Multimedia Applications Research Articles

Application of Learning Media in Improving Higher Order Thinking Skills in Electronics Teaching Materials

This research aims to create a learning multimedia application that can be used by students in learning. The method used is development research from Jan Van De Akker with formative evaluation from Martin Tessmer. The research stage consists of four stages, namely the preliminary research stage, prototype, summative evaluation, and systematic reflection and documentation. Based on user assessment, the learning multimedia is practical to use with a practicality level of 83% and is included in the good category. The effectiveness of multimedia at the summative evaluation stage is based on the post-test results. The results of the student posttest stated that 9 out of 12 students scored ≥75, meaning that 75% of the participants passed and this multimedia is effective. The results showed that the learning multimedia application can improve the higher-order thinking skills of students.

TABDeep: A two-level action branch architecture-based deep reinforcement learning for distributed sub-tree scheduling of online multicast sessions in EON

The surge in demand for multimedia applications has brought a great pressure on network bandwidth resources. In order to improve the efficiency of bandwidth resource usage and ensure the transmission quality of multicast sessions, it is very urgent to effectively schedule online multicast sessions. To do so, in this paper, we study the distributed sub-tree scheduling problem of online multicast sessions in elastic optical network (EON). First, we model the problem as a Markov Decision Process (MDP) by defining state, action and reward. Second, a two-level action branch architecture-based deep reinforcement learning (TABDeep) algorithm is proposed to realize the destination node grouping, source node selection, route establishment and spectrum assignment of multicast sessions. Finally, to test the superiority of TABDeep, we construct a series of simulation experiments to compare TABDeep with a link-aware distributed steiner sub-tree benchmark algorithm (LA-DSST). The experimental results confirm that TABDeep performs better than LA-DSST in reducing the blocking probability of the session.

Application of Perceptual Model-Driven Multimedia Information Retrieval Technology in English Teaching Management Systems

The application of multimedia technology in college English classroom teaching is suitable for sports and mute with illustrations, excellent audio, and video. The application of multimedia in the field of education has become the focus of the current English education reform, and education has entered the industrial age and the information age. This research aims at teaching practice in order to obtain high-quality educational results. And gradually turn multimedia, a new way, into an effective teaching tool in English education. Based on the research on the demand of information perception for English teaching, this article studies the relationship between constant information perception and English teaching demand from the perspective of multimedia information perception. An evolving model of English teaching needs caused by the change of multimedia information perception due to the input of external resources is established. The study found that when the average consumer perception is low, the revenue of enterprises can be rapidly improved by investing external resources.

A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring

Wetlands play a critical role in maintaining the global climate, regulating the hydrological cycle, and protecting human health. However, they are rapidly disappearing due to human activities. Waterbirds are valuable bio-indicators of wetland health, but it is challenging to monitor them effectively. Wireless Multimedia Sensor Networks (WMSNs) offer a promising technology for monitoring wetlands. Nonetheless, these networks are constrained in terms of energy, and also encounter challenges associated with large-scale deployments under natural environmental conditions. These conditions introduce harsh circumstances that may not have been anticipated during the pre-deployment testing phase. This paper proposes a Digital Twin (DT) based energy-efficient WMSN monitoring system specifically tailored for waterbirds in wetlands. The system utilizes a unique approach that combines local audio identification and image compression with DT technology to optimize network performance and minimize energy consumption. To reduce unnecessary image transmissions, the system employs a real-time, low-complexity local audio identification phase before triggering image capture. A denoising step is employed to achieve highly accurate bird recognition despite surrounding noises. Each image undergoes a low-complexity compression scheme prior to transmission, further enhancing energy efficiency. To enhance the system’s overall efficiency and effectiveness, DT technology is integrated to create real-time replicas of the WMSN and the monitoring application. A synergistic interaction between the two DTs enables cooperative data-making decision that ensures both QoS (Quality of Service) and QoE (Quality of Experience) requirements are met. Transmission rate control is done using a fuzzy logic decision-making technique. Real-time feedback provides rapid and accurate analysis of the current state of the WMSN, allowing for dynamic adjustments. The ”what-if scenarios” feature of the implemented DTs has been effectively leveraged to find the most suitable settings for the controller. The effectiveness and performance enhancements achieved by integrating DT into our WMSN-based surveillance system are validated through comprehensive experiments in scenarios that correspond to a real-world wetland. Comparative analyses demonstrate the undeniable benefits of the DT-integrated system compared to a conventional WMSN-based surveillance setup. In particular, the results demonstrate the system’s superior performance in terms of energy efficiency, real-time monitoring capabilities, and ability to handle multiple video sources.

