layer. Based on this layer aggregation mechanism, we build the rain removal network called DenseformerNet. Our network strengthens feature promotion and encourages feature reuse, allowing better information and gradient flow. Through a large number of experiments, we prove that our model is efficient and effective, and expect to bring some illumination to the future rain removal network. [ABSTRACT FROM AUTHOR]

Copyright of Revista Iberoamericana de la Educación is the property of Instituto Corporativo Edwards Deming and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A museum is the destination of the crystallization of history and culture, and a museum is the center for the development of heritage culture. The display and exhibition of historical relics can promote the harmonious development of society. However, there are many defects in traditional museums. The collection in the museum is scattered. The exhibition needs a specific time and place to open, and the exhibition mode is boring and lacks entertainment, which seriously limits the museum's dissemination of history and culture. In order to improve the public's number of visits, museums need to keep pace with the times. Using augmented reality technology can digitize the information in the museum and integrate it with the user's real environment, which solves the limitation of time and space for most users to visit the museum, and greatly increases the entertainment of users to visit the museum. In addition, the application of blockchain technology in digital museums can effectively ensure the security of museum cultural relics data and quickly restore the lost cultural relics information. The digital museum can help tourists realize cross-region viewing. Through multimedia software and hardware, it can greatly stimulate tourists' interest and attract tourists of different ages to visit. This article uses digital technology to present physical museums in a digital form on the network, but it is difficult for digital museums to conduct targeted analysis on tourists of different ages. This article will analyze the attraction ability of digital museums to tourists of different ages, thereby attracting tourists of different ages to visit. This paper compared traditional museums with digital museums based on augmented reality technology and blockchain technology. The experimental results showed that from the perspective of young people, the average interactivity of traditional museums and digital museums was 47.20% and 78.20%, respectively; from the perspective of the elderly, the average interactivity of traditional museums and digital museums was 59.04% and 70.36%, respectively. Therefore, the digital museum built by using augmented reality technology and blockchain technology can effectively improve the interaction with users. The digital museum can improve the interaction with tourists of different ages, attract a large number of tourists for virtual visits, and improve the cultural transmission and economic development of the digital museum. [ABSTRACT FROM AUTHOR]

As Chinese college students work toward writing proficiency in English, a tension between direct, teacher-led instruction that focuses on proper usage conflicts with changes in literacy practices enabled by technology. As a visiting scholar to an American university, Author 1 was eager to use strategies she saw in Author 2’s first year writing seminar. In this classroom research project, a mixed method design is used by Author 1 to report on three changes to her teaching practices in College English courses – the use of multimedia presentation software, social network communication, and the Pigaiwang writing assistance tool. By comparing survey results, interview themes, and test scores between control and experimental sections, results demonstrate that students in the experimental group had generally more favorable ratings of the College English experience. Based on these outcomes in a limited study, implications for future changes in College English instruction in China are discussed. [ABSTRACT FROM AUTHOR]

Search-based software engineering (SBSE) is an emerging research sub-area in the field of software engineering. The concept of SBSE is based on the idea of formulation of software engineering problem as a search-based optimization problem and effective exploitation of metaheuristic search optimizers to solve it. The complex nature of software engineering problems and complex computational behaviour of the metaheuristic search algorithms makes the SBSE approaches challenging to understand and analyze. A variety of multimedia technologies are generally used to make the problem formulation and their computational method more understandable and analyzable. Even after wide application of multimedia in science and engineering, the SBSE got little attention in this direction. To explore and exploit the potential of the multimedia in the SBSE, this work first conducted a research study on the current trends of multimedia in SBSE, then based on this study, the various challenges and opportunities are presented. More specifically, our work mainly focusses on current multimedia trends in various forms of SBSE approaches (e.g., single, multi, and many-objective SBSE). Apart from that, we also explore the various opportunities and challenges in SBSE from the perspective of visualization of software artefacts, software quality metrics, problem formulation, search trajectory, Pareto optimal set and front. [ABSTRACT FROM AUTHOR]

