Enhancing Technology Systems
Through Service Design and Innovation
Session Chair: Jyun-Cheng Wang, Ph.D.
Affiliation: Institute of Service Science, National Tsing Hua University, Taiwan
Most of the global economy is based on service, which also impacts people’s behavior and sense of well-being in individuals, groups, or ecosystems in a larger context. To characterize, anticipate, and control many aspects of the service experience, interdisciplinary service research has developed. Some external forces, such as advancement in technology, the emerging use of generative-ai, synchronous virtual representation through Digital Twin, the application of immersive technology (mixed reality, extended reality, virtual reality, and augmented reality), and the proliferation of transformative service research and service research design, have highlighted the need to enhance the customer experience and improve service ecosystem well-being. Moreover, the utilization of digital platforms can collect and create interdependencies among service ecosystem actors and engage in a different level of aggregation, including micro, meso, macro, and meta-level. This disruption leads to the orchestration of the service ecosystem in which complementors are engaged in the ecosystem.
Through advancement and utilization of technology, big tectonic changes can influence “servicescapes” and “experiencescapes” in the service context, resulting in technological innovation and diffusions. As these changes have become a global phenomenon, services should evolve to be robust to such persistent disruptions. In this special session, we invite multidisciplinary scholars from different backgrounds: computer sciences, information systems, service science, business and management, technology management, and other related fields, to submit their works to this conference and overcome some problems in the service contexts through technological innovations.
Topics of interest include, but are not limited to:
- Technology Deployment in the Service Context
- Impact of Technology on Customer Experience
- Changing Business Landscape due to Technology Innovation
- The application of emerging technology in service systems, including Generative AI, Extended Reality, Service Robots
- Technology-Enabled Service: Design and Applications
- Recreating Servicescape and Experiencescape in Metaverse Ecosystems
- Smart Service Design
- Service Ecosystem and Circular Economy
- Digital Platform Orchestration and Engagement
- Customer Experience and Engagement in Technology-Enabled Services
- Digital transformation and sustainable development goals
Advancements in Anomaly Detection:
Bridging the Gap in Modern Surveillance Systems
Session Chair: Thittaporn Ganokratanaa, Ph.D.
Affiliation: King Mongkut’s University of Technology Thonburi
The rapid rise of surveillance technology has led to its widespread adoption as a means of enhancing safety and addressing security concerns. Within this context, anomaly detection holds paramount importance for intelligent surveillance systems. Anomalies, or events that deviate from the norm, raise suspicions and require special attention. The intricacies of anomaly detection are particularly pronounced in settings characterized by complexity and congestion. Challenges include pinpointing anomalies within a scene, dealing with limited anomaly datasets, and managing the occurrence of false-positive detections.
Presently, existing solutions for effective anomaly detection are often tailored to specific scenarios, leaving room for improvement, particularly in the realms of detection, localization, and time complexity. This specialized session aims to bring together experts from both academia and industry, spanning various countries, to deliberate and present the latest strides in anomaly detection. Emphasis will be placed on submissions encompassing diverse topics such as object detection, localization, pattern recognition, data analysis, human-computer interaction, and real-world applications of anomaly detection.
Topics of interest include, but are not limited to:
- Image and video anomaly detection
- Detection of anomalies within digital signals and networks
- Localizing abnormal events and deep learning applications in surveillance
- Edge computing in anomaly detection
- Sensor fusion for improved anomaly detection
- Real-time processing of surveillance data
- Machine learning for predictive anomaly detection
- Unsupervised and semi-supervised learning techniques
- Adaptive thresholding for event classification
Antenna, Microwave, and Electromagnetic Research
for Smart Cities and Society
Suramate Chalermwisutkul, email@example.com
Ankita Malhotra, firstname.lastname@example.org
Kirote Arpanutud, email@example.com
The Special Session on Antenna, Microwave, and Electromagnetic Research for Smart Cities and Society addresses the critical role of these fields in advancing wireless communication aligning with evolving related technologies like 6G and the Internet of Things (IoT). Beyond personal communication, these technologies are integral part in the future smart cities which will pave the way toward societal transformation. Examples range from enhancing smart mobility and unmanned avionics to leveraging IoT for industrial productivity. The emergence of smart healthcare, envisioning a shift towards self-care concepts in private facilities alongside hospitals is also an important aspect in aging societies around the globe. The session aims to provide a platform for researchers to present the recent developments in these research areas and engage in discussions that actively contribute to the enhancement of future societies, fostering improved quality of life, environmental protection, and sustainability.
Toward Carbon Neutrality and 100% Renewable Energy (RE100)
Panida Jirutitijaroen, firstname.lastname@example.org
Wijarn Wangdee, email@example.com
This organized session aims to promote the era of power and energy transition toward carbon neutrality and RE100 utilization for a sustainable future. There are many major issues that are needed to take care of and get through in order to achieve this goal. A significant integration of intermittent or variable renewable energy sources such as wind and solar especially in close proximity to consumers’ end (e.g. rooftop solar) has caused a paradigm shift not only in changing from centralized to decentralized operations of power grid, but also in changing from highly controllable to rarely controllable power generations due to an intermittency created by wind and solar power outputs. Furthermore, an explosion of electric vehicle (EV) growth tremendously signifies a sector coupling of the transport and energy sectors. EVs require electricity for their fuel. Therefore, the integration of EVs into power grid, if unmanaged, could adversely increase peak demand triggering significant grid infrastructure upgrades for accommodating more EV penetration. These integration trends collectively pose substantial challenges to power utilities. Utilization of energy storage (ES) and demand response (DR) as a means to manage uncertainty and variability of intermittent power sources will become increasingly important to smoothly drive toward the carbon neutrality and energy sustainability goals.
Advancs in Control Engineering and Application
Kou Yamada, firstname.lastname@example.org
Sudchai Boonto, email@example.com
This organized session aims to promote the exchange of ideas among SICE and ECTI researchers on the latest trends in algorithmic advances and applications of control theories, machine learning, AI, and intelligent control in engineering applications, system analysis, and identification of complex dynamical systems, control design of dynamical systems, hardware and software implementation, system integration of automation systems, efficient operation and effective maintenance, performance monitoring and verification systems, and other related topics are covered.
Cognitive Information Processing and Its Applications
1) Watanabe Katsumi
Waseda University, Japan
2) Roberto Caldara
University of Fribourg, Switzerland
3) Montri Phothisonothai
Kasetsart University, Thailand
Cognitive information currently plays important roles in many applications such as attention, encoding, memory, artificial intelligence (AI), and cognitive computing latest advances in machine thinking. As well as the characteristics of the human visual system, its information and limitations must be first clearly studied, and the artificial systems should be then developed. In this session, we discuss the wide range topics of human cognitive functions, advanments, limitations, and possibility for artificial system development.