10th IEEE International Smart Cities Conference
The 2024 IEEE International Smart Cities Conference (ISC2-2024)
In the era of smart cities, the rapid integration of multimedia data from diverse sources such as surveillance cameras, IoT sensors, and social media platforms presents opportunities and challenges for urban management. This talk, “Multimedia Data Analytics for Smart Cities,” delves into cutting-edge techniques for efficiently processing and analyzing large-scale multimedia data. We will explore three critical applications in deep learning frameworks: anomaly detection, super-resolution, and FPGA-based acceleration.
Anomaly detection is pivotal in ensuring safety and security within smart cities by identifying unusual video and sensor data patterns, such as abnormal traffic behavior or suspicious activities in public spaces. Super-resolution techniques, leveraging advanced deep learning algorithms, enhance the quality of low-resolution images or videos, enabling more precise visualization for better decision-making in areas like traffic management and infrastructure monitoring. Additionally, the talk will discuss the integration of Field Programmable Gate Arrays (FPGA) with deep learning models to accelerate computational tasks, offering a real-time, energy-efficient solution for handling the vast multimedia data streams typical in intelligent cities.
By combining these innovations, this talk will demonstrate how multimedia data analytics can enhance urban planning, improve safety, and foster sustainable city development. The presentation will also cover practical challenges, solutions, and future trends in implementing these technologies at the city-wide scale.
Supavadee Aramvith received a B.S. (first class honors) degree in Computer Science from Mahidol University in 1993. She received her M.S. and Ph.D. in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively. She joined Chulalongkorn University in June 2001. She is an associate professor at the Department of Electrical Engineering specializing in video technology. She has successfully advised 14 Ph.D., 30 Master’s, and 41 Bachelor’s Graduates. She published over 150 papers in International Conference Proceedings and Journals with 4 International Book Chapters. She has rich project management experience as the project leader and former technical committee chair for Thailand’s government bodies in telecommunications and ICT. She is very active in the international arena, having leadership positions in IEEE and NICT ASEAN IVO. She serves as the IEEE Thailand Section Chair, the IEEE Product Safety Engineering Society Board of Governors, the IEEE-HKN Regions 7-10 Governor, the IEEE MGA Chapter Operations Support Committee Chair, and the IEEE Ethics and Member Conduct Committee.
The growth in the number of mobile devices today result in an increasing demand for large amount of rich content to support numerous applications. It is however challenging for the current cellular networks to deal with such increasing demand, both in terms of cost and bandwidth that are necessary to handle the “massive” content generated and consumed by mobile users in an urban environment. This is partly due to the connection-centric nature of current mobile systems. Alternatively, the technological advancement in modern vehicles allow us to harness their computing, caching and communication capabilities to supplement infrastructure network while enabling numerous location-based services towards city smartification. It is now imaginable to recruit connected and autonomous vehicles (CAVs) to collect, store and share heterogeneous data on urban streets in order to provide citizens with a various set of such services. In this talk, our aim is to present some of our past results and future research directions on how to efficiently collect and store contents by and within the vehicles themselves in the vicinity of the consumers, aka the urban mobile user, while reducing bandwidth demand and cost. Hence, we will briefly discuss the necessity to define novel centrality metrics, based on the social interest of urban users, to identify and select the appropriate set of best candidate vehicles to perform urban data sensing and collection in a distributed way. Then, we show how complex networks principles and game-theoretic approaches can be leveraged in order to realize a social-aware data storage system to perform collaborative content caching in an urban environment. Discussing how such solutions, necessitating no infrastructure support, could allow novel usages at smart city’s scale will conclude the talk.
