The city of the future envisioned by the author will be shaped by digitalization and connectivity, creating efficiencies through automation. Data from various sources will be key to powering a smart city and achieving development goals. Major improvements are expected in health and education through digital health tools, VR applications, and distance learning technologies. Environmentally, renewable energy generation and storage must advance to power computing needs in a sustainable way. Public safety will benefit from advanced analytics and AI using various data sources to detect and prevent threats. New transportation solutions within and between cities have the potential to improve access, economic growth, and security.
In this presentation, Shiva introduces the topic of IoT and the associated trends. Mobile security is his interest area. His interest areas lie in designing energy efficient smart devices.
In this presentation, Srijan talks about trends in the field of Internet of Things and feels that "Smart farming" and "Smart cities" might be the where the innovation will happen in this space.
A Quintessential smart city infrastructure framework for all stakeholdersJonathan L. Tan, M.B.A.
Smart City Infrastructure Framework provides guidance to open government data and infrastructure essentials for ICT \ Telecom, Energy \ Renewable Energy, Water \ Waste Water, Transportation, Education, Health and Government Services systems
I. Smart City Drivers
Smart City Definition
Smart City Elements
II. Smart City Infrastructure Frameworks
III. Technology Ecosystem
Stakeholders
ICT Essentials
OGD
ICT for Building Automation
Smart Water
Smart Energy
Smart Transportation
Smart Education
Smart Healthcare
Smart City Services
IV. Smart City Applications
V. Smart City Systems Infrastructure
Top SC Vendors
In this presentation, Shiva introduces the topic of IoT and the associated trends. Mobile security is his interest area. His interest areas lie in designing energy efficient smart devices.
In this presentation, Srijan talks about trends in the field of Internet of Things and feels that "Smart farming" and "Smart cities" might be the where the innovation will happen in this space.
A Quintessential smart city infrastructure framework for all stakeholdersJonathan L. Tan, M.B.A.
Smart City Infrastructure Framework provides guidance to open government data and infrastructure essentials for ICT \ Telecom, Energy \ Renewable Energy, Water \ Waste Water, Transportation, Education, Health and Government Services systems
I. Smart City Drivers
Smart City Definition
Smart City Elements
II. Smart City Infrastructure Frameworks
III. Technology Ecosystem
Stakeholders
ICT Essentials
OGD
ICT for Building Automation
Smart Water
Smart Energy
Smart Transportation
Smart Education
Smart Healthcare
Smart City Services
IV. Smart City Applications
V. Smart City Systems Infrastructure
Top SC Vendors
Event Correlation Applications for UtilitiesEnergySec
Today, there is a flood of data pouring into Utilities. From AMI data coming into MDM systems to trading system data, to grid management data, this sea of information makes it easy to lose sight of threats to the core business. Combining this with the additional threat intelligence information necessary to protect your business and the scope of the data problem can quickly become overwhelming. Learn how utility customers are applying event correlation to their AMI events, threat intelligence feeds, and Customer Service System events to protect against security threats, while improving business operations, and reducing costs. Additionally, learn about the fascinating future plans that utility customers have for event correlation such as:
Pushing physical security event correlation beyond meter tampering and into video camera control and integration
Correlating micro-earthquake data with meter tilt tamper events to eliminate false positive security alerts
Measuring voltages across meters and the associated transformer to identify theft and meter tampering
It’s an exciting time of transformation in the Utilities industry and event correlation can help drive efficiency, visibility, and security in your business.
Trends and issues of artificial intelligence in medical application tutors i...Tutors India
The application of artificial intelligence in healthcare often has a number of ethical implications. In the past, human beings themselves made almost all healthcare decisions. In addition, the use of smart devices to produce or assist with them raises questions about responsibility, openness, consent, and privacy.
Latest trends in medical AI
Aside from merely showing superior effectiveness, emerging innovations that reach the medical sector often need to align with existing procedures, obtain sufficient regulatory clearance, and possibly most significantly, encourage medical professionals and patients to engage in a modern approach. Such problems have given rise to many new developments in study and acceptance of Artificial intelligence.