Software maintenance is a necessary and frequently occurring activity in software engineering. However, different factors such as inadequate documentation, project size, complex dependencies, and hard to understand architecture cause software maintenance to consume a large part of project resources. Therefore, it is important to assist the newcomers by providing program comprehension facilities that can reveal important information about the software system and can speed up the maintenance tasks. This important information about software includes knowledge about the core part (classes, components, design, etc.) of the system that mainly controls its whole functionality. In literature, different researches attempted to determine core part of the software using various structural, dynamic, and network metrics and termed them as key or critical classes. These approaches have an open scope for modeling coupling relations among different elements of software and most of these approaches need human expertise to identify key classes of the software. Moreover, multimedia software systems are generally interface driven and thus many micro level classes collectively constitute macro level units called as multimedia components. Therefore, this paper focuses to identify key critical units of the multimedia software at component level. The proposed approach in this paper consists of three main phases. In the first phase, different features of a class are identified and assigned a coupling based functional score that represents its significance in the overall functionality of the class. In the second phase, different independent components present in the multimedia software are identified by modeling the system as a dependency graph at the class level. Finally, key critical components of the multimedia software are identified by performing hierarchical agglomerative clustering based on the dependency strength among different identified components. The proposed approach is empirically evaluated on open-source multimedia software of different sizes and the obtained results support the feasibility and usability of the proposed approach of this paper. [ABSTRACT FROM AUTHOR]

With the continuous development of social software and multimedia technology, images have become a kind of important carrier for spreading information and socializing. How to evaluate an image comprehensively has become the focus of recent researches. The traditional image aesthetic assessment methods often adopt single numerical overall assessment scores, which has certain subjectivity and can no longer meet the higher aesthetic requirements. In this article, we construct an new image attribute dataset called aesthetic mixed dataset with attributes (AMD-A) and design external attribute features for fusion. Besides, we propose an efficient method for image aesthetic attribute assessment on mixed multi-attribute dataset and construct a multitasking network architecture by using the EfficientNet-B0 as the backbone network. Our model can achieve aesthetic classification, overall scoring, and attribute scoring. In each sub-network, we improve the feature extraction through ECA channel attention module. As for the final overall scoring, we adopt the idea of the teacher-student network and use the classification sub-network to guide the aesthetic overall finegrain regression. Experimental results, using the MindSpore, show that our proposed method can effectively improve the performance of the aesthetic overall and attribute assessment. [ABSTRACT FROM AUTHOR]

In recent years, with the improvement of economic level, music art has become a major focus of extracurricular teaching. Students of all ages are included. However, the high cost of piano teaching and the unique one-to-one teaching method of teachers and students lead to the lack of piano education resources. Learning piano has become a luxury activity. Therefore, using computer multimedia software to teach piano has become a feasible way to alleviate the current contradiction. For piano teaching, the main difficulties are the differences between teachers and students (i.e., the data change at both ends due to the network), the instability of the network system, and the neural network algorithm can solve these difficulties. Based on this point, this work aims to introduce neural network algorithm into piano teaching intelligent system. This paper first introduces the theoretical basis of the neural network algorithm, then expounds the algorithm flow and general framework of the algorithm in speech recognition, and explains the split explanation in combination with five aspects: preprocessing, character extraction, acoustic model, linguistic model, and decoding. Then, it introduces the system design of intelligent piano teaching and describes the general system requirements and product architecture. Finally, the intelligent piano teaching system is tested and applied to prove the effectiveness of the system. I hope this intelligent piano teaching system can provide more convenience for piano teaching. [ABSTRACT FROM AUTHOR]

With the development of multimedia related technologies, smart education has entered a new stage. With the support of multimedia computer network education, education is no longer traditional school education, network education can be carried out through smart devices, and knowledge innovation and dissemination can be achieved through the huge teaching resources of the multimedia and the Internet. By investigating the application of multimedia computer network education in smarter course teaching, this paper analyzes the students' recognition of the use of multimedia tools for smarter course teaching in smarter course teaching activities, students' participation in smarter course learning activities under multimedia computer network education, and students' learning effects to prove that multimedia technology is conducive to the improvement of students' learning quality. [ABSTRACT FROM AUTHOR]

