Multimedia Applications Research Articles

From Trophic Magnification Factors to Multimedia Activity Ratios: Chemometers as Versatile Tools to Study the Fate of Hydrophobic Organic Compounds in Aquatic Ecosystems.

We applied passive equilibrium sampling using silicone-based chemometers to nine biota species, sediment, and water in a multimedia aquatic ecosystem. They allowed for direct comparison of the concentration of regulated and emerging hydrophobic organic compounds in the silicone across species as well as the comparison of biota with sediments and water. We derived chemometer-based trophic magnification factors (TMFs) of diverse compounds that agreed with the traditionally derived TMFs. Our exploratory work in water demonstrated that equilibrium with newly designed chemometers can be achieved in few days for compounds with a log KOW up to 6. We calculated activity ratios, dividing the concentrations in the silicone equilibrated with biota by those equilibrated with the abiotic exposure media (sediments and water), assessing the thermodynamics of bioaccumulation and the equilibrium state between the ecosystem compartments. They confirmed that the biota were below equilibrium partitioning relative to sediments and water, as other studies have described. Silicone-based chemometers open up new opportunities and applicability in multimedia aquatic ecosystems for studies that rely on equilibrium partitioning of the in-situ mixtures of chemicals, such as multimedia assessments or application of effect-based methods.

Introduction to the Special Issue on Realistic Synthetic Data: Generation, Learning, Evaluation

This is the foreword of our special issue volume on Realistic Synthetic Data: Generation, Learning, Evaluation organized with the ACM Transactions on Multimedia Computing, Communications, and Applications. It presents the target of the special issue that relates to synthetic data for various modalities, e.g., signals, images, volumes, audio, etc., controllable generation for learning from synthetic data, transfer learning and generalization of models, causality in data generation, addressing bias, limitations and trustworthiness in data generation, evaluation measures/protocols and benchmarks to assess quality of synthetic content, open synthetic datasets and software tools, and ethical aspects of synthetic data. The call for papers received a record number of 40 submissions out of which 15 were finally accepted for publication. This introduction provides an overview of the topics of each of the articles.

Static Approximate Modified Mirror—Full Adder for High Speed and Low Power Operations Using 32 nm CNTFET Technology

ABSTRACTThe error tolerance nature of the digital multimedia applications enables the implementation of approximate digital circuits to achieve the benefits of high speed of operation and low power consumption. This paper proposes a static approximate modified mirror full adder (SAMM‐FA) circuit designed using logic level approximation to reduce the number of transistors in the circuit. Owing to the balanced electrical characteristics, better stability and higher on‐current to off‐current ratio (Ion/Ioff), 32 nm carbon nanotube field effect transistor (CNTFET) technology has been used for implementing the proposed circuit in the Cadence Virtuoso tool. Featuring only 10 transistors and operating at a supply voltage of 0.5 V, the proposed SAMM‐FA has a low power dissipation of just 4.14 nW, and propagation delay of just 3.82 ps. The power delay product and energy delay product figure of merits of the proposed circuit are found to be excellent when compared with the contemporary designs.

The Application of an Augmented Reality Offline System for Rural Tourism Development at Pa’ Lungan, Bario

The development of rural tourism is one of the Malaysian government’s primary priorities for improving the socioeconomic and living conditions of the local community. Therefore, new ideas for assisting the rural population’s growth and economy through tourism must be explored. This article examines the application of augmented reality (AR) offline systems in improving this issue. It aims to review the planning, implementation, and effectiveness of the Interactive Digital Map (ID-MAP) as part of a rural tourism project in Pa’ Lungan, Bario, Sarawak. The study is carried out through a practical visual approach and analysed through observational, experiential and reflection approaches. The analysis elaborates on one of the main themes contained in the ID-MAP, which is linked to the famous tourist attraction of Pa’ Lungan – a megalithic rock called Batuh Ritung. The outcome was initially presented through an exhibition that applied digital information delivery using AR applications. As a result, an offline system was developed to assist locals in efficiently promoting tourism sites. This serves as an alternative platform that can verify the eligibility of tourist spots based on the existing digital and interactive multimedia systems, which are vital components in developing the smart village concept with Bario as a case study. Thus, this research has opened new interdisciplinary research opportunities and can be considered an alternative method to visual-based research, especially to stimulate the tourism industry and inform stakeholders and academics on the future of rural tourism.

