Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud
See webinar recording of this presentation at: https://resource.alibabacloud.com/webinar/live.htm?&webinarId=63
Get an overview of how ET City Brain utilizes comprehensive real-time city data to optimize public resources by instantly correcting defects in city operations. Leading to numerous breakthroughs in city management models, service models, and industrial development, ET City Brain provides an open and innovative platform that empowers industry partners and ISVs alike to build better business applications that can be used in tandem with ET City Brain.
Learn more about Alibaba Cloud’s different ET Brains:
https://www.alibabacloud.com/et
Xuan Jin
Head of Cloud Architects – Alibaba Cloud UK
Xuan Jin is an experienced solutions architect and technology evangelist. He then started his career in software engineering in Oracle UK and progressed to tech lead in software engineering and SRE in companies including Cisco.
Developed Model with Integrated Project for Sustainable Cities & CommunitiesTanzeemReza
The 11th of Sustainable Development Goals (SDG’s) specifies the major discontinuities to gain sustainable cities or communities. The aim of this project is to develop a feasible system regarding the sub-goals of SDG 11 and make a significant change to make better cities or communities in Bangladesh. The cities in Bangladesh have several strains. Among various strains in the city areas of Bangladesh, traffic prone & insecure transport systems, non-fire-resistant infrastructure etc are the major problems. Therefore, to gain a viable city, an integrated smart city along with a Fire-resistant infrastructure project and an Integrated Transport Security System project is approached, focusing on removing the barriers to the wellbeing of the community.
Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud
See webinar recording of this presentation at: https://resource.alibabacloud.com/webinar/live.htm?&webinarId=63
Get an overview of how ET City Brain utilizes comprehensive real-time city data to optimize public resources by instantly correcting defects in city operations. Leading to numerous breakthroughs in city management models, service models, and industrial development, ET City Brain provides an open and innovative platform that empowers industry partners and ISVs alike to build better business applications that can be used in tandem with ET City Brain.
Learn more about Alibaba Cloud’s different ET Brains:
https://www.alibabacloud.com/et
Xuan Jin
Head of Cloud Architects – Alibaba Cloud UK
Xuan Jin is an experienced solutions architect and technology evangelist. He then started his career in software engineering in Oracle UK and progressed to tech lead in software engineering and SRE in companies including Cisco.
Developed Model with Integrated Project for Sustainable Cities & CommunitiesTanzeemReza
The 11th of Sustainable Development Goals (SDG’s) specifies the major discontinuities to gain sustainable cities or communities. The aim of this project is to develop a feasible system regarding the sub-goals of SDG 11 and make a significant change to make better cities or communities in Bangladesh. The cities in Bangladesh have several strains. Among various strains in the city areas of Bangladesh, traffic prone & insecure transport systems, non-fire-resistant infrastructure etc are the major problems. Therefore, to gain a viable city, an integrated smart city along with a Fire-resistant infrastructure project and an Integrated Transport Security System project is approached, focusing on removing the barriers to the wellbeing of the community.
Increasing traffic in major urban regions leads to congestion which challenges cities and urban regions in terms of mobility, pollution and safety. ITS is application of information and communications technology (ICT) to the transport sector in the interests of safer, more sustainable & more efficient movement of goods & people.
The integration of intelligent infrastructure and intelligent vehicles had gained wide acceptance yet understanding the various options without incurring unnecessary expenditure is core in ITS planning and implementation. The presentation explains various ITS portfolios, value chain and life-cycle management with focus on the appropriate level of integration.
Business intelligence on the chinese greentech marketEC2i
EC2i objective is to support the internationalisation of European Cleantech SMEs in China and the United States by conducting cluster missions and facilitating cross-cluster partnerships. In this sense, attention is paid to developing tools to guide SMEs through the process of forming consortia and developing projects with clients.
Business intelligence for relevant US and Chinese markets have been collected in reports and are here disseminated to SMEs.
The tools presented here address general barrieres to internationalisation as well as more specific problems SMEs face when integrating themselves into complex, international value chains.
