Multimedia Applications Research Articles

Rancang Bangun Game Edukasi Pengenalan Pahlawan Berbasis Android

Learning media has a crucial role for teachers in conveying information during learning activities. However, many elementary schools currently still rely on audio-visual media and teaching aids, which can cause boredom among students during the teaching and learning process. Indonesian heroes are those who fought for Indonesian independence against the colonialists. Therefore, strategies are needed that can awaken feelings of love for the country and patriotism in children. It is hoped that the use of Android-based games as a learning medium can increase students' interest in learning, especially in understanding national heroes. The design of this multimedia application follows the Game Development Life Cycle (GDLC) method with initialization, preproduction, production, testing, beta and release stages. By designing this educational game, the author hopes to help students at SD Negeri 1 Karangsentul to get to know and remember Indonesia's national hero figures, as well as increase their sense of nationalism.

IMPLEMENTATION OF DIGITAL INTERACTIVE MULTIMEDIA DEVELOPMENT BASED ON ARTICULATE STORYLINE

The research aims to determine the application of developing teaching media by implementing articulatory storylines in learning. Respondents in this study were limited to fourth grade students, the method used was Research and Development by combining the ADDIE model. Feasibility is seen through expert validation, several tests, small group trials, and field trials with indicators of student responses and learning outcomes. The field test was carried out on 40 students. The research results show that digital interactive multimedia and the Articulate Storyline application have great potential for use in learning. Expert validation results obtained an average of 97% with the classification "Very Decent" reinforced by the N-Gain achievement reaching a percentage of 74% in the "High" category, and getting good results with a student response percentage value of 93.1% and response teachers by 94% with the criteria "Very Eligible". Students gave a positive response to interactive multimedia assisted by an articulated and developed storyline application. It can be concluded that digital interactive teaching media is practically used in learning in Theme 9 Subtheme 2 Learning 5 and meets the valid criteria and is very suitable for use in learning in class IV elementary schools.

Unidirectional switch model for multiservice traffic with polymodal distribution

The modern stage of development of telecommunication networks is characterized by active improvement of routing algorithms in packet-switched networks taking into account the provision of the required quality of service. The need to transfer large amounts of information is due to the need to ensure the normal functioning of modern multimedia applications, in particular such as IP telephony, video and radio broadcasting, interactive distance learning, which determines the multiservice nature of traffic, which is heterogeneous, and its statistical properties in most cases are of a complex polymodal nature. Taking into account the fact that traditional Poisson models providing FIFO servicing of network traffic for solving modern telecommunication problems lead to overly optimistic results in terms of delays, there is a need to develop a new mathematical model of a unidirectional switch providing FIFO servicing of multiservice traffic with polymodal distribution taking into account the provision of the required quality of subscriber service and an algorithm for estimating its main parameters. Development of a mathematical model of a unidirectional switch FIFO-service of multiservice traffic with polymodal distribution taking into account the provision of the required quality of subscriber service and an algorithm for estimating its main parameters. A new mathematical model of a unidirectional switch implementing FIFO-service of multiservice traffic with polymodal distribution has been developed, allowing one to estimate the probabilities that packets arriving at the switch input will not be processed due to overflow of its buffer memory and exceeding the maximum packet processing time. The model takes into account the delays introduced by the channel and channel equipment during the distribution and processing of packets from the source to the switch in question. Recommendations for modeling traffic processing to ensure the specified accuracy of the results are presented.

Development of Learning Material using Gamification for Students with Autism Spectrum Disorder

The basic need for students with an autism spectrum disorder in lectures is repetition in their learning activities. The development of gamification for learning material can accommodate these needs. Information System Department, Universitas Komputer Indonesia, has developed multimedia-based learning material with the concept of gamification for them in two courses as prototypes. Data for the needs for developing learning material was carried out through forum group discussions with experts in the education field for students with special needs. When data is collected from stakeholders, then analyzed with the Strength, Weakness, Opportunity, and Threat model to get a description of the internal and external environment in their learning process. After that, the design, development, and testing (using the black box method and user acceptance testing) of the multimedia application are presented. The result is an application as a prototype which is packaged in a gamification concept to provide interactive audiovisual through the provision of theoretical and practical material video and evaluation by the completion of a mission in a game. The goal is to efficiently deliver material in the learning process for them. The impact of the prototype can be able to improve the quality of the learning experience of students with an autism spectrum disorder.