With the expansion of the scale and complexity of multimedia software, the detection of software defects has become a research hotspot. Because of the large scale of the existing software code, the efficiency and accuracy of the existing software defect detection algorithms are relatively low. We propose an intelligent memory leak detection scheme MLD based on defect modes in software. Based on the analysis of existing memory leak defect modes, we summarize memory operation behaviors (allocation, release and transfer) and present a state machine model. We employ a fuzzy matching algorithm based on regular expression to determine the memory operation behaviors and then analyze the change in the state machine to assess the vulnerability in the source code. To improve the efficiency of detection and solve the problem of repeated detection at the function call point, we propose a function summary method for memory operation behaviors. The experimental results demonstrate that the method we proposed has high detection speed and accuracy. The algorithm we proposed can identify the defects of the software, reduce the risk of being attacked to ensure safe operation. [ABSTRACT FROM AUTHOR]

The Covid-19 outbreak has affected several aspects of field-based learning. The best way to ensure the survival and safety of everyone involved in field-based learning is to adapt and integrate technology. In response to this problem, numerous innovations in learning technology that lead to the virtualization of the learning environment have begun to emerge. However, the various application products developed have fallen short of the expectations of students. As a result, in order to design the optimal virtual application for use in fieldbased learning, a needs analysis must be done. This study offers an understanding of student needs for virtual field-based learning applications. An online survey of 140 active university students was carried out to do so. The results showed that students require applications with sophisticated features that resemble the real world for the implementation of online field-based learning. They expect the incorporation of online meeting features, 360 Virtual Reality Panorama, access to learning videos, augmented reality, learning materials, chatbox, and multimedia into the software that will be developed. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Association of Arab Universities for Higher Education Research is the property of Journal of the Association of Arab Universities for Higher Education Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of "Ode to Joy," which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5). [ABSTRACT FROM AUTHOR]

3D mesh subdivision is essential for geometry modeling of complex surfaces, which benefits many important applications in the fields of multimedia such as computer animation. However, in the ordinary adaptive subdivision, with the deepening of the subdivision level, the benefits gained from the improvement of smoothness cannot keep pace with the cost caused by the incremental number of faces. To mitigate the gap between the smoothness and the number of faces, this paper devises a novel improved mesh subdivision method to coordinate the smoothness and the number of faces in a harmonious way. First, this paper introduces a variable threshold, rather than a constant threshold used in existing adaptive subdivision methods, to reduce the number of redundant faces while keeping the smoothness in each subdivision iteration. Second, to achieve the above goal, a new crack-solving method is developed to remove the cracks by refining the adjacent faces of the subdivided area. Third, as a result, the problem of coordinating the smoothness and the number of faces can be formulated as a multi-objective optimization problem, in which the possible threshold sequences constitute the solution space. Finally, the Non-dominated sorting genetic algorithm II (NSGA-II) is improved to efficiently search the Pareto frontier. Extensive experiments demonstrate that the proposed method consistently outperforms existing mesh subdivision methods in different settings. [ABSTRACT FROM AUTHOR]

Multimedia is the combination of media such as text, graphics, video clips, and audio files. In today's world, multimedia plays an important role in many applications that we use in our daily lives. It is used in educational software, animation, sound, and text, as well as multi-media software. H.264/AVC video compression is extremely efficient in terms of compression. Despite this, H.264/AVC requires a lot of processing and consumes a lot of power insdespite of the fact that its compression efficiency is lower than that of H.264/AVC. We examine the various methods of Video H.264 Advanced Video Compression Standard Encryption Schemes in this paper. The performance of all types of encryption techniques will be evaluated using parameters such as cost overhead, delay, and encryption quality. This will provide us with a detailed comparative analysis of video encryption schemes, allowing us to determine which one is far more efficient for H.264/AVC. [ABSTRACT FROM AUTHOR]

The article considers the use of such type of multimedia as a presentation in teaching foreign languages to students of economic specialties. The authors analyze the content of the latest multimedia technologies of foreign language learning using multimedia presentations. Modern pedagogical innovations are based on the principles of democratization, humanization, personal orientation, consciousness, amateurism and creative activity in learning. It is necessary to look for more modern tools and methods of teaching in order to successfully develop cognitive processes in educational activities. The use of computer information technology in education is one of the most important and sustainable trends in the world of educational process. Information technology of learning is a process of preparation and transfer of information to the student. A multimedia presentation is an opportunity to develop fluency in English without the pressure of speaking live in front of an audience for students who lack confidence or language skills. The fear of errors can be eliminated, allowing students to focus on content, intonation, and organization. [ABSTRACT FROM AUTHOR]

