SS-01: Innovative Application of Deep Neural Networks in Multimedia Signal Processing
Chair:Jeih-weih Hung, TW (National Chi Nan University, Taiwan)
CoChair:Pei-Jun Lee, TW (National Taiwan University of Science and Technology, Taiwan)
Keywords:MultimediaDeep neural networksAudio signal processing, image processing, and their applications

Abstract:With the proliferation of multimedia data and the increasing complexity of analysis tasks, deep neural networks have emerged as a powerful tool for extracting valuable insights and making automated decisions. This special session aims to bring together researchers from academia and industry to showcase their latest research and discuss the challenges and opportunities for deep neural networks in multimedia processing. We welcome original contributions on topics including but not limited to image and video analysis, speech and audio processing, natural language processing, and multimodal fusion. Submissions will be peer-reviewed and the accepted papers will be published in the conference proceedings. 


SS-02: Emerging Advanced Technologies and Applications for Intelligent Life and Smart City/Township
Chair:Liang-Bi Chen, TW (National Penghu University of Science and Technology, Taiwan)
Co-Chair:Shih-Hsiung Lee, TW (National Kaohsiung University of Science and Technology, Taiwan)
Co-Chair:Ming-Che Chen, TW (Southern Taiwan University of Science and Technology, Taiwan)
Keywords:Artificial intelligence (AI)Artificial intelligence of things (AIoT)Smart citySmart townshipIntelligent agriculture Intelligent aquaculture, Intelligent systems,  Intelligent logistics, Intelligent transportation, Internet of things (IoT)

Abstract:Adopting advanced technologies like artificial intelligence (AI) and the Internet of Things (IoT) has become crucial for developing smart cities, townships, intelligent logistics, intelligent transportation, etc. The continuous evolution of intelligent systems and applications further enhances existing frameworks by integrating emerging techniques such as service design, big data analysis, cloud computing, AI, edge computing, and IoT. These advancements bring about increased convenience and numerous benefits to our daily lives. This special session cordially invites submissions focusing on advanced emerging consumer techniques and applications that contribute to advancing smart city/township domains.

SS-03: Intelligent Systems, Vision and Their Applications
Chair:Wen-June Wang, TW (National Central University, Taiwan)
Cochair:Hsiang-Chieh Chen, TW (National Central University, Taiwan)
Keywords:Artificial intelligenceComputer visionIndustry applications

Abstract:This section focuses on innovative research and technologies related to intelligent systems and computer vision. Intelligent systems cover a broad spectrum of applications in industry, science, engineering, etc. This special section seeks contributions that include intelligent systems, computer vision, intelligent robotics, machine learning, knowledge-based systems, intelligent agents, and community issues relevant to intelligent theory, control, and systems. Research covering recent advances that solve the relevant challenges faced by current and future intelligent systems based on artificial intelligence is also encouraged.

SS-04: Circuits and Systems for Multimedia and Artificial Intelligence Applications
Chair:Yeong-Kang Lai, TW (National Chung Hsing University, Taiwan)
Keywords:Video codecVideo signal processingNeural networkDeep learning and their applicationsMachine learning and its applicationsVLSI architecture

Abstract:With the recent advances in VLSI technology, the high-performance image/video processing for the multimedia and artificial intelligence (AI) applications appears possible. There are two approaches to implement the multimedia and AI processing algorithms. One is to use dedicated architectures. The architectures offer a high performance processing capability, but take considerable time and effort to fabricate and test. Thus, they have less flexibility. The other is to use programmable architectures. Their main advantages are function flexibility and multiprocessing capability. However, the performance is not enough high due to complex architectures. In this special session, these two design methodologies will be discussed for the multimedia and AI processing applications. 

SS-05: Machine Learning, Deep Learning, and AI in Consumer Electronics
Chair:Md. Jalil Piran, KR (Sejong University, Korea)
Keywords: IoT-enabled smart devices and their impact on consumer electronics, AI-driven applications in consumer electronics and IoT ecosystems Digital twins for consumer electronics: Modeling, simulation, and optimization Integration of AI and IoT for enhanced consumer experience and personalized services Security, privacy, and ethical considerations in the era of interconnected devices Data analytics and machine learning techniques for IoT-enabled consumer electronics Novel architectures and frameworks for AI and IoT-enabled consumer devicesCase studies and real-world implementations showcasing the potential of the convergence 

Abstract: Devices can now seamlessly connect and share data thanks to the Internet of Things (IoT). Artificial Intelligence (AI) has enhanced IoT capabilities, enabling intelligent decision-making and autonomous actions. A digital twin is a virtual representation of a physical object or system that can be used to simulate, monitor, and predict. The goal of this special session is to explore the synergistic opportunities and challenges arising from the convergence of these key domains. 