Dura-Europos Stories: Developing interactive storytelling applications using knowledge graphs for cultural heritage exploration

We introduce Dura-Europos Stories, a multimedia application for viewing artifacts and places related to the Dura-Europos archaeological excavation. We describe the process of mapping data to the Wikidata data model as well as the process of contributing data to Wikidata. We provide an overview of the functionality of an interactive application for viewing images of the artifacts in the context of their metadata. We contextualize this project as an example of using knowledge graphs in research projects in order to leverage technologies of the Semantic Web in such a way that data related to the project can be easily combined with other data on the web. Presenting artifacts in this story-based application allows users to explore these objects visually, and provides pathways for further exploration of related information.

A reversible fragile watermarking technique using fourier transform and Fibonacci Q-matrix for medical image authentication

Image authentication techniques are crucial for a multitude of multimedia applications. When images are transmitted through non-secure channels like the internet, they are vulnerable to unauthorized alterations and manipulations. Therefore, it is essential in sensitive fields, like the medical industry, to employ image authentication techniques to guarantee the integrity and authenticity of transmitted images. In this paper, to address these security issues and to ensure the authenticity of medical images, we present a reversible fragile watermarking model where the watermark is first generated from the cover image using DCT and then encrypted by the Fibonacci Q-matrix technique, enhancing the model’s security. Subsequently, DFT is performed on the host image and the obtained sub-band is segmented into 2 × 2 blocks, the watermark is then embedded within the frequency coefficients using a new embedding technique. Experimental results indicates that the presented model produces a great watermarked image quality, with a PSNR superior to 117 dB, while maintaining an acceptable embedding capacity of 0.25 BPP and high sensitivity to various attacks, as it was tested against 16 different attacks and could detect tampering in all of them. Furthermore, the presented scheme offers nearly perfect reversibility with a PSNR of 324 dB, which is very useful in the medical field where we need images with as little distortion as possible.

The Effectiveness of Rubeda (Regional Learning Space) 3T Multimedia Application in Improving Digital Skills of the Warmon Kokoda Village Community

Digital literacy is one of the indicators of the progress of a nation or country in the era of revolution 5.0, this is made by the Indonesian government as a framework called "digital capability" in this case the Ministry of Communication and Information Technology since 2017 with various programmes targeting four pillars or main competencies, namely: Digital Skill, Digital Culture, Digital Ethics, and Digital Safety, but Indonesia's digital literacy percentage in 2023 is still low with a score of 62%, the lowest in ASEAN countries. This is caused by various factors, one of which is the uneven development of internet access devices, especially eastern Indonesia which is an area without internet access or called the 3T area (disadvantaged, frontier and outermost). The type of research used is a combination of Borg & Gall's Research and Development (R&D) and Multimedia Development Life Cycle (MDLC). This is the purpose of the research to improve digital literacy (digital skills) through the development of the RUBEDA 3T multimedia application which can be accessed using an intranet network (without the internet) which is effective to use. The type of research used is a combination adaptation between R&D (Borg & Gall) with MDLC (Multimedia Development Life Cycle). Measuring the effectiveness of the RUBEDA 3T Application using Paired sample t test analysis then continued the N-gain test. So that the results of the effectiveness value obtained a percentage value of 79.81% with an effective category, showing an increase.

Multimedia Mobile Application to Improve the Academic Achievement of Fifth Grade Elementary School Students in Physical Education Classes

Lack of student interest in learning has an impact on low student learning outcomes. One of the factors that causes low student learning outcomes is the lack of learning media. This research aims to examine the effect of multimedia mobile applications to improve the academic achievement of fifth grade elementary school students in physical education classes. This type of research is quantitative research using an experimental design. The population in this study was 112 grade V elementary school students. This research took samples randomly using the Slovin formula. The methods used to collect data are questionnaires and tests. The instruments used to collect data were questionnaire sheets and test questions. The data analysis technique used to analyze the data is inferential statistics. The results of this research, namely the t-test results, show that there is an influence of the use of mobile Apps in learning activities. It can be concluded that the use of mobile Apps in learning activities can improve students' academic achievement in class V physical education. This research implies that the use of mobile Apps in learning activities can make it easier for students to learn.