To learn more visit: http://www.tutorsindia.com/blog/
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
A Slideshow made by us for our term work for Enviromental science during our Third Year Engineering in Information Technology at Shah and Anchor Kutchhi Engineering College, Mumbai- India.
APPLICATION OF ARTIFICIAL INTELLIGENCE TO TRACK PLANT DISEASESABHISEK RATH
this explained how artificial intelligence can be used in agriculture and especially in plant pathology i.e., tracking plant diseases, use of robotics, drone in applying chemicals and other aspects.
We are living in the world of “Big Data”. “Big Data” is mainly expressed with three Vs – Volume, Velocity and Variety. The presentation will discuss how Big Data impacts Pharmaceutical Industry and how drug companies can lead this new Big Data environment.
An overview on artificial intelligence and its applications (with focus on medicine and sustainability) from the Teacher Education Day at Lund University and Vattenhallen, Sweden 20211029
Can machines deliver healthcare to you? With the Internet of Things, the healthcare industry can go beyond what was thought possible. Learn how IoT medical devices enabled by rigorous testing can usher in seamless data sharing, clear diagnosis and more in the future of healthcare.
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
In 2006, Cyber Physical Systems (CPS), the new word was invented in the United States [1]. The combination of devices like sensors with embedded systems is quickly receiving its place in cyber world. These devices jointly with the information filed are becoming the main focal point, called as Cyber Physical Systems. This word was found keeping in mind the escaling significance of relations among the mutually related computing systems with the physical world [2]. The author of this paper gives an overview of CPS architecture, its functions and its security threat.
Citation: Navin Dhinnesh ADC, Mepco Schlenk Engineering College. "Cyber Physical System." Global Research and Development Journal For Engineering 34 2018: 12 - 14.
An introduction todisaster information sharing system and its possible util...Tadashi Ise
An introduction todisaster information sharing system and its possible utilization in the aftermath of 2015 Gorkha Earthquake
Urban Safety of Mega Cities in Asia 2015
in Kathmandu, Nepal
October 29-31, 2015
Tadashi ISE (1 and Akhilesh Kumar Karna (2
1) Principal Research Fellow, Disaster Risk Unit,
National Research Institute for Earth Science and Disaster Prevention (NIED), Japan
2) Freelance Engineer,
Sunrise Cityhomes-B2, Anamnagar New Baneshwor, Kathmandu, Nepal
Perfect partnership - machine learning and CDISC standard dataKevin Lee
The most popular buzz word nowadays in the technology world is “Machine Learning (ML).” Most economists and business experts foresee Machine Learning changing every aspect of our lives in the next 10 years through automating and optimizing processes. This is leading many organizations including drug companies to implement Machine Learning into their businesses.
The presentation will start with the introduction of basic concept of Machine Learning, the computer science technology that provides systems with the ability to learn without being explicitly programmed, and it will discuss what it means by “without being explicitly programmed”. The presentation will also introduce basic ML algorithm -SVM, Decision Tress, Regression, Artificial Neural Network (ANN), and DNN. The presentation will also discuss the impact and potential of Machine Learning in our daily lives and pharmaceutical industry.
The presentation will show how CDISC data can be a perfect match on Machine Learning implementation. In this Machine Learning/AI driven process, data is considered as the most important component. 80 to 90 % of works in Machine Learning is preparing data. Since FDA mandated CDISC standards submission as of Dec 17th, 2016, all the clinical trial data are prepared in CDISC SDTM and ADaM data format. The presentation will show how CDISC data is better choice than Real World Evidence (RWE) data for ML model. The presentation will also show how pharmaceutical industry use CDISC data to build ML model and apply ML model for Real World evidence. Finally, the presentation will show how Pharma industry can use their own in-house data and Machine Learning to build innovative, data-driven business models.