SS-06: Artificial Intelligence Techniques for Internet of Things
Chair:Krishan Kumar, IN (NIT Kurukshetra, India)
Co-Chair:Lalit Kumar Awasthi, IN (NIT Kurukshetra, India)
Keywords:IoTArtificial Intelligence, Video Processing, Multimedia Analysis, Fog Computing

Abstract:Recent developments in Artificial Intelligence (AI) and Internet of Things have shown great promise in a variety of fields including computer vision, Fog computing. Deep Learning (DL) is frequently used in applications such as text sentiment analysis, communication signal analysis, audio recognition, regression problems, image classification, and pattern recognition in IoT devices. In addition to this, video data is another fascinating data type. However, the large size and dimensions of video data make them attractive for research as well. YouTube receives millions of video uploads every day, making it a valuable source of data that has facilitated AI research. Despite having rich data, video data is difficult to analyse and handle due to its large file sizes and complexity. After numerous DL algorithms were created for video processing for diverse applications, research on video processing utilising AI became more and more prominent especially in IoT devices. The goal of this special session is to gather novel contributions (either academicians or industry professionals) on AI and deep learning techniques applied to IoT that advance the field across a diverse cross-section of application domains.

SS-07: Consumer Technologies in Education and Training
Chair:Filippo Gabriele Pratticò, IT (Politecnico di Torino, Italy)
Co-Chair:Abraham Campbell, IE (University College Dublin, Ireland)
Co-Chair:Si Jung Kim, US (University of Nevada, Las Vegas, USA)
Co-Chair:Davide Calandra, IT (Politecnico di Torino, Italy)
Co-Chair:F Max Lu, US (Harvard University Massachusetts, USA)
Keywords:Computer Based Learning, Training, Education, Work force, Development, Soft Skills, Smart Devices, AI, Virtual Augmented and Mixed Reality

Abstract: With the widespread availability and adoption of consumer technologies such as smartphones, wearable dev ices virtual and augmented reality headset s etc. there is a strong need to understand how they can be effectively leveraged to enhance or enable novel learning experiences across various educational and training contexts. In addition, considering the rise of AI and related tools , such as large language models , this is a seminal period in history to explore new use cases for consumer technologies within the considered domain This Special Session will collect contributions about advancements and applications of consumer technologies in education and training scenarios. By attending this Special Session, participants will gain insights into the latest research, innovations, and applications regarding the use of consumer technologies in education and training.


SS-08:  Adaptive Radio Resource Sharing for Real Time Applications in Smart Factory Environment
Chair:Hideki TODE, JP (Osaka Metropolitan University, Japan)
Co-Chair:Yosuke TANIGAWA, JP (Osaka Metropolitan University, Japan)
Keywords:Real Time Application, Smart Factory, Network Control, Radio Resource Sharing, Medium Access Control, Radio Environment Acquisition

Abstract:In a wireless sensor network or wireless LAN environment involving many devices that need to collect and control data within strict delay constraints, such as a smart factory environment, it is necessary to transmit data efficiently while precisely suppressing delay. For example, in the Internet of Things (IoT) for smart factories, data used for automatic guided vehicle (AGV) notification, machine anomaly alerts, actuator operation, video transmission, and human proximity detection must be transmitted within 10–100 ms. This session focuses on novel and smart technologies that meet the above-mentioned requirements, from the perspective of various network controls such as medium access control (MAC) protocols, packet transfer scheduling, radio resource sharing, and so on, in addition to precise acquisition of the target radio environment.

SS-09:  Advanced Cryptography and Its Applications
Chair:Yasuyuki Nogami, JP (Okayama University, Japan)
Co-Chair:Toru Nakanishi, JP (Hiroshima University, Japan)
Keywords:Advanced cryptography Blockchain-related cryptographyPrivacy-enhancing technologiesMachine learning and AI security

Abstract:This special session targets advanced cryptography and its applications. To realize the enhanced security in consumer electronics, it is significant to advance researches on the underlying cryptography and its applications. The scope of this session includes post-quantum cryptography, cryptosystems with advanced functionality, advanced cryptographic primitives and efficient implementations, blockchain-related cryptography, privacy-enhancing technologies, and machine learning and AI security.

SS-10:  Radiation-hardened Techniques and Sensors for Consumer Electronics
Chair:Minoru Watanabe, JP (Okayama University, Japan)
Co-Chair:Akifumi Ogiwara (Kobe city of Kobe City College of Technology, Japan)
Keywords:Radiation sensors, Radiation-hardened radiation sensors, Radiation-hardened devices, Field programmable gate arrays

Abstract:Up to now, we have faced some nuclear accidents in the world just like Fukushima Daiichi nuclear power plant. After such accidents, people require handy radiation sensors in home to measure the radiation level of food, water, atmosphere, house, garden, and so on. This session will mainly discuss some radiation measurement sensors and radiation-hardened devices. Finally, we will discuss how to apply the latest sensor technologies to consumer electronics.

SS-11:  FPGA and Related Applications for Consumer Electronics
Chair:Minoru Watanabe, JP (Okayama University, Japan)
Co-Chair:Hideharu Amano (Keio University, Japan)
Keywords:Field Programmable Gate Array (FPGA), High-speed communication, Artificial Intelligence (AI), High-Level Synthesis (HLS)

Abstract:Field Programmable Gate Arrays (FPGAs) are widely used for a variety of applications, in particular, for consumer electronics. Currently, consumer electronics frequently use an FPGA as a replacement of application specific integrated circuit (ASIC). However, the latest FPGA researches have gone to the great next-generation field beyond such simple ASIC like use. This organized session will discuss the state-of-the-art FPGA researches and related high-performance applications (for example, server applications). Based on the latest FPGA researches, we will discuss how to apply the latest FPGA researches onto consumer electronics.