Yacine Ghamri-Doudane is currently Full Professor at the La Rochelle University in France, and the Director of its Laboratory of Informatics, Image and Interaction, L3i (~120 members + ~30 interns per year). Since January 2019, he also holds an Adjunct Professor position at the Walton Institute for Information and Communication Systems Science, South-East Technological University, SETU, Waterford, Ireland. Yacine received an engineering degree in computer science (M.Eng) from the National Institute of Informatics (INI), Algiers, Algeria, in 1998, an M.Sc. degree in signal, image and speech processing from the National Institute of Applied Sciences (INSA), Lyon, France, in 1999, a Ph.D. degree in computer networks from University Pierre & Marie Curie, Paris 6, France, in 2003, and a Habilitation to Supervise Research (HDR) in Computer Science from Université Paris-Est, in 2010. His current research interests lay in the area of wireless networking and mobile computing with a current emphasis on topics related to the Internet of Things (IoT), Connected and Autonomous Vehicles, Edge Computing Systems, 5G and Beyond as well as Digital Trust. Yacine holds three (3) international patents and he authored or co-authored eight (8) book chapters, about 50+ peer-reviewed international journal articles and about 180+ peer-reviewed full conference and workshop papers. Since 1999, he participated or still participates to several national and European-wide research projects in his area of interests. Among them five regional research projects (three ongoing), five national-wide research projects (two ongoing), fourteen European-wide or International-wide research projects (four on-going) as well as three EU COST Actions. He also held several industrial funding with companies like Orange, Nokia, Renault, OODrive, Soft@Home (Orange Group) and PANGA. As part of his professional activities linked to the computer networking research community, Yacine also acts as the Chair of the IEEE Smart Cities Technical Community 2.0 Meetings and Conferences Committee since May 2022. He was also part of the IEEE Smart Cities Initiative Steering Committee from 2014 to 2017 as well as since 2022. He acted as the Chair of the IEEE Communications Society (ComSoc) Technical Committee on Information Infrastructure & Networking (TCIIN – previously TCII) from January 2010 till December 2013 and also chaired the IEEE ComSoc Humanitarian Communications Technologies Ad hoc Committee (HCTC) from January 2012 till December 2015. He is Member-at-Large of the IEEE ComSoc Globecom/ICC Technical Content (GITC) Standing Committee for the 2023-2024 term. He is or had been an editorial board member of the IEEE TVT (ongoing), Elsevier JNCA, Elsevier ComNet, Springer AoT Journals, Wiley WCMC, Guest Editor of IEEE ComMag, IEEE IoT Journal, Springer/EURASIP WCN Journal, co-Editor in Chief of the Elsevier/KICS ICT Express Journal (ongoing) as well as the founding Editor-in-Chief of the IEEE ComSoc Ad Hoc and Sensor Network Technical Committee (AHSN TC) Newsletter. Among other conference involvements, he acted or is still currently acting as the TPC Chair of IEEE LatinCom 2022, IEEE MeditCom 2021, IEEE/IFIP IM 2021, and IEEE CCNC 2015, Symposium co-Chair in IEEE ICC 2009, 2010, 2012, 2018 and 2021 as well as IEEE GLOBECOM 2012 and 2015, Workshop co-Chair for IEEE GLOBECOM 2023, IEEE CloudNet 2024 and IEEE NOMS 2025, as well as Track co-Chair in IEEE CCNC 2023 and 2024 and in IEEE Sensors 2022 and 2023. He is a Senior Member of the IEEE.
When we think to smart city issues, we often concern to digital technologies, regulations, clean or green innovation and modern transportation. Many times, some policy makers or developers have put the smart devices, smart transportation, smart energy and many platforms to the city without the understanding of local people demand. Is it the purpose of the city ? Is it better if we start by happiness of people in the city ?
The topics will be shared by EGAT with their smart city projects. The first one is Mae Moh smart city, that is not the CSR project for “license to operate”, but it’s for existing strategy. EGAT – Mae Moh facility, where is consisted of mining and coal-fired power station have been operated by EGAT since 50 years ago and contribute direct and indirect job hiring 50% of people in Mae Moh District and 22% of GDP of Lampang province at present. EGAT must prepare the local communities before exist from their business operations at Mae Moh. Smart economic has been employed as the lead initiative supported by smart environment, smart energy, smart mobility, smart living, smart people and smart governance with city data platform. The second shared project by EGAT is Mae Hong Son city, where is located far from national transmission grid and the new transmission route cannot be developed due to wide natural reservation area, they have only small distribution line by PEA from Chiangmai and installed beside the road that is well-known as a dangerous route for driver in Thailand. The power outage rate at Mae Hong Son was very bad when compare with other city. EGAT use the smart energy to mitigate people’s pain point supported by smart environment, smart economy, smart mobility, smart people, smart living and smart governance with city data platform.
With the examples, EGAT will remind all of city developers to maintain the purpose of “city” and develop the smart city based on the local people happiness.