Traffic Density Control and Accident Indicator Using WSNIJMTST Journal
Now a day’s many of the things get controlled automatically. Everything is getting controlled using the mechanical or the automated systems. In every field machines are doing the human works. But still some area is controlled manually. For example traffic controls, road control, parking controlling. Keeping these things in mind we are trying to develop the project to automate the traffic tracking for the square. To make any project more useful and acceptable by any organization we need to provide multiple features in a single project. Keeping these things in consideration proposed system is less with multiple methodologies which can be used in traffic control system It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing these roads. This paper presents emergency vehicle alert and traffic density calculation methods using IR and GPS
In recent years usage of private vehicles create urban traffic more and more crowded. As result traffic becomes one of the important problems in big cities in all over the world. Some of the traffic concerns are traffic jam and accidents which have caused a huge waste of time, more fuel consumption and more pollution. Time is very important parameter in routine life. The main problem faced by the people is real time routing. Our solution Virtual Eye will provide the current updates as in the real time scenario of the specific route. This research paper presents smart traffic navigation system, based on Internet of Things, which is featured by low cost, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously.
Smart City, Internet de las cosas al servicio de los ciudadanos - Jorge GuerraLab San Isidro
Presentación realizada por coordinador del Núcleo de Investigación e Innovación Tecnológica (NIIT) Robótica e Internet de las Cosas de la Facultad de Sistemas e Informática de la Universidad Nacional Mayor de San Marcos, en el marco de la Semana Nacional de la Ciencia, organizada por el Consejo Nacional de Ciencia y Tecnología - CONCYTEC.
Automated signal pre-emption system for emergency vehicles using internet of ...IAESIJAI
Vehicle administration systems are one of the major highlights especially in urban areas. One important critical component that requires attention are signal preemption systems. Every single work on traffic congestion identification either requires prior learning or long time to distinguish and perceive the closeness of congestion. FutureSight performs predictive analysis and control of traffic signals through the application of machine learning to aide ambulances in such a way that, a signal turns green beforehand so as to ensure an obstacle free path to the ambulance from source to destination based on various parameters such as traffic density, congestion length, previous wait times, arrival time thereby eliminating the need for human intervention. The method allows flexible interface to the driver to enter the hospital details to reach the destination with in time. The app then plans out the fastest route from the pickup spot to the selected hospital and sends this route to the system. The system then predict the amount of time that is required by the signal to remain green so as to clear all traffic at that specific junction before the ambulance arrives at that location.
Smart taxi security system design with internet of thingsTELKOMNIKA JOURNAL
Safety is an important thing in driving. Security in driving is aimed at the way of driving the vehicle or the security on the vehicle itself. Vehicle assets, especially cars, that are quite expensive or luxurious assets Therefore, safety protections for such vehicles are necessary. Taxi is a valuable asset for the company. To maintain the asset, a good security system is needed. With a good security system, the asset will be protected and the investments invested will not be reduced. By using the prototype method, a tool will be made in accordance to the wishes of the user. The Encludean distance method is used to calculate the distance of the incident and the nearest police station. By using the progress of technology, the progress can be utilized to help the security of taxi owned by a company or personal (online). The purpose of this study is to create a tool that can secure the taxi and its driver of crimes that might occur. IoT (internet of things) can help to secure a taxi since it is able to locate the incident’s location precisely and accurately.
Increasing traffic in major urban regions leads to congestion which challenges cities and urban regions in terms of mobility, pollution and safety. ITS is application of information and communications technology (ICT) to the transport sector in the interests of safer, more sustainable & more efficient movement of goods & people.
The integration of intelligent infrastructure and intelligent vehicles had gained wide acceptance yet understanding the various options without incurring unnecessary expenditure is core in ITS planning and implementation. The presentation explains various ITS portfolios, value chain and life-cycle management with focus on the appropriate level of integration.
Business intelligence on the chinese greentech marketEC2i
EC2i objective is to support the internationalisation of European Cleantech SMEs in China and the United States by conducting cluster missions and facilitating cross-cluster partnerships. In this sense, attention is paid to developing tools to guide SMEs through the process of forming consortia and developing projects with clients.