This study reports the development of the interactive electronic multimedia "Inquiry Play-Room" for use in rotation and equilibrium topics. This was designed following the steps of a guided inquiry laboratory model, containing video problems, feedback, virtual laboratories, student worksheets, animations, practical applications, and quizzes. The tests are offered at two levels, one to grasp the concept and the second to be incorporated into actual life. This difference in learning can spur student confidence that will allow them to concentrate. The teacher can also enhance the content quality and patterns of movement through classes and online learning, as this technology is designed for face-to-face use. This interactive media is developed using the SWiSHMax framework and the ActionScript 2.0 programming language. The architecture of this media production model follows these steps: 1) analysis, 2) design, 3) development, 4) implementation, and 5) evaluation. At a 90.3 percent positive rate, the expert testing results indicate feasibility. The results of 27 students showed that the students responded positively to multimedia design. Therefore, the use of interactive multimedia was shown to be possible. The results of this study open avenues for digital creation in other fields of physics. [ABSTRACT FROM AUTHOR]

In recent years, information leakage incidents occur frequently. Ciphertext domain search has become a hot spot in multimedia technology and software engineering. Therefore, how to mine valuable information safely and effectively is very important. In this paper, we present the CBIR solution and complete the relevant software development. The proposed method not only outsources CBIR services but also avoids privacy leaks. Our main contributions are reflected in two aspects: improving search efficiency and protecting user privacy. For one thing, we propose a novel privacy protection algorithm to encrypt images. For the other thing, we propose an integrated deep hash algorithm to extract the high-level features of images. In the index encryption process, we use secure kNN to encrypt the index. Through experimental analysis and argumentation, the proposed privacy protection algorithm has a lower correlation coefficient and a better information entropy. It is secure enough and can resist common types of attacks encountered during data transmission. The proposed secure image retrieval algorithm is tested on two datasets. Compared with the same type of algorithm, the proposed algorithm has better retrieval performance. In short, the privacy reservation scheme guarantees the security and effectiveness of the system. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Copyright of Hacettepe University Journal of Education is the property of Hacettepe University Journal of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Multimedia software programs have been developed and empirically validated for teaching secondary students with learning disabilities new skills and strategies. Some of them can be appropriately put into practice in general education classes in which diverse groups of students are enrolled. One of them, the Commas Strategies Program (Schumaker & Sheldon, 2009), is featured in this article. Because comma skills are specified in national and state standards, all students are required to learn them. The Commas Strategies Program can be used to ensure that all students learn these skills. This article describes the previous research associated with the program and the components of the program. It also describes the features of the program that were specifically designed to ensure that diverse classes of students will learn from it. Further, it describes procedures teachers can follow to put the program into practice and ensure student learning. Enrichment activities that can also be used associated with the software program are suggested. [ABSTRACT FROM AUTHOR]

Copyright of ASEAN Journal of Teaching & Learning in Higher Education is the property of ASEAN Journal of Teaching & Learning in Higher Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Quality of service (QoS) is the overall performance of a computer network, which not support or guaranteed well with the current Internet technology. It is hard to track, locate, and recognize the reason of a QoS violation in volatile situations. Even though this issue is solved, other issues may rise, such as the Internet service providers not willing to open their management interfaces. Besides, not all Internet hardware can support QoS controlling. End-to-end QoS controlling is an effective way to overcome these issues. The existing end-to-end QoS solutions have a problem that they analyze and exploit the relationships between the QoS metrics and contexts in an isolated way. This paper proposes a novel comprehensively context-aware approach to exploit these relationships based on the Bayesian networks and fuzzy set. This approach divides into three processes: context discretization, context and QoS metric mapping, and QoS quantitative guarantee. We validate the effectiveness of the proposed approach in our real multimedia software system and compare the performance of our approach with other existing bandwidth-aware and playback-buffer-aware schemes. The experimental results demonstrate that the proposed approach performs better than existing solutions in improving the video Peak Signal-to-Noise Ratio. [ABSTRACT FROM AUTHOR]