Intelligent code search aids edge software development

The growth of multimedia applications poses new challenges to software facilities in edge computing. Developers must effectively develop edge computing software to accommodate the rapid expansion of multimedia applications. Code search has become a prevalent practice to enhance the efficiency of the construction of edge software infrastructure. Researchers have proposed lots of approaches for code search, and employed deep learning technology to extract features from program representations, such as token, AST, graphs, method name, and API. Nevertheless, two prominent issues remain: 1) there are only a few studies on the effective use of graph representation for code search (especially in Java language), and 2) there is a lack of empirical study on the contributions of different program representations. To address these issues, we conduct an empirical study to explore program representations, especially program graphs. To the best of our knowledge, this is the first attempt to conduct code search with mixed graphs representation for Java language, containing the control flow graph and the program dependence graph. We also present a hybrid approach to capture and fuse the features of a program with representations of Token, AST, and Mixed Graphs (TAMG). The results of our experiment show that our approach possesses the best ability (R@1 with 37% and R@10 with 67.1%). Our graph representation exhibits a positive effect, and the token and AST also have a significant contribution to the code search. Our findings can aid developers in efficiently searching for the desired code while constructing the software infrastructure for edge computing, which is crucial for the rapid expansion of multimedia applications.

Video shot-boundary detection: issues, challenges and solutions

The integration of high data transmission rates and the recent digital multimedia technology, paves the way to access a huge amount of video over the internet, in seconds. Additionally, uploading videos to different websites is no more confined to expert software professionals resulting in duplication of video data which led to exorbitant growth of multimedia information in cyberspace in a short span of time. This necessitates the development of efficient data management techniques including storage, searching and annotation mechanism. Automatic shot boundary detection is considered to be the first and foremost step towards such management. It is a booming area of research gaining attention in the domain of image processing, computer vision and pattern recognition. In this review paper, we present a detailed description of the methods and algorithms of shot boundary detection, reported in the last two decades. This review shows that using multiple features performs well in comparison to using only a single feature in the shot boundary detection problem although it leads to higher complexity. The major sources of disturbance in the boundary detection are the sudden illumination variation and presence of high motion in the video. An adaptive threshold outperforms a single global threshold in the boundary detection problem and the threshold requirement can be avoided through learning based strategies at the cost of larger training data and higher computation time. Moreover the present review includes a critical analysis of relative merits and demerits of existing algorithms and finally opens promising research directions in the area.

Pelatihan Membuat E-Book Memanfaat Aplikasi Canva Pada Siswa SD Di Desa Patemon

It is natural that science and technology are currently developing, therefore it is required to be able to determine appropriate learning methods and media to facilitate the teaching and learning process. Until now, the selection and fulfillment of technology-based learning media is still very rarely carried out and implemented. To develop learning media for PBPMD student activities in Patemon village, namely holding community service where the main program is training in making e-books or digital books using multimedia applications as learning media in elementary schools in Patemon village. To maximize the use of Information and Technology (IT)-based media in learning and the supporting facilities available, training and assistance in creating IT-based media is carried out so that education in villages, especially Petemon village, also competes in IT developments.

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations

The scene graph is a novel data structure describing objects and their pairwise relationship within image scenes. As the size of scene graphs in vision and multimedia applications increases, the need for lossless storage and transmission of such data becomes more critical. However, the compression of scene graphs is less studied because of the complicated data structures involved and complex distributions. Existing solutions usually involve general-purpose compressors or graph structure compression methods, which are weak at reducing the redundancy in scene graph data. This article introduces a novel lossless compression framework with adaptive predictors for the joint compression of objects and relations in scene graph data. The proposed framework comprises a unified prior extractor and specialized element predictors to adapt to different data elements. Furthermore, to exploit the context information within and between graph elements, Graph Context Convolution is proposed to support different graph context modeling schemes for different graph elements. Finally, an overarching framework incorporates the learned distribution model to predict numerical data under complicated conditional constraints. Experiments conducted on labeled or generated scene graphs demonstrate the effectiveness of the proposed framework for scene graph lossless compression.