A Survey on Video Streaming for Next-Generation Vehicular Networks

As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireless communication technology to address network bottlenecks. Therefore, this study provides an exhaustive overview of the latest advancements in video streaming over vehicular networks. First, we introduce related work and background knowledge, and provide an overview of recent developments in vehicular networking and video types. Next, we detail various video processing technologies, including the latest released standards. Detailed explanations are provided for network strategies and wireless communication technologies that can optimize video transmission in vehicular networks, paying special attention to the relevant literature regarding the current development of 6G technology that is applied to vehicle communication. Finally, we proposed future research directions and challenges. Building upon the technologies introduced in this paper and considering diverse applications, we suggest a suitable vehicular network architecture for next-generation video transmission.

A novel lightweight CNN-based error-reduced carry prediction approximate full adder design for multimedia applications

A novel lightweight CNN-based error-reduced carry prediction approximate full adder design for multimedia applications

Applying ADDIE Model to Develop Multimedia Lessons for Adolescent Reproductive Health Education in Uganda

This study aimed to develop and evaluate a multimedia application intervention for adolescent sexual reproductive health education in secondary schools in Uganda. The lack of access to quality reproductive health education and services, exacerbated by the recent COVID-19 pandemic, contributes to unplanned pregnancies, health complications, and sexual and gender-based violence (SGBV) among adolescents in Uganda. Researchers and teachers collaborated to create multimedia lessons covering topics such as sexual reproductive health and rights (SRHR) and SGBV for adolescents in participating schools. The educational content and format were co-designed to better incorporate the local context and address priority issues by involving end users of the software (adolescents and their teachers) as content contributors during the development phase. The innovative multimedia application was developed using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. A student manual was also created as a teaching tool, providing educators with lesson introductions and guiding questions for post-lesson group discussions. The manual includes a simplified print version of the educational content, ensuring that students and teachers in schools without ICT resources can benefit from the intervention. Questionnaires were developed and administered to 14 Results indicate that all 14 trained teachers demonstrated improved knowledge about the use of multimedia applications to deliver adolescent-friendly sexual reproductive health (SRH) education. Additionally, all 14 teachers self-reported that the multimedia application is a feasible and acceptable method to deliver adolescent-friendly SRH education.

Development of hydrological cycle learning media based on android application for fifth grade elementary school students

Many teachers only focus on using books so that students feel bored and bored with learning, which results in learning not being maximally received. Educational media is used as a tool in learning activities to assist teachers and students in achieving learning goals, where technology has become an integral part of all activities. This study aims to develop multimedia learning applications for hydrology subjects for grade v elementary school students. The methodology used is R&D, focusing on the development process. The application is made through the analysis, design, and development stages. Validation from two validators of the media gave 94% results and stated the validity of the media without revision to be used in learning the hydrological cycle in the school curriculum. recommendations from this study are to improve user identity features and quiz features in the surrounding environment.

Career Counselling Chatbot on Facebook Messenger using AI

Work instructions have always been necessary, but in recent times they have only gained the respect they deserve and now that they are in high demand and available worldwide, it is important to have a simple understanding of the various tasks that need to be done. Career counsellors are responsible for providing high school students with the experience and skills they need to make informed career decisions, education, and long-term goals. Music; It is a social event that unites people regardless of market, age, history, language, interests, political affiliation and income. Music and streaming apps are in demand because they are versatile and compatible with daily life, travel, sports and other activities. The rise of mobile phones and digital multimedia technology has made digital music a consumer favourite for many young people. Although career orientation has always been important, it has recently become widely recognized as a key element in today's career change research. High school students, in particular, need early and sustained exposure to many popular careers around the world. This information allows them to make decisions that patiently pursue their educational preferences. Music is a unifying force that transcends borders and barriers and plays a special role in this field. Music and streaming services are integrated into daily life, travel and entertainment, resulting in a universal love of music. The growth of mobile phones and digital technology has brought digital music even more to the forefront of youth content. However, many students do not have enough guidance to bridge the gap between their education, passions, and future career goals. This often leads to frustration and inability to take action. To meet this need, our web career counselling program, based on the ASP.NET Framework, provides students with career planning tools, skills development and opportunity guidance through a Google Dialog flow-powered counselling chatbot. By exploring music as a potential career path and leveraging its global appeal, we aim to inspire and guide students into a successful and rewarding career.