AI, IoMT and Blockchain in Healthcare.pdfrectified
The healthcare industry is adopting new technologies such as AI, IoMT, and blockchain to enhance patient outcomes, reduce costs, and improve operational efficiencies. These technologies can revolutionize healthcare by facilitating personalized patient-focused care, improving clinical outcomes, and reducing expenses. However, the implementation of these technologies requires collaboration between healthcare providers, technology companies, and regulatory bodies to ensure patient privacy and data security. This study explores the role of AI, IoMT, and blockchain in public healthcare and their current applications, obstacles, and future research areas. It emphasizes the advantages that these technologies bring to the IoT and the difficulties involved in their implementation.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
Event Correlation Applications for UtilitiesEnergySec
Today, there is a flood of data pouring into Utilities. From AMI data coming into MDM systems to trading system data, to grid management data, this sea of information makes it easy to lose sight of threats to the core business. Combining this with the additional threat intelligence information necessary to protect your business and the scope of the data problem can quickly become overwhelming. Learn how utility customers are applying event correlation to their AMI events, threat intelligence feeds, and Customer Service System events to protect against security threats, while improving business operations, and reducing costs. Additionally, learn about the fascinating future plans that utility customers have for event correlation such as:
Pushing physical security event correlation beyond meter tampering and into video camera control and integration
Correlating micro-earthquake data with meter tilt tamper events to eliminate false positive security alerts
Measuring voltages across meters and the associated transformer to identify theft and meter tampering
It’s an exciting time of transformation in the Utilities industry and event correlation can help drive efficiency, visibility, and security in your business.
Trends and issues of artificial intelligence in medical application tutors i...Tutors India
The application of artificial intelligence in healthcare often has a number of ethical implications. In the past, human beings themselves made almost all healthcare decisions. In addition, the use of smart devices to produce or assist with them raises questions about responsibility, openness, consent, and privacy.
Latest trends in medical AI
Aside from merely showing superior effectiveness, emerging innovations that reach the medical sector often need to align with existing procedures, obtain sufficient regulatory clearance, and possibly most significantly, encourage medical professionals and patients to engage in a modern approach. Such problems have given rise to many new developments in study and acceptance of Artificial intelligence.
To learn more visit: http://www.tutorsindia.com/blog/
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
A Slideshow made by us for our term work for Enviromental science during our Third Year Engineering in Information Technology at Shah and Anchor Kutchhi Engineering College, Mumbai- India.
APPLICATION OF ARTIFICIAL INTELLIGENCE TO TRACK PLANT DISEASESABHISEK RATH
this explained how artificial intelligence can be used in agriculture and especially in plant pathology i.e., tracking plant diseases, use of robotics, drone in applying chemicals and other aspects.
We are living in the world of “Big Data”. “Big Data” is mainly expressed with three Vs – Volume, Velocity and Variety. The presentation will discuss how Big Data impacts Pharmaceutical Industry and how drug companies can lead this new Big Data environment.
An overview on artificial intelligence and its applications (with focus on medicine and sustainability) from the Teacher Education Day at Lund University and Vattenhallen, Sweden 20211029
Can machines deliver healthcare to you? With the Internet of Things, the healthcare industry can go beyond what was thought possible. Learn how IoT medical devices enabled by rigorous testing can usher in seamless data sharing, clear diagnosis and more in the future of healthcare.
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
In 2006, Cyber Physical Systems (CPS), the new word was invented in the United States [1]. The combination of devices like sensors with embedded systems is quickly receiving its place in cyber world. These devices jointly with the information filed are becoming the main focal point, called as Cyber Physical Systems. This word was found keeping in mind the escaling significance of relations among the mutually related computing systems with the physical world [2]. The author of this paper gives an overview of CPS architecture, its functions and its security threat.
Citation: Navin Dhinnesh ADC, Mepco Schlenk Engineering College. "Cyber Physical System." Global Research and Development Journal For Engineering 34 2018: 12 - 14.