Business intelligence for relevant US and Chinese markets have been collected in reports and are here disseminated to SMEs.
The tools presented here address general barrieres to internationalisation as well as more specific problems SMEs face when integrating themselves into complex, international value chains.
Traffic Density Control and Accident Indicator Using WSNIJMTST Journal
Now a day’s many of the things get controlled automatically. Everything is getting controlled using the mechanical or the automated systems. In every field machines are doing the human works. But still some area is controlled manually. For example traffic controls, road control, parking controlling. Keeping these things in mind we are trying to develop the project to automate the traffic tracking for the square. To make any project more useful and acceptable by any organization we need to provide multiple features in a single project. Keeping these things in consideration proposed system is less with multiple methodologies which can be used in traffic control system It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing these roads. This paper presents emergency vehicle alert and traffic density calculation methods using IR and GPS
In recent years usage of private vehicles create urban traffic more and more crowded. As result traffic becomes one of the important problems in big cities in all over the world. Some of the traffic concerns are traffic jam and accidents which have caused a huge waste of time, more fuel consumption and more pollution. Time is very important parameter in routine life. The main problem faced by the people is real time routing. Our solution Virtual Eye will provide the current updates as in the real time scenario of the specific route. This research paper presents smart traffic navigation system, based on Internet of Things, which is featured by low cost, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously.
Smart City, Internet de las cosas al servicio de los ciudadanos - Jorge GuerraLab San Isidro
Presentación realizada por coordinador del Núcleo de Investigación e Innovación Tecnológica (NIIT) Robótica e Internet de las Cosas de la Facultad de Sistemas e Informática de la Universidad Nacional Mayor de San Marcos, en el marco de la Semana Nacional de la Ciencia, organizada por el Consejo Nacional de Ciencia y Tecnología - CONCYTEC.
Automated signal pre-emption system for emergency vehicles using internet of ...IAESIJAI
Vehicle administration systems are one of the major highlights especially in urban areas. One important critical component that requires attention are signal preemption systems. Every single work on traffic congestion identification either requires prior learning or long time to distinguish and perceive the closeness of congestion. FutureSight performs predictive analysis and control of traffic signals through the application of machine learning to aide ambulances in such a way that, a signal turns green beforehand so as to ensure an obstacle free path to the ambulance from source to destination based on various parameters such as traffic density, congestion length, previous wait times, arrival time thereby eliminating the need for human intervention. The method allows flexible interface to the driver to enter the hospital details to reach the destination with in time. The app then plans out the fastest route from the pickup spot to the selected hospital and sends this route to the system. The system then predict the amount of time that is required by the signal to remain green so as to clear all traffic at that specific junction before the ambulance arrives at that location.
Smart taxi security system design with internet of thingsTELKOMNIKA JOURNAL
Safety is an important thing in driving. Security in driving is aimed at the way of driving the vehicle or the security on the vehicle itself. Vehicle assets, especially cars, that are quite expensive or luxurious assets Therefore, safety protections for such vehicles are necessary. Taxi is a valuable asset for the company. To maintain the asset, a good security system is needed. With a good security system, the asset will be protected and the investments invested will not be reduced. By using the prototype method, a tool will be made in accordance to the wishes of the user. The Encludean distance method is used to calculate the distance of the incident and the nearest police station. By using the progress of technology, the progress can be utilized to help the security of taxi owned by a company or personal (online). The purpose of this study is to create a tool that can secure the taxi and its driver of crimes that might occur. IoT (internet of things) can help to secure a taxi since it is able to locate the incident’s location precisely and accurately.
Real time statistics of daily/weekly/monthly/yearly incidents, Real time statistics of dispatched resources, real time display of incidents lists, on-going incidents, extra
All in one of CCTV monitoring, Patrol car tracking, Emergency call taker and dispatcher, data analysis for disaster, emergency response, crime response or etc on digital map
Smart system to respond the emergency of crime, disaster, and fire, ambulance to support public safety
sistema smart de respuesta de emergencia por crime, desastre, y fuego, ambulacia para mejorar la ciudad publico.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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