IMAGE CAPTIONING WITH AUDIO INTEGRATION

Investigating the synergy between image captioning and audio integration, our study employs an advanced Encoder-Decoder framework. Integrating visual and auditory features, the model enhances caption precision. Through extensive experimentation, our results reveal a notable improvement in contextual understanding compared to conventional image captioning models. This research underscores the potential of multimodal approaches for enriching multimedia applications, particularly in contexts where comprehensive content comprehension and accessibility are paramount. Key Words: Deep Learning, Natural Language Processing, Multi Modal Attention Mechanism, Image Captioning.

Design and evaluation options of multimedia applications to support the care of people with mild dementia

In order to cognitively and physically activate people with dementia (MMD) in institutional settings, there are numerous touch-based multimedia applications specifically designed for this target group that are actually being used in practice. In contrast, the use of similar applications in domestic settings has been relatively limited. This study is based on 11expert interviews guided by questions and examines design options and requirements for application content as well as requirements for study designs to provide evidence of the effectiveness of touch-based multimedia applications for MMD and their caregiving relatives (PA). There is ahigh degree of consensus regarding the criteria for requirements for touch-based multimedia applications. Acceptance is highly dependent on user competence, usage practices, experiences and incentive structures; however, there are diverse opinions about their structural and content-related design. The quality of life is mentioned as an essential evaluation parameter for multimedia applications. The highly variable individual life circumstances of MMD and their PAs, along with limited access options and alack of suitability of the multimedia applications, may be causal factors for their relatively limited use, especially in domestic settings. Daily performance capabilities and individual disease progression pose special requirements for the scientific evaluation and the demonstration of the effectiveness of touch-based multimedia applications.

Review of Interactive Teaching Methods of Music in Junior Middle Schools

At present, music teaching in junior high schools is gradually highlighting the importance and development trend of interactive teaching. This study provides an in-depth analysis of all aspects of interactive teaching of music in junior middle schools through a multi-faceted research perspective, providing richer insights and methods for improving the quality of teaching. The art of teacher-student interaction in junior high school music classroom teaching under the new curriculum reform was discussed, and the core role of interaction in teaching was explained in detail. Researchers have conducted in-depth studies on teacher-student interactive teaching strategies in junior high school music classes, providing more practical guidance for actual teaching. In terms of revealing the problems and countermeasures of music teaching in junior high schools, researchers have put forward more specific suggestions. In the process of in-depth exploration of interactive teaching of music in junior high schools, researchers realized the actual current situation of interactive teaching in online music classes and revealed various challenges and opportunities in online teaching. This article advocates improving the effectiveness of music teaching in junior middle schools through interactive teaching and injecting richer vitality into education. At the same time, researchers have focused on in-depth discussions on interactive teaching strategies in junior middle school music appreciation classes, providing systematic theoretical support for cultivating students' music appreciation abilities. They also paid attention to the application of interactive teaching models in junior high school music teaching, which provided profound inspiration for the construction of active interactive teaching models. Starting from the core literacy background, researchers conducted in-depth research on the interaction methods between teachers and students in junior high school music classes, and provided specific operational plans for the implementation of literacy education. Paying attention to the new form of teacher-student interaction in improving the musical literacy of junior high school students provides strong empirical research support for cultivating students' comprehensive literacy. Through in-depth research on the interactive teaching model of junior high school music classes, it provides experienced practical guidance for building a more interactive teaching framework. To sum up, the current research on interactive teaching of music in junior high schools involves many aspects such as teaching strategies, problems and countermeasures, online teaching, multimedia applications, and core competencies. These studies not only provide profound theoretical support for junior high school music teaching, but also provide rich experience and inspiration for practical teaching. In the future of music education, interactive teaching will continue to play a positive role in promoting, opening up broader possibilities for cultivating students' comprehensive literacy. Based on the latest references, this article conducts an in-depth study of interactive teaching methods of music in junior high schools, providing a solid theoretical foundation for subsequent research.