An introduction todisaster information sharing system and its possible util...Tadashi Ise
An introduction todisaster information sharing system and its possible utilization in the aftermath of 2015 Gorkha Earthquake
Urban Safety of Mega Cities in Asia 2015
in Kathmandu, Nepal
October 29-31, 2015
Tadashi ISE (1 and Akhilesh Kumar Karna (2
1) Principal Research Fellow, Disaster Risk Unit,
National Research Institute for Earth Science and Disaster Prevention (NIED), Japan
2) Freelance Engineer,
Sunrise Cityhomes-B2, Anamnagar New Baneshwor, Kathmandu, Nepal
Perfect partnership - machine learning and CDISC standard dataKevin Lee
The most popular buzz word nowadays in the technology world is “Machine Learning (ML).” Most economists and business experts foresee Machine Learning changing every aspect of our lives in the next 10 years through automating and optimizing processes. This is leading many organizations including drug companies to implement Machine Learning into their businesses.
The presentation will start with the introduction of basic concept of Machine Learning, the computer science technology that provides systems with the ability to learn without being explicitly programmed, and it will discuss what it means by “without being explicitly programmed”. The presentation will also introduce basic ML algorithm -SVM, Decision Tress, Regression, Artificial Neural Network (ANN), and DNN. The presentation will also discuss the impact and potential of Machine Learning in our daily lives and pharmaceutical industry.
The presentation will show how CDISC data can be a perfect match on Machine Learning implementation. In this Machine Learning/AI driven process, data is considered as the most important component. 80 to 90 % of works in Machine Learning is preparing data. Since FDA mandated CDISC standards submission as of Dec 17th, 2016, all the clinical trial data are prepared in CDISC SDTM and ADaM data format. The presentation will show how CDISC data is better choice than Real World Evidence (RWE) data for ML model. The presentation will also show how pharmaceutical industry use CDISC data to build ML model and apply ML model for Real World evidence. Finally, the presentation will show how Pharma industry can use their own in-house data and Machine Learning to build innovative, data-driven business models.
AI, IoMT and Blockchain in Healthcare.pdfrectified
The healthcare industry is adopting new technologies such as AI, IoMT, and blockchain to enhance patient outcomes, reduce costs, and improve operational efficiencies. These technologies can revolutionize healthcare by facilitating personalized patient-focused care, improving clinical outcomes, and reducing expenses. However, the implementation of these technologies requires collaboration between healthcare providers, technology companies, and regulatory bodies to ensure patient privacy and data security. This study explores the role of AI, IoMT, and blockchain in public healthcare and their current applications, obstacles, and future research areas. It emphasizes the advantages that these technologies bring to the IoT and the difficulties involved in their implementation.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
The role of the internet of things in healthcare future trends and challengesNoman Shaikh
With recent advancements in the Internet of Things (IoT), the sector of healthcare has grown increasingly expanded. Physicians and hospital staff will execute their tasks more conveniently and intelligently thanks to the Internet of Things. There is an unparalleled possibility to improve the quality and productivity of therapies and the patient's well-being and government funding, thanks to this technology-based therapy method.
From 2020 to 2025, the annual growth rate of the global smart city market is 14.8%, reaching US$820.7 billion.
This is the result of a market survey conducted recently by market analysts.
The most interesting aspect of the report did not appear in the data, and the data hardly explained anything. Instead, we should see this in the logic of the ecosystem in which they are located. An ecosystem involving not only public administration and local authorities, but also citizens, utility companies, and technology suppliers (hardware and software) gives us a rough idea of what we expect in the next five years.
Let us understand the results of the research in more detail.