Cultural Heritage and Educational Practices: A Conceptual Study of Cantonese Folk Song Education in Guangdong Province

This paper explores the intersection of cultural heritage and educational practices in the teaching of Cantonese folk songs in Guangdong Province. It examines the cultural significance of Cantonese folk songs as vital components of Guangdong's intangible cultural heritage and evaluates both formal and informal educational practices that support the transmission of these traditions. The study identifies key challenges, including limited resources, declining youth engagement, and the integration of folk songs into standardized curricula. Additionally, the paper discusses innovative pedagogical methods, such as the use of digital platforms and multimedia tools, that can enhance the preservation and revitalization of folk music. It concludes by suggesting future research directions, including comparative studies of folk song education across regions, the role of technology in cultural transmission, and strategies for increasing youth engagement with traditional music. This research contributes to the ongoing discourse on cultural sustainability and the role of education in preserving intangible cultural heritage.

The Impact of Multimedia Application Based on the Van Merrienboer Model on Learning Complex Subjects

The Impact of Multimedia Application Based on the Van Merrienboer Model on Learning Complex Subjects

MICHAIL GOLEMINOV’S SOUNDSCAPES – A STEP AHEAD

The article portrays one of Bulgaria’s leading composers of the past few decades, who has received international recognition, particularly in the field of electroacoustic music. Michail Goleminov (1956-2022) composed scores for chamber and symphony orchestras. He was a multi-media artist and author of various programming applications, notation games, and generative software. He specialized in musical notation with long years of professional experience as an editor at the Vienna-based Doblinger Publishers and an active pianist and performer of free improvisations. Goleminov completed his musical education in Bulgaria but left for Austria at the age of 28, where he resided, studied, and worked for 16 years. In 2000/2001, he returned to Bulgaria and created Orange Factory Psychoacoustic Arts, an experimental studio for contemporary art, along with pianist Angela Tosheva. They have organized concerts, festivals, master classes, and competitions for musical compositions, published books, and released audio and video productions and multi-media applications at various levels. The duo was also actively engaged in educational activities. Together they carried out more than 250 projects over the years 2001-2022.

Cognitive Approach to the Use of Multimedia in Maharoh Kalam Learning

Mastery of speaking skills in learning Arabic often faces challenges related to student engagement and the effectiveness of traditional teaching methods. Conventional teaching methods are usually considered less attractive and unable to meet the learning needs of students effectively. This study aims to explore the use of multimedia based on a cognitive approach to improving students' speaking skills in the Special Arabic Language Learning Program (PKPBA) UIN Malang. Qualitative research methods were used, involving in-depth observations and interviews with students and faculty to collect data on the experience and impact of multimedia use. The results showed that multimedia designed with a cognitive approach significantly improved students' speaking skills, increased motivation, and enriched the learning experience. These findings make an important contribution to cognitive theory by demonstrating the practical application of multimedia in language learning, as well as providing guidance for educators in designing more effective learning materials. This research also emphasizes the need for inclusive technology development, attention to ethics, and the protection of users' data. Keywords: Speaking Skills, Multimedia, Cognitive

Deep learning models security: A systematic review

Deep learning models and the digital records they generate have remarkably increased their adoption of many practical applications. While the success of deep learning in multimedia applications, especially images, helps tackle some of the most challenging problems, one of its copyright violations, ownership conflict, poses a grave concern for many potential applications. Many works on intellectual property protection for such models have proposed to verify ownership. Therefore, it is necessary to conduct a comprehensive study on the security of deep learning models to evaluate their strong background, state-of-the-art solutions, possible attacks, current limitations and notable improvements. This survey attempts to systematically discuss and summarise the recent advanced security solutions for deep learning models through watermarking, encryption and fingerprinting. Our study explores the recent applications, possible attacks, current limitations and notable suggestions regarding deep learning. It also comprehensively evaluates the recent research gaps and opportunities in detail to empower researchers and practitioners to provide additional secure solutions for deep learning models. This extensive survey is the first to consider model security through several notable techniques.