In recent years, with application of optimization technology and computer technology in the field of optimal design, it has become an essential course for mechanical students. How to effectively apply multimedia optimal methods to the optimal design course is the problem that we need to solve. The teaching mode of optimal design course is explored by multimedia software simulation analysis. The existing problems in the teaching of optimal design are introduced in this dissertation. And the case of the optimal design teaching according to the teaching method of multimedia software is realized. The finite element analysis of reducer and the application of genetic algorithm in it, for example, emphasize how multimedia simulation can be effectively applied to optimal design. We take the gear reducer as a case to carry out the modal analysis and gear meshing analysis and optimize its structure by using genetic algorithm. Making full use of multimedia software, combined with the course knowledge points and simulation software to cultivate the actual design and application capabilities, paying attention to the acquisition of optimization design methods, could improve the quality of optimization design personnel training. The results show that integrating multimedia simulation into optimization design teaching could be a good way to improve the practice of teaching and to promote knowledge learning and optimal design capabilities. It has a great significance for the development and application of optimal design based on multimedia. [ABSTRACT FROM AUTHOR]

Segmentation involves separating an object from the background in a given image. Image segmentation has a variety of applications and has received considerable attention in multimedia application and computer vision. Although numerous approaches have been introduced, image segmentation is still far from being solved due to most of image segmentation algorithms are often so complicated and some unsatisfactory results appear frequently. Therefore, developing a suitable technique of image segmentation is still a challenging problem. In this article, a novel color image segmentation will be introduced based on quaternion radial harmonic Fourier moments (QRHFMs) and proximal classifier. Firstly, the image feature of pixel-level is represented by the accurate and invariant QRHFMs holistically as a vector field, which can describe sufficiently the image pixel information due to take into account the relationship among different color channels. Secondly, the image feature from pixel-level is utilized as the input of the proximal classifier with consistency (PCC), which not only has lower computation time but also has better generalization compared to traditional support vector machines classifiers. Then, we choose the training samples by Tsallis entropy thresholding to train PCC classification model. Finally, the color image is classified by the trained PCC classification model. Our algorithm can make full use of the accurate and robust local image feature, as well the quickness and generalization ability of PCC classifier. A series of experimental results shows that this algorithm has better segmentation performance than the state-of-the-art method from the literature. [ABSTRACT FROM AUTHOR]

Revision control is a vital component in the collaborative development of artifacts such as software code and multimedia. While revision control has been widely deployed for text files, very few attempts to control the versioning of binary files can be found in the literature. This can be inconvenient for multimedia applications that use a significant amount of binary data, such as images, videos, meshes, and animations. Existing strategies such as storing whole files for individual revisions or simple binary deltas, respectively consume significant storage and complex semantic information. To overcome these limitations, in this paper we present RECODE, a revision control system for digital images. It stores revisions in the form of a DAG (directed acyclic graph) where nodes represent editing operations, and edges describe the spatial and temporal relationships between operations. Being integrated with GitHub, the largest project hosting platform, RECODE also facilitates the artistic creation process of distributed teams with different workflows that include image editing and digital painting. A preliminary user study was performed to assess the perceived usability of the proposed system. [ABSTRACT FROM AUTHOR]

Most universities students depend on the use of proprietary software as it has prominent capabilities to meet their needs. Although the proprietary software such as Adobe Flash Professional has a high capability to create a web-based multimedia system, budget constraints become the main reason why free software will be used as an alternative to proprietary software. This study is carried out to evaluate the potential free software for developing a web-based multimedia in cartography projects specifically for students in developing countries. Wix and Weebly are the two software that has been potentially explored among the ten selected software in the market. The current commercial software (Adobe Flash Professional) was also applied as a benchmark to the selected free software. This three software were individually utilised to design and develop a web-based multimedia of e-sport system and their technical capabilities were comparatively assessed according to elements of a common multimedia, website and other mapping assessment aspects. The finding showed that each of the software has unique characteristics and has successfully generated the end products according to the standard web-based multimedia title. Although these free software could produce a better looking, more flexible and time saving mapping platform than the end product created from the Adobe Flash Professional, they have limitation in creating menu function. This exploratory and cases study has also demonstrated that the alternative free software has potentials to replace the current proprietary software, while Wix is the best among the two selected software. [ABSTRACT FROM AUTHOR]