ArtSpace : Art and Music Gallery

ArtSpace is a revolutionary digital platform that redefines the landscape of artistic expression, community engagement, and creative collaboration. With a mission to democratize the art world and empower artists, enthusiasts, and collectors alike, ArtSpace serves as a dynamic ecosystem where creativity knows no bounds. This abstract explores the essence of ArtSpace, delving into its key features, impact on the artistic community, and vision for the future. At its core, ArtSpace is a hub of creativity, innovation, and inspiration. Artists from diverse backgrounds and disciplines converge on the platform to showcase their work, connect with fellow creators, and engage with a global audience. Through intuitive tools and interactive features, artists can upload their artwork, curate their portfolios, and interact with enthusiasts who share their passion for art. One of the defining features of ArtSpace is its emphasis on community building and collaboration. Enthusiasts can explore a rich tapestry of artwork spanning various genres, styles, and mediums, from traditional paintings and sculptures to cutting-edge digital art and multimedia installations. Through voting mechanisms, comments sections, and social sharing options, users can actively participate in shaping the narrative of the art world, fostering a sense of belonging and camaraderie within the community. ArtSpace serves as a catalyst for discovery, exploration, and engagement, offering users an immersive experience that transcends the boundaries of traditional art galleries and museums. By harnessing the power of technology, ArtSpace leverages augmented reality, virtual exhibitions, and interactive experiences to bring artwork to life in new and exciting ways. Users can immerse themselves in virtual galleries, interact with 3D models of sculptures, and experience multimedia installations from the comfort of their homes. Moreover, ArtSpace is more than just a platform for showcasing artwork—it is a marketplace, a classroom, and a cultural hub rolled into one. Artists can monetize their creations through sales, commissions, and collaborations, while enthusiasts can discover and collect unique pieces that resonate with their tastes and preferences. Educational resources, workshops, and tutorials provide aspiring artists with the tools and knowledge they need to hone their craft and pursue their passion for art. Key Words: art, music, creative space, mobile application, gallery.

Pelatihan Penggunaan Multimedia Guna Meningkatkan Minat Belajar Pada Sekolah Advent Anggrek

The Anggrek Adventist School was established in 1985 and currently consists of 2 educational units, namely the Anggrek Adventist Elementary School and the Anggrek Adventist Junior High School, this school is located at Jl. Orchid no. 17 Koja Tanjung Priok, North Jakarta and has a total of 152 students. Most of the students come from families with low socioeconomic status. In several studies, the socioeconomic conditions of parents affect students' learning requests where the low economic and social conditions of parents will make it difficult for students to develop themselves compared to the condition of parents of students whose socio-economic conditions are better because they are able to support the educational needs of their children so that can motivate students to study well. The use of audio-visual media can increase interest in learning by using audio-visual media, students will experience interesting things from the previous situation, based on research that has been done showing that the use of audio-visual (multimedia) can increase student interest in learning and for those services activities to This community will focus on training the use of multimedia to increase interest in learning in Orchid Adventist School students, and the multimedia application that will be used is wordwall where the use of this application can increase student participation in learning and it is hoped that with increasing student participation in the learning process, interest will also increase. students to take lessons.

Powtoon Media in the Whatsapp Group Application on Dental Hygiene Behavior in Primary School Children

Preventive measures such as brushing teeth are still considered not good for children. According to the Indonesian Ministry of Health's Data and Data Center in 2018, it was stated that tooth brushing behavior based on age groups in Indonesia, namely the daily brushing behavior of children aged 10-14 years, had a percentage of 96.5% with the percentage of correct tooth brushing time being 2.1%. Riskesdas states that the percentage of brushing teeth correctly is 2.8%. Promotional efforts that can be made are Dental Health Education. Apart from being carried out on children, this effort can also be carried out on parents, especially mothers. Powtoon as a multimedia application that can be used as a learning medium has several advantages, including very interesting animation features such as handwritten animation, cartoon animation and lively transition effects as well as easy timeline management. The research method and stages are development research to produce media products, then to see the effect of media use, a quasi-experimental method with one group pretest and posttest design is used. Research Results: Powtoon media for dental health education because of FGD with media experts, health promotion experts and dental health promotion media has been created with the results of expert validation and declared suitable for use as a media for Dental Health Education. Test the influence of powtoon media on children's teeth brushing practices and parents' knowledge using Wilcoxon test analysis with a p-value of 0.000 < 0.005, which means there is a significant influence.