Multimodal and Multimedia: An Evaluation of Revoicing in Agent Raghav TV Series of Hausa in Arewa24

Translation implies the transfer of speech to written text, while, revoicing is the replacement of the original voice through the use of multimodal or multimedia technology. Therefore, revoicing is an aspect of Audiovisual Translation that replaces the original speech which was translated in the target language to transfer the culture and language of the source language to an audience. The purpose of this study is to explore the use of revoicing especially in multimedia translation, application and limitations. There is also subtitling that leaves the original speech intact and adds a written translation on screen. The choice of translation procedure depends on a variety of factors. The researchers extracted some segments that served as their corpus for analysis. The researchers applied semiotic theory and comparative approach. The comparison assisted them in identifying some inadequacies in the revoicing and making observations and interpretations. At the end, the following findings were made: i) lips synchronisation became difficult in some instances as the length of sentences in two languages are not the same, ii) revoicing plays a vital role in culture and language preservation, hence an important tool in communication delivery. It was also identified that the two different languages (Hindi and Hausa) have different patterns and language structures.

Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition for Enhanced Imperceptibility and Robustness

Digital multimedia elements such as text, image, audio, and video can be easily manipulated because of the rapid rise of multimedia technology, making data protection a prime concern. Hence, copyright protection, content authentication, and integrity verification are today’s new challenging issues. To address these issues, digital image watermarking techniques have been proposed by several researchers. Image watermarking can be conducted through several transformations, such as discrete wavelet transform (DWT), singular value decomposition (SVD), orthogonal matrix Q and upper triangular matrix R (QR) decomposition, and non-subsampled contourlet transform (NSCT). However, a single transformation cannot simultaneously satisfy all the design requirements of image watermarking, which makes a platform to design a hybrid invisible image watermarking technique in this work. The proposed work combines four-level (4L) DWT and two-level (2L) SVD. The Arnold map initially encrypts the watermark image, and 2L SVD is applied to it to extract the s components of the watermark image. A 4L DWT is applied to the host image to extract the LL sub-band, and then 2L SVD is applied to extract s components that are embedded into the host image to generate the watermarked image. The dynamic-sized watermark maintains a balanced visual impact and non-blind watermarking preserves the quality and integrity of the host image. We have evaluated the performance after applying several intentional and unintentional attacks and found high imperceptibility and improved robustness with enhanced security to the system than existing state-of-the-art methods.

Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment

Scene text recognition (STR), one typical sequence-to-sequence problem, has drawn much attention recently in multimedia applications. To guarantee good performance, it is essential for STR to obtain aligned character-wise features from the whole-image feature maps. While most present works adopt fully data-driven attention-based alignment, such practice ignores specific character geometric information. In this article, built upon a group of learnable geometric points, we propose a novel shape-driven attention alignment method that is able to obtain character-wise features. Concretely, we first design a corner detector to generate a shape map to guide the attention alignments explicitly, where a series of points can be learned to represent character-wise features flexibly. We then propose a dual-path network with a mutual learning and cooperating strategy that successfully combines CNN with a ViT-based model, leading to further accuracy improvement. We conduct extensive experiments to evaluate the proposed method on various scene text benchmarks, including six popular regular and irregular datasets, two more challenging datasets (i.e., WordArt and OST), and three Chinese datasets. Experimental results indicate that our method can achieve superior performance with a comparable model size against many state-of-the-art models.

Teaching the processes of mountain formation in physical geography using multimedia technologies (Kazakhstan)

Relevance. Physical geographical education plays an important role in the system of geographical education. Without mastering physical and geographical knowledge, it is impossible to form knowledge about the process of mountain formation. Teachers can clearly present the dynamic development of the process of mountain formation using multimedia technology in class rooms. However, electronic textbooks, which present an effective method of teaching through multimedia technologies, are not enough. Today, the importance of multimedia applications has increased with the mass distance learning of schoolchildren during the pandemic. Purpose. The study aims at developing an effective methodological basis for teaching the mountain-forming process in school geography. Methodology. Despite the works of scientists who have theoretically studied multimedia technologies, the methodology is not sufficiently studied for introducing new technologies into the learning process. This, in turn, requires a thorough study of the pedagogical aspects of multimedia technologies in geography. Results. This paper analyses the features of teaching geography in Kazakhstan focusing on the analysis of the important role of physical geography in the system of geographical education. This article considers the problem of teaching mountain-forming processes in physical geography. A broad theoretical analysis of folded, wrinkled, folded-axillary mountains was carried out with the classification of mountains by formation, age and height. These data were taken as the theoretical basis of the methodology of teaching the process of mountain formation. Conclusions. The article defines how multimedia technologies can be used in teaching geography in schools of Kazakhstan. The authors proposed a methodology for teaching the process of mountain formation using a multimedia textbook.