An interactive multimedia software program was developed for teaching punctuation strategies and then tested with middle‐school and high‐school students with learning disabilities. Students at each school level were randomly selected into an experimental or control group. Results showed that experimental students at both school levels performed similarly by earning significantly higher scores on a test of punctuation usage than the control students. Additionally, experimental students in both school cohorts inserted significantly fewer incorrect punctuation marks than the controls. Furthermore, the experimental students generalized their use of the strategies to a test where they wrote their own sentences. Thus, this study shows that students with LD can learn punctuation strategies at a high level of mastery and can generalize their skills to sentence editing and sentence construction tasks when taught through interactive multimedia. [ABSTRACT FROM AUTHOR]

Background: A multimedia software designed as a Computer-Assisted Scaffolding system was used to teach gas behavior on the submicroscopic level using Physics Education Technology Project (PhET) simulation. PhET is a set of interactive, research-based science and mathematics online simulations (). Purpose: The purpose was to investigate secondary school students' perceptions of the simulation-based learning system and how it supported their cognitive processing of chemistry target concepts. Identifying its most (and least) helpful features and instructional strategies was also an objective of this study. Simulation-based learning system description: The Computer-Assisted Scaffolding system combined with the PhET simulation (Program) were meant to facilitate learners' conceptual understanding of gas behavior on the submicroscopic level, which would serve as a foundation for learning gas laws on the macroscopic and symbolic level. Chemistry target concepts included causes for gas pressure, relationship between gas pressure and volume/temperature changes, and relationship between gas pressure and the number of particles. Sample: One hundred and fourteen secondary school students participated in this study as part of their science curriculum. Design and methods: Data on the students' perceptions of the overall learning experience and specific Program features were collected and analyzed. Students responded to three open-ended questions and provided ratings of the Program features, such as pop-up explanations, images, model explorations, guiding questions, diagrams and feedback. They used a paper-based survey that was administered during the last 8 min of class. Results: The results provide preliminary evidence of the benefits of this approach in chemistry education. For instance, the changing variables in the simulation helped students understand gas behavior, the multiple images and working with the simulation lab helped students visualize gas behavior, and the design of the system made it easy for students to understand gas behavior on the submicroscopic level. Conclusions: The vast majority of the students reported a positive learning experience and described it as worth spending their time. [ABSTRACT FROM AUTHOR]

The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by neural network methods, such as the generative adversarial network (GAN), which is a powerful generative network. Among many different types of GAN, the proposed method is performed using the Wasserstein generative adversarial network with gradient penalty (WGANGP). Since edge information is the most important factor in an image, the style loss function is applied to represent the perceptual information of the edge in order to preserve small edge information and capture its perceptual similarity. As a result, the proposed method improves the similarity between sharp and blurred images by minimizing the Wasserstein distance, and it captures well the perceptual similarity using the style loss function, considering the correlation of features in the convolutional neural network (CNN). To confirm the performance of the proposed method, three experiments are conducted using two datasets: the GOPRO Large and Kohler dataset. The optimal solutions are found by changing the parameter values experimentally. Consequently, the experiments depict that the proposed method achieves 0.98 higher performance in structural similarity (SSIM) and outperforms other de-blurring methods in the case of both datasets. [ABSTRACT FROM AUTHOR]

In wireless networks packets are lost because of queue congestion during high traffic, collisions, hidden nodes, and link failures. The problem of dropped packets becomes more critical in real-time applications, such as video conferences and remote controls. This paper presents a new wireless network coding (WNC) scheme and router detection packet loss (RDPL) algorithm for retrieving packets that are lost in a wireless network. In the WNC scheme, a router combines (encodes) packets originating from the same or different sources and forwards the packets to another router. In the RDPL algorithm, the coding router sends a negative acknowledge to the upper layer routers whenever it receives only one packet or two identical packets. The proposed WNC–RDPL method increases the transmission capacity and packet delivery ratio (PDR). The architecture has been evaluated for one, two, three, and four link failures. The simulation results show that the WNC–RDPL approach obtain 100% PDR gains compared with well-known linear network coding schemes. [ABSTRACT FROM AUTHOR]