Since the development of advanced metering and digital technology, Smart City has been equipped based on things IOT in different electronic devices, and therefore smarter than before. The purpose of this paper is to carry out the concept of smart cities and their motivation and application of a comprehensive review. In addition, the survey describes the intelligent networking technology and smart cities and major components of urban functions. This also explains the major challenges and experiences around the world. Mukesh Kumawat | Mr. Durgesh Kumar | Dr. Garima Mathur ""IOT Based Smart Cities"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23246.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23246/iot-based-smart-cities/mukesh-kumawat
Internet of Things (Iot) Based Smart Environment and its Applicationsijtsrd
In day to day world the internet of things is one of the emerging technologies. Through wired and wireless medium IOT connects various object which helps the human to interact with objects in both digital as well as physical world. Due to increase of population the services are very challenging for the providers. To overcome those challenges the IOT has developed with many applications. IOT contain the sensor which connects to Bluetooth, Wi-Fi, RFID and also it covers wide area with many technologies like GSM, 3G and GPRS. The IOT devices collect many useful information from various devices and flow the data between many devices. The flow of information can be done without human'“to-human or human'“to-computer interaction. Due to IOT the world will become smart so it is called as smart home, smart cities, smart building and also some applications. Many sectors are connected to RFID technologies like banking, agriculture, education, domestic appliances monitoring, Surveillances, government '“ e services, government '“ e services, traffic surveillance, meteorology and security and emergency. This devices also consist of heat, light, security system with less cost. The online capable devices figure was 31% in 2016. It increased up to 8.4 billion in 2017. The IOT devices will be increased more than 30 billion in the year of 2020. The value of IOT will reach nearly up to $7.1 trillion. In 2019 Enterprise internet of things (EIOT) devices increases up to 9.1 billion. In this paper IOT based smart environment is discussed with its issue. It is used for transport, vehicle parking, waste management, reduce traffic, increase the better communication with road side objects like hospital, school and also with other objects. Devi Kala Rathinam. D | Sherin. J | Santhiya Grace. A"Internet of Things (Iot) Based Smart Environment and its Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15709.pdf http://www.ijtsrd.com/engineering/computer-engineering/15709/internet-of-things-iot-based-smart-environment-and-its-applications/devi-kala-rathinam-d
In this presentation, Sumit introduces IoT and associated trends. Sumit's interest area lies in enabking physical-digital communication that is independent of physical location
Analyzing Role of Big Data and IoT in Smart CitiesIJAEMSJORNAL
Big data and Internet of Things (IoT) technologies have evolved and expanded tremendously and hence play a major role in building feasible initiatives for smart city development. IoT and big data form a perfect blend in bringing an interesting and novel challenge to attain futuristic smart cities. These new challenges mainly focus on business and technology related issues that help smart cities to formulate their principles, vision, & requirements of smart city applications. In this paper, the role of big data and IoT technologies with respect to smart cities is analyzed. The benefits that smart cities will have from big data and IoT are also discussed. Various challenges faced by smart cities in general related to big data and IoT have also been described here. Moreover, the future statistics of IoT and big data with respect to smart cities is also deliberated.