Retraction Note: Application of interactive multimedia based on optical imaging equipment in digital calligraphy information processing system

Retraction Note: Application of interactive multimedia based on optical imaging equipment in digital calligraphy information processing system

Contrastive Learning based Speech Spoofing Detection for Multimedia Security in Edge Intelligence

Artificial intelligence (AI) empowered edge computing has given rise to a new paradigm and effectively facilitated the promotion and development of multimedia applications. The speech assistant is one of the significant services provided by multimedia applications, which aims to offer intelligent interactive experiences between humans and machines. However, malicious attackers may exploit spoofed speeches to deceive speech assistants, posing great challenges to the security of multimedia applications. The limited resources of multimedia terminal devices hinder their ability to effectively load speech spoofing detection models. Furthermore, processing and analyzing speech in the cloud can result in poor real-time performance and potential privacy risks. Existing speech spoofing detection methods rely heavily on annotated data and exhibit poor generalization capabilities for unseen spoofed speeches. To address these challenges, this paper first proposes the Coordinate Attention Network (CA2Net) that consists of coordinate attention blocks and Res2Net blocks. CA2Net can simultaneously extract temporal and spectral speech feature information and represent multi-scale speech features at a granularity level. Besides, a contrastive learning-based speech spoofing detection framework named GEMINI is proposed. GEMINI can be effectively deployed on edge nodes and autonomously learn speech features with strong generalization capabilities. GEMINI first performs data augmentation on speech signals and extracts conventional acoustic features to enhance the feature robustness. Subsequently, GEMINI utilizes the proposed CA2Net to further explore the discriminative speech features. Then, a tensor-based multi-attention comparison model is employed to maximize the consistency between speech contexts. GEMINI continuously updates CA2Net with contrastive learning, which enables CA2Net to effectively represent speech signals and accurately detect spoofed speeches. Extensive experiments on the ASVspoof2019 dataset show that GEMINI reduces the Equal Error Rate and tandem Detection Cost Function by up to 96.75% and 96.35% in the physical access scenario, and by up to 86.62% and 87.71% in the logical access scenario compared to peer methods.

Perancangan Multimedia Informasi Iklan Layanan Masyarakat “Domestic Abuse” Di Dinas Pemberdayaan Perempuan Perlindungan Anak Dan Keluarga Berencana Jawa Barat

Domestic abuse is a social problem in Indonesia that always be inherent and not easy to deal with, the rate of domestic abuse exploded when pandemic happen in Indonesia. in West Java alone there already 2000 case about domestic abuse that already registered. This number can be pressed if society have the courage and awareness about domestic abuse among them, as a victim or as a witness of the abuse. This multimedia application was designed for facilitate the socialization process of domestic abuse in order to cultivate courage in society to report if they see someone they know is a victim of domestic abuse. So, an information multimedia application of domestic abuse public service advertisements with a case study at the West Java Women's Empowerment, Child Protection and Family Planning Office was created. The methodology used is Multimedia Development Life Cycle (MDLC) that have 6 stages (concept, design, material collecting, assembly, testing, and distribution). The , multimedia application of domestic abuse public service advertisements was designed according to users need obtained from observation and implemented using Adobe Animate CC 2019 with Action Script 3.0 programming language.the testing of this application is using black box testing method show that this application running smoothly and fit to what the user wants. The result of this testing show that the average of the testing result from 3 category (design, feature, and user satisfaction) with 12 test parameters is 4,39 (87,8%).

Preface

2024 International Symposium on Artificial intelligence, Optoelectronics and Optics Technologies (AIOT2024) was held in Nanjing, China on September 13 to 15, 2024. AIOT2024 is hosted by Nanjing University of Science and Technology. The conference functioned as the international academic platform for all the participating experts, scholars, and engineers from all over the world. It enables the academic exchanges concerning the topics of AI and Optical Data Sciences, Optoelectronic Imaging and Multimedia Application, AI, Machine Learning in Optical Sensing, AI in Optical Communications, Optoelectronic Materials Technology, and Imaging and Spectroscopy. AIOT2024 proceeding collects up-to-date and comprehensive research papers focuses on the fields of Artificial intelligence, Optoelectronics and Optics Technologies. All the manuscripts have been peer-reviewed by 2 experts based on topics, significance, originality, logical writing and clarity. The Technical Program Committee members and reviewers contributes to the reviews and decisions of the papers. We would like to express our sincere gratitude to all the keynote speakers, participants, committee members, volunteers, and organizers for their endeavor and contribution on the AIOT2024 conference. The Organizing Committee of AIOT2024 List of AIOT2024 Committee is available in this Pdf.