Strategic Integration of Multimedia in Outdoor Education: Nurturing pupils for future Leadership Roles

This research delves into the strategic integration of multimedia within outdoor education settings as a means to nurture pupils for forthcoming leadership roles. In today's rapidly evolving landscape, cultivating leadership skills among youth has become paramount. The study examines the pivotal role of multimedia tools and their intentional incorporation into outdoor education programs to empower pupils with the essential skills and competencies necessary for future leadership responsibilities. Employing a mixed-methods approach, this investigation explores various outdoor education environments where multimedia resources are strategically integrated. Through qualitative observations, interviews, and quantitative assessments, the research evaluates the impact of multimedia usage on pupils' leadership development. Additionally, it assesses how multimedia applications enhance critical thinking, communication, teamwork, and problem-solving skills, essential facets for effective leadership. Findings from this study underscore the significance of deliberate multimedia integration in outdoor education for nurturing pupils' leadership potential. The analysis not only highlights the strengths and benefits of multimedia tools but also identifies potential challenges and best practices for their optimal utilization in shaping future leaders. Ultimately, this research contributes empirical insights that inform primary school educators on the strategic integration of multimedia in outdoor education, from Arad County, Romania, elucidating its role in preparing pupils for the complexities of leadership roles in tomorrow's society.

Mathematical Model of Heterogeneous Traffic in LTE Networks

With the introduction of multimedia mobile applications in cellular networks, effective methods have been used to increase throughput. The article defines methods for dividing cellular network resources through mathematical modeling for heterogeneous traffic. The numerical properties of the indicators of joint servicing of requests, the efficiency of joint transmission of real-time traffic and elastic data traffic have been studied. Explores key uses of traffic model resource bandwidth.

Design, Production and Evaluation of Digital Educational Content Based on DDD-E Model: Depression Treatment in Traditional Persian Medicine

Multimedia conveys educational concepts and materials in an easier, wider, and more attractive way, along with text, sound, image, and video, to overcome the limitations caused by educational methods. The aim of the current research is to produce and evaluate digital multimedia based on the decide, design, develop, and-evaluate (DDD-E) model in the field of teaching depression treatment in traditional Persian medicine. The study was quantitative, and the professors and doctoral students of the two fields of medical education and traditional Persian medicine were the subjects of the present study. In this research, the DDD-E model was used to produce a training package for the treatment of depression in traditional Persian medicine. This study was conducted in four phases: decision-making, planning, development, and evaluation. The final evaluation was done in two stages. First, it was evaluated by preparing a checklist of educational multimedia production stages based on the original DDD-E model, and in the second stage, a QAMLM questionnaire was used to evaluate the final product. The results of the evaluation showed that, according to the evaluators, quality components were generally observed in multimedia production. There was a complete consensus among the experts regarding the quality of content matching the goal and attention to learning results (Kappa coefficient = 1). Regarding the quality of media selection components (Kappa coefficient = 0.383), Paying attention to cultural and social factors (Kappa coefficient = 0.395) There was the least consensus. The overall score of the multimedia produced was equal to 58.4, according to experts. The multimedia was produced in terms of content, education, and technology to provide training to general practitioners in order to improve practical knowledge and use the recommendations of traditional Persian medicine to adjust the treatment patterns of patients with depression.

Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation

Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications. However, current full-head generation methods require a large number of three-dimensional (3D) scans or multi-view images to train the model, resulting in expensive data acquisition costs. To address this issue, we propose Head3D, a method to generate full 3D heads with limited multi-view images. Specifically, our approach first extracts facial priors represented by tri-planes learned in EG3D, a 3D-aware generative model, and then proposes feature distillation to deliver the 3D frontal faces within complete heads without compromising head integrity. To mitigate the domain gap between the face and head models, we present a dual-discriminator to guide the frontal and back head generation. Our model achieves cost-efficient and diverse complete head generation with photo-realistic renderings and high-quality geometry representations. Extensive experiments demonstrate the effectiveness of our proposed Head3D, both qualitatively and quantitatively.