Abstract Development of mobile collaborative applications requires non-trivial amounts of efforts in enabling multi-device resource sharing. The current practice of mobile collaborative application development remains largely at the application level. In this paper, we present CollaboRoid , a platform-level solution that provides a set of system services in the Android stack. It abstracts the sharing of not only hardware resources, but also software resources and multimedia contents between multiple mobile devices. We demonstrate the efficacy of CollaboRoid first with an example mobile collaborative application developed using CollaboRoid followed by extensive experiments with several collaboration scenarios on Nexus 5 and 7 devices. Our experimental results confirm that (1)the latency of remote resource access remains sufficiently low for collaboration, and (2)the additional energy consumption for collaboration is insignificant considering the benefit of energy sharing effect. [ABSTRACT FROM AUTHOR]

With the deployment of multimedia services over VANETs, there is a need to develop new techniques to insure various levels of quality of services (QoS) for real time applications. However, in such environments, it is not an easy task to determine adequate routes to transmit data with specific application QoS requirements. In this paper, we propose CBQoS-Vanet, a new QoS-based routing protocol tailored towards vehicular networks in a highway scenario. This protocol is based on the use of two techniques: first a clustering technique which organizes and optimizes the exchange of routing information and, second, a bee colony inspired algorithm, which calculates the best routes from a source to a destination based on given QoS criteria. In our approach, clusters are formed around cluster heads that are themselves elected based on QoS considerations. The QoS criteria here are based on the two categories of metrics: QoS metrics and mobility metrics. The QoS metrics consists of the available bandwidth, the end-to-end delay, and the jitter. The mobility metrics consists of link expiration time and average velocity difference. We have studied the performance of CBQoS-Vanet through simulation and compared it to existing approaches. The results that we obtained show that our technique outperforms, in many aspects, the approaches that it was compared against. [ABSTRACT FROM AUTHOR]

Recently, the Internet of Things (IoT) has become a popular topic and a dominant trend in various fields, such as healthcare, agriculture, manufacturing, and transportation. In particular, in the field of education, it has become a popular tool to improve learners' interests and achievements by making them interact with various devices in and out of the classroom. Lessons in newspaper in education (NIE), which uses newspapers as an educational resource, have started to utilize it. For instance, by analyzing the data generated from a learner's device, such as Raspberry Pi, appropriate news and related multimedia data can be provided to the learners as learning materials to support the lesson. However, as news and multimedia data are scattered in a wide variety of forms, it is very difficult to select appropriate ones for the learner. In this paper, we propose a news and related multimedia recommendation scheme based on IoT for supporting NIE lessons. Specifically, news and related multimedia data are collected from the Web, and they are integrated and stored into the server. After that, the learner can easily browse such contents using a mobile device through personalized visualization, which increase the efficiency of NIE lessons. To show the effectiveness of our scheme, we implemented a prototype system and performed various experiments. We present some of the results. [ABSTRACT FROM AUTHOR]

Multiprocessor system-on-chip (MPSoC) has become an attractive solution for improving the performance of single chip in objective to satisfy the performance growing exponentially of the computer applications as multimedia applications. However, the communication between the different processors’ cores presents the first challenge front the high performance of MPSoC. Besides, Network on Chip (NoC) is among the most prominent solution for handling the on-chip communication. Besides, NoC potential limited by physical limitation, power consumption, latency and bandwidth in the both case: increasing data exchange or scalability of Multicores. Optical communication offers a wider bandwidth and lower power consumption, based on, a new technology named Optical Network-on-Chip (ONoC) has been introduced in MPSoC. However, ONoC components induce the crosstalk noise in the network on both forms intra/inter crosstalk. This serious problem deteriorates the quality of signals and degrades network performance. As a result, detection and monitoring the impairments becoming a challenge to keep the performance in the ONoC. In this article, we propose a new system to detect and monitor the crosstalk noise in ONoC. Particularly, we present an analytic model of intra/inter crosstalk at the optical devices. Then, we evaluate these impairments in objective to present the motivation to detect and monitor crosstalk in ONoC, in which our system has the capability to detect, to localize, and to monitor the crosstalk noise in the whole network. This system offers high reliability, scalability and efficiency with time running time less than 20 ms. [ABSTRACT FROM AUTHOR]