Development of Flipbook-Based E-Module to Improve Students’ Learning Outcomes in Basketball Course

Limited learning resources for integrating theory and practice in e-module-based physical education, particularly in basketball, present challenges in enhancing student learning outcomes. This study addresses the development and assessment of multimedia-based basketball teaching materials aimed at improving students' understanding and performance in sports education. This research employed a Research and Development (RD) approach with a quantitative design. The developed multimedia basketball game application was evaluated by experts, including basketball coaches and university lecturers from Medan State University, to assess its suitability as a teaching resource. The evaluation process involved both content and media experts. The assessment by basketball learning material experts yielded a score of 87.52%, indicating the application is highly suitable for use in educational settings. Media experts provided a score of 89.70%, further affirming the multimedia basketball application’s effectiveness as a teaching tool. Both evaluations reflect the application’s potential to bridge the gap between theory and practice in basketball education. The findings suggest that the multimedia basketball game application is a viable tool for enhancing basketball education. Its implementation can improve the quality of teaching, support lecturers in delivering complex content, and ultimately enhance students' learning outcomes in sports science. The development of a multimedia-based e-module for basketball is a significant step towards improving the resources available for physical education. The application has been validated by experts and can be effectively integrated into the curriculum to enhance learning in basketball courses.

The Application of Dewey Decimal System in Traditional Libraries

The Dewey Decimal System, created by Melvil Dewey in the late 19th century, has been a linchpin of traditional library classification systems for well over a century. This abstract provides a concise overview of the historical significance, principles, and enduring relevance of the Dewey Decimal System in traditional library settings. The Dewey Decimal System revolutionized the way libraries organized their collections, simplifying the process of locating and accessing books and materials. This paper traces the historical development of the Dewey Decimal System and its profound impact on traditional library cataloging and information retrieval. Key principles, such as the use of decimal notation and hierarchical classification, are explored in detail, highlighting their pivotal role in enhancing library management efficiency. Despite its enduring utility, this abstract also acknowledges the system's limitations. Traditional libraries have faced significant challenges in adapting the Dewey Decimal System to accommodate digital resources, multimedia materials, and non - traditional formats. Furthermore, questions have arisen regarding the system's cultural biases and its ability to adequately represent the diversity of knowledge and perspectives. In today's digital age, traditional libraries confront a unique set of challenges, necessitating a reevaluation of the Dewey Decimal System's role and adaptability. This abstract underscores the ongoing dialogue surrounding the system's relevance and its capacity to meet the evolving needs of modern libraries and information seekers. In conclusion, the Dewey Decimal System remains a cornerstone of traditional library organization, albeit with notable adaptational challenges. This abstract serves as a foundation for understanding the historical and contemporary significance of the Dewey Decimal System within the context of traditional libraries, setting the stage for a more comprehensive examination of its impact and future prospects in the full paper.

Design and Development of a Multimedia Reading Application for Pre-schoolers as a Foundation in the Area of TVET

The greatest time for this is during early childhood schooling, when children are just beginning to become aware of their job options and form an imagination about the careers, they are interested in. In order to prepare pre-schoolers for their future employment, Technical and Vocational Education and Training (TVET) aims to expand their knowledge and skill sets. Technology development also aids in these preschool students' knowledge and skill development in preparation for their future employment, particularly in TVET. At this preschool stage, their reading skills is essential for learning the TVET sector since it aids in their understanding of the subject that piques their interest. Yet, there are a number of reasons why they can struggle to read, including a lack of prior book experience, speech or hearing problems, and a lack of phonemic awareness. This design and development research (DDR) methodology was chosen to assist pre-schoolers in learning to read as a foundational skill in the field of TVET. The researcher focused on the development of multimedia applications for the teaching and learning process using a quantitative approach through ADDIE Model instructional design. The researcher used a random sampling technique to select three academic staff members with the required TVET educational credentials. This sample includes two academics with experience and skill in multimedia creation, as well as a preschool teacher from an appropriate educational institution, so the feedback gained is adequate to obtain precise comments and points of view. Data were acquired and assessed using frequency and percentage values based on a checklist form that was given. To facilitate data analysis, each item is categorised, and frequency information is quantified as a percentage. Professionals who believe that this multimedia application is useful as one of the self-learning mediums have responded favourably to the study's findings about how this multimedia application functions in terms of assisting pre-schoolers in learning to read from the aspects of content design, interaction, and interface. The study's conclusions can be used as a guide by anyone, especially when it comes to encouraging pre-schoolers’ TVET growth.