UFace

Facial expression recognition (FER) is a crucial task for human-computer interaction and a multitude of multimedia applications that typically call for friendly, unobtrusive, ubiquitous, and even long-term monitoring. Achieving such a FER system meeting these multi-requirements faces critical challenges, mainly including the tiny irregular non-periodic deformation of emotion movements, high variability in facial positions and severe self-interference caused by users' own other behavior. In this work, we present UFace, a long-term, unobtrusive and reliable FER system for daily life using acoustic signals generated by a portable smartphone. We design an innovative network model with dual-stream input based on the attention mechanism, which can leverage distance-time profile features from various viewpoints to extract fine-grained emotion-related signal changes, thus enabling accurate identification of many kinds of expressions. Meanwhile, we propose effective mechanisms to deal with a series of interference issues during actual use. We implement UFace prototype with a daily-used smartphone and conduct extensive experiments in various real-world environments. The results demonstrate that UFace can successfully recognize 7 typical facial expressions with an average accuracy of 87.8% across 20 participants. Besides, the evaluation of different distances, angles, and interferences proves the great potential of the proposed system to be employed in practical scenarios.

A Comparative Study on The Perception of Parents and Teachers on Blended Learning Approach in The Division of Taguig City and Pateros

As technology advances and educators recognize the benefits of integrating digital tools with traditional teaching practices, blended learning has grown in popularity in a variety of educational settings. It provides a flexible approach that can be tailored to various subjects, grade levels, and student populations, paving the way for more dynamic and effective learning experiences. Technology is essential in blended learning. Teachers supplement the learning process with a variety of digital tools, multimedia, and interactive resources. This incorporation of technology enhances student engagement and fosters creativity in the learning experience. Students benefit from the flexibility of blended learning in terms of time and location. They can study at their own pace and on their own schedule by accessing learning materials, resources, and assignments online. This adaptability is especially useful for students with diverse learning styles and demanding schedules. The study determined the level of agreement on blended learning among Teachers having a student with special needs and parent having a child with special needs inside the classroom in the Division of Taguig during the school year 2022-2023. The study used a quantitative approach, specifically a comparative analysis, to investigate regular teachers' perceptions and parents of the use of blended learning.

Key-homomorphic and revocable ciphertext-policy attribute based key encapsulation mechanism for multimedia applications

Key-homomorphic and revocable ciphertext-policy attribute based key encapsulation mechanism for multimedia applications

Emotion-Driven Soundtrack Selector using AI

Abstract: The work portrayed the advancement of emotion-based Music Player, which is a web application implied for a wide range of clients, explicitly the music sweethearts. With the convenience of music players and other streaming apps, people can listen to music anytime, anywhere, and engage in various activities such as traveling, sports, or daily routines. The advancement of mobile networks and digital multimedia technologies has made digital music the most sought-after consumer content by young people. Moreover, listening to the appropriate music at the right time has the potential to enhance mental well-being. Human inclination assumes an indispensable part as of late. Emotion depends on human sentiments which can be both communicated or not. Emotion communicates the human's singular way of behaving which can be in various forms. The target of this project is to separate elements from the human face and recognize the emotion and play music as per the emotion identified. Be that as it may, many existing/strategies utilize past information to recommend music and different calculations utilized no Facial articulations are caught by a nearby catching gadget or an inbuilt web camera. Here we utilize a calculation for the acknowledgment of the component from the emotion we caught. Many music recommendation systems use content-based or collaborative-based recommendations. However, the choice of music for a user is not only based on his historical preference of the user. But also based on the mood of that user. This project proposes an emotion-based music recommendation that detects the emotion of a user from the webcam and plays the songs based on the user’s mood. In particular, the emotion of a user is classified and predicted the emotion and automatically redirects to the music page. This emotional information is stored in welldefined arrays. Thus, the model can predict the emotion and accuracy can be increased using these data.

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.