1. BackgroundThe use of artificial intelligence (AI) in smart citiesTatianaMajor22
1. BackgroundThe use of artificial intelligence (AI) in smart cities, its effect on governance, decision-making, innovative discipline, and prospects of revolution have been a topic of discussion in debate and practice recent years. Data generation utilizing AI is possible in government and private sectors exploring new approaches to understand our world. The availability of big data may be effective in optimum usage of resources while making informed decisions. Artificial intelligence and the Internet of Things can positively influence smart decision-making. At present, AI is becoming a need for daily life and organizational procedures as technology has taken great dives in empowering AI advancement. AI contributes to smart cities’ decision making because smart decision-making utilizes a systematic and organized approach to collect data and applies rational decision-making systems rather than using hit and miss, instinct, or generalizing from overall experience.“Smart cities” is a multidimensional notion and has been defined differently by numerous scholars. However, the compulsory prerequisite to being a smart city is to attain sustainable social, environmental, and economic development and improve the living standards of society by utilizing Information and Communication Technology (ICT) and AI. The technological aspect of a smart city in the decision-making process can be defined as “a technologically interconnected city” or the use of artificial intelligence with big data to accomplish the intelligence and efficiency in managing the city’s resource. A study about smart decision-making in smart cities using big data introduced a three-layer framework characterizing a smart city as an “instrumented, interconnected, and intelligence”.The past few years have seen rapid growth in urbanization. According to the economic and social affairs body of the United States, approximately 55 percent of the total population in the world live in urban cities. This number is expected to increase to 68% by 2050 (Allam & Dhunny, 2019). The rapid increase in urban population is expected to exert pressure on sustainable environment initiatives leading to higher demand from the large population. To avoid such pressure, there is a need of coming up with smart cities. According to scholars, smart cities will reduce the environmental pressure caused by the increased urban population by 30% (Allam & Dhunny, 2019). A smart city is described as an urban area that depends on information technology to improve its quality of life, grow its economy and implement government policies (Allam & Dhunny, 2019). Past studies have indicated that there exist three layers that are important for the functionality of a smart city. · The technological base of a smart city entails sensor-equipped devices and smart digital phones that help in communication (Zhang et al., 2021). · There are computers that are used in the digital processing of data to deliver favorable solutions (Zhang e ...
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
2. The city of the future I envision…
Will be shaped by the digitalization and connection of everything, effectively
creating time by automating much of life and maximizing the efficiency of
everything we do. The data will be the most important factor in the smart city and
it will come from city’s agencies, citizens contributing crowdsourced data and IoT
devices installed in different devices, vehicles, building infrastructure, etc. All of
these innovations should be aligned and contribute to the development indicators
& goals1.
I consider the major improvements will be in the following areas:
1
2
3
4
Health & Education Environment
Public Safety Transportation
1 https://openknowledge.worldbank.org/handle/10986/26306
3. • Digital Health. Greater access to
health information, use of wearables
to monitor patients and improve life
expectancy focusing on preventive
treatments.
Non-invasive monitoring wearables
(diabetes, heart, temperature, sleep,
breathing, etc.)
VR for healthcare (remote assistance,
training, psychology treatments for
phobias, depression, PTSD)
Real-time data, analytics and patient
engagement to predict and prevent
diseases.
Nanobots2
• Education. Emerging technologies like
Virtual/Augmented reality and data
analytics will enable cities to deliver
education beyond the classroom
allowing higher impact and better
coverage.
Health & Education
The city of the Future
2http://ieeexplore.ieee.org/abstract/document/6364972/
4. By 2040, computing will need more
electricity than the world can
produce according with ITRS3.
Improvements in green/renewable
energy generation and storage will
be necesary. Governments are
offering programs to facilitate the
transition to this new model and
solutions are getting more
affordable.
Solar panels 4 & Wind.
Solar cycle paths5
Batteries
Analytics
Environment
The city of the Future
3http://www.itrs2.net/itrs-reports.html
4https://www.tesla.com/solarroof
5https://phys.org/news/2014-11-solaroad-world-solar-path-netherlands.html
5. Advance data analytics and
Artificial intelligence will be able to
respond to threats before they
happen. Data will come from city’s
agencies, citizens contributing
crowdsourced data and IoT
devices installed in different
devices, vehicles, drones, building
infrastructure, etc.
Also solutions that can provides
surveillance at low cost will be
critical to accelerate its adoption. 6
Public Safety
The city of the Future
6https://www.technologyreview.com/s/515651/bell-labs-invents-lensless-camera/
6. New ways of transportation
within /between cities:
• Facilitate to citizens
access to job opportunities
and enable new hubs for
companies to offer their
products. In development
countries this solutions
demostrated great benefits
to the cities in terms
economic growth and
security. 7
• Solutions like the
Hyperloop would improve
commuting time between
cities that are less than
900 miles apart.8
TransportationThe city of the Future
7http://www.100resilientcities.org/strategies/city/medellin#/-_/
8 http://www.spacex.com/hyperloop