Aplikasi Edukasi Pengenalan Bahasa Arab Berbasis Augmented Reality Studi Kasus : Madrasah Ardhal-Haq

The field of education is witnessing rapid developments in information technology, with aug-mented reality (AR) emerging as a promising tool for multi-media learning, including Arabic language recognition. Among the Semitic language families, Arabic has the largest number of speakers. Arabic is the sentence that Arabs use to express their intentions and purposes. The form is in the form of hijaiyah letters that are used by Arabs for oral and written social interaction and communication. Madrasah diniyah takmiliyah ardal-haq is located on the main road of pematang moss, betara sub-district, West Tan-jung Jabung district, Jambi Province as one of the elementary schools, at the Ardhal-haq Madrasah, the way of delivering learning is still using simple methods, using books that do not have pictures. it is known that in general students and female students feel bored with Arabic language teaching offered by educational institutions, because students face challenges in understanding written language, including phonetics and syntax. The author chooses to use the MDLC (Multimedia Development Life Cycle) method to conduct research by creating Augmented Reality-based educational applications for Arabic language teaching. This method can be applied to system development in multimedia applications and its stages can be changed based on the research needs, which is why the author used it for system development. The purpose of this research is to facilitate the mastery of Arabic language by students and support instructors of Ardhal-Haq Madrasah in their classroom teaching. With this research produces an Augmented Reality-based Arabic language introduction educational application.

Text2Face: Text-Based Face Generation With Geometry and Appearance Control.

Recent years have witnessed the emergence of various techniques proposed for text-based human face generation and manipulation. Such methods, targeting bridging the semantic gap between text and visual contents, provide users with a deft hand to turn ideas into visuals via text interface and enable more diversified multimedia applications. However, due to the flexibility of linguistic expressiveness, the mapping from sentences to desired facial images is clearly many-to-many, causing ambiguities during text-to-face generation. To alleviate these ambiguities, we introduce a local-to-global framework with two graph neural networks (one for geometry and the other for appearance) embedded to model the inter-dependency among facial parts. This is based upon our key observation that the geometry and appearance attributes among different facial components are not mutually independent, i.e., the combinations of part-level facial features are not arbitrary and thus do not conform to a uniform distribution. By learning from the dataset distribution and enabling recommendations given partial descriptions of human faces, these networks are highly suitable for our text-to-face task. Our method is capable of generating high-quality attribute-conditioned facial images from text. Extensive experiments have confirmed the superiority and usability of our method over the prior art.

Correction‐enabled reversible data hiding with pixel repetition for high embedding rate and quality preservation

AbstractA novel correction‐enabled Pixel Repetition (PR)‐based Reversible Data Hiding (RDH) framework, featuring a new embedding scheme is presented. The proposed RDH scheme uses contextually redundant block pixels, generated via PR, in a two‐phase adaptive embedding process, enhancing both image quality and data embedding rates. Specifically, each block encodes 4 bits of data using new mapping conditions that facilitate seed pixel reconstruction from remaining block pixels and provide additional embedding opportunities. Additionally, an innovative post‐embedding error correction technique, based on ‐bit error‐correction, minimises post‐embedding distortion, further improving image quality. This error correction approach augments data embedding robustness, vital for applications like medical imaging, telemedicine, and digital watermarking that requires high embedding capacity with minimum possible distortion. The proposed scheme surpasses existing state‐of‐the‐art methods in embedding rate‐distortion performance, validated through subjective and objective analyses. Furthermore, statistical analysis, including histogram and fragility testing, confirms the scheme's potential for image authentication across diverse multimedia applications. The correction‐enabled RDH with PR offers enhanced embedding capacity and image quality preservation, making it particularly advantageous for applications requiring robust data hiding while maintaining visual fidelity.

An Implementation of Educational Multimedia Applications in Schools of the Metropolitan Districts

An Implementation of Educational Multimedia Applications in Schools of the Metropolitan Districts