The 2024 IEEE International Smart Cities Conference (ISC2-2024)
In recent years, various methods have been used to exploit advances in artificial intelligence (AI), particularly in areas characterized by great diversity. Modern AI approaches are mainly used to support therapies in the fields of medicine, engineering and biomedical engineering, but also in city administration at a local level. This development requires significant adaptations in today’s municipalities to meet the increasingly complex demands of the public. By integrating various resources, including cognitive technologies, machine learning, decision-making processes and recommender systems, municipalities can effectively address critical issues, solve problems and provide better service to citizens. The knowledge and data that is collected plays a crucial role in these approaches and enables more informed and efficient decision-making. However, it is important to be aware of the drawbacks of AI-based systems as they generate knowledge and data from multiple sources, making it difficult to accurately identify potential origins and ensure data integrity.One notable initiative in the smart city sector in this context is the “LOKAL-digital” project, which is funded by the Federal Ministry of Housing, Urban Development and Building in Germany. This project serves as a model for small towns in rural areas with an online platform and content management system to provide information in the form of a digital toolkit and aims to support all citizens, especially older people with care needs, people with disabilities, immigrants and others who struggle with mobility issues. Diversity within a community requires integrated processes, including learning, decision-making and recommender systems, to respond effectively to citizens’ needs. Therefore, different stakeholders also need to be involved in smart city initiatives and digitalization projects.This talk will introduce approaches to integrate different technologies in LOKAL-digital such as sentiment analysis and word association techniques to improve municipal services and support diverse communities. By using these modern AI strategies, municipalities can become more adaptable, inclusive and efficient, ultimately creating smarter cities that meet the needs of all residents.
Madjid Fathi is a professor at the Department of Electrical Engineering and Computer Science, University of Siegen. He is the finder and director of the (KMIS) Institute of Knowledge-Based System and Knowledge Management in 2007. He also established the Research Center for Smart City. Madjid received his M.Sc. in informatics and PhD in mechanical engineering, both from University of Dortmund. He obtained his Habilitation degree in informatics and automation from the University of Ilmenau, Germany. He was a visiting scholar with Professor Zadeh father of Fuzzy Logic at U.C. Berkeley dept. of EECS joined the BISC (Berkeley Initiative of Soft Computing) from 2012 to 2013. His research interests are focused on AI Application in Urban administration and diverse field, knowledge management applications in medicine and engineering, computational intelligence and knowledge discovery from text (KDT). He with his student has published more than 270 papers and four best paper awards. Madjid has eight books, three of them textbooks and five edited books. The last two has been published one 2024, with Prof. Reza Alam at U.C. Berkeley (Integrated system: Innovation and Application, by Springer) and other one in October 2019 with the title: “Computer-Aided Writing” by Springer. He is the editor of the book series “Integrated Systems design & Technology” published by Springer. He is senior member of IEEE and also member of German Professor Association (DHV) and also obtained the cut-e European Innovation Award in 2015.
Today, when climate change is not a topic “to talk about” but a topic “to act on” ,each one needs to take cognisance of our actions and activities in terms of their impact on environment.
COP28 consensus report clearly called to action towards “tripling of renewables”, “doubling of energy efficiency” and “thoughtful transitioning away from fossil fuel.”
Looking at the opportunities of energy transition and decarbonization at city level, at Pune city, we have built an ecosystem of IEEE members, city authorities, NGOS, industry, start-ups and academia to focus on working in the space of Energy and Environmental Engineering.
There are demonstrable case-studies to showcase how technology can be leveraged in not only monitoring energy usage, but also taking corrective steps on switching off the non-priority loads. The data driven AI models predict accurately load demand and perform efficient energy management at the campuses. The use of sensors and smart controllers enable in achieving energy saving to the tune of 25 % , resulting in significant saving in electricity bills. The electricity energy saving is directly linked to scope 2 emission, hence industries use IoT enabled smart energy monitoring and management system. The saving of Electricity in kWh has direct link to minimizing Co2e,
The city regulatory bodies while encouraging rooftop solar PV plants, also encourage towards e-vehicle adaptation. The generation of green power and utilization of the same for charging the electric vehicle becomes an effective way of decarbonization.
The decarbonization efforts are backed up by developing digital solutions using AI and ML tools. The digital predictive tools support city authorities in planning the charging stations as well as installation of solar PV for maximum harnessing of natural sunlight. The smart performance monitoring systems provide required information on the availability of power along with tariff for EV owner.
The way we emphasis on Energy conservation program, Energy saving programs and Energy optimization program, We have started projects in computing carbon footprint of entire campuses. The modules compute environmental KPIs such as water use, green energy generated at the campus, green cover of the campus, amount of waste generated at the campus, electricity consumed at the campus. After computing Emission values , the roadmap is created to minimize the impact. The technology tools are used to expedite the actions to become Carbon Neutral.
Topic covers the case studies and insights achieved along with detailed description of technology used, data analysed, trends of emission factors etc. The city is to be called smart if citizens act smart in terms of their responsibility towards energy and environment.
Topic will cover our efforts in developing technology solutions for energy management, energy efficiency, energy optimization, e-waste management, circular economy, carbon neutral campus.
Dr. Mrs Surekha Deshmukh is an Electrical Engineer, with masters in Power Systems, and PhD in Electrical Engg. She has over 25 years of professional experience. Her current role is Domain Consultant, IoTDE, TCS, Pune. Dr Surekha is a senior member of IEEE (Institute of Electrical & Electronics Engineers), USA and currently a Chair of IEEE Pune Section.
Her areas of interest are Sustainability, Climate Change, Smart City, Artificial Intelligence and Data Analytics, Electrical Safety, Electric Vehicles, Power Market, Power System Operation and Control, Reliability Analysis and Smart Grid.
The 2018 Intergovernmental Panel on Climate Change (IPCC) Report highlighted that achieving the 1.5°C goal would necessitate the world reaching net zero carbon emissions by 2050. Following COP26, nearly 200 countries reached consensus on the Glasgow Climate Pact, aimed at constraining the global temperature rise to 1.5°C and finalizing key aspects of the Paris Agreement. At the onset of COP27, a year later, UN Climate Change Executive Secretary Simon Stiell urged the alignment of “every facet of human endeavor” with the 1.5°C objective, emphasizing the progression from agreement in Paris to planning in Katowice and Glasgow, with implementation now shifting to Sharm El Sheikh. During COP28, UN Secretary General Antonio Guterres asserted that achieving the 1.5°C limit hinges on ultimately ceasing the combustion of all fossil fuels, rather than merely reducing or mitigating emissions, but by phasing them out within a clear timeframe in alignment with the 1.5°C target.
Numerous industries are taking significant steps to achieve this objective. For instance, Apple has pledged to achieve 100 percent carbon neutrality for its supply chain and products by 2030, while other manufacturers have set similar targets. These initiatives are poised to revolutionize society as a whole.
According to the March 2023 IEA Flagship Report on CO2 Emissions in 2022, the power and heat sector contributed to over 42% of the global CO2 emissions. To decarbonize this sector, developers must evaluate their approaches for smooth transition. While planning for large-scale renewable energy projects, it is difficult to maintain stability and resilience of the power systems with phase out and replacement alone of traditional fossil fuel generation.
This presentation discusses the options of orderly transition from fossil fuel to low carbon emission energy resources future.
Professor Lee received the B.S. and M.S. degrees from National Taiwan University, Taipei, Taiwan., and the Ph.D. degree from the University of Texas, Arlington, in 1978, 1980, and 1985, respectively, all in Electrical Engineering.
In 1986, he joined the University of Texas at Arlington, where he is currently a professor and interim chair of the Electrical Engineering Department.
He has been involved in the revision of IEEE Std. 141, 339, 551, 739, 1584, 1584.1, 1584.2 3002.8, and 3002.9 development. He is the past president of IEEE Industry Applications Society (1/2021-12/2022), past chair of IEEE TAB (Technical Activity Board) Climate Change Program (3/2022-12/2023), past project manager of IEEE/NFPA Arc Flash Phenomena Collaborative Research Project (9/2008-12/2022), co-chair of IEEE Sustainable Development Ad Hoc Committee, member of IEEE TAB Hall of Honor, chair of IEEE Smart Grid Program, and a member of United Nations Council of Engineers for the Energy Transition (CEET).
Prof. Lee has been involved in research on Utility Deregulation, Renewable Energy, Arc Flash Hazards and Electrical Safety, Smart Grid, MicroGrid, Industrial Internet of Things (IIoT) and Virtual Power Plants (VPP), AI for Load, Price, and Wind Capacity Forecasting, Power Quality, Distribution Automation, Demand Response, Power Systems Analysis, Short Circuit Analysis and Relay Coordination, Distributed Energy Resources, Energy Storage System, PEV Charging Infrastructure Design, AMI and Big Data, On Line Real Time Equipment Diagnostic and Prognostic System, and Microcomputer Based Instrument for Power Systems Monitoring, Measurement, Control, and Protection.
He has served as the primary investigator (PI) or Co-PI of over one hundred funded research projects. He has published more than two hundred and twenty journal papers and three hundred and ten conference proceedings. He has provided on-site training courses for power engineers in Panama, China, Taiwan, Korea, Saudi Arabia, Thailand, and Singapore. He has referred to numerous technical papers for IEEE, IET, and other professional organizations.
Prof. Lee is a Fellow of IEEE, International Artificial Intelligence Industry Alliance, and Asia-Pacific Artificial Intelligence Association, member of National Academy of Inventors, and registered Professional Engineer in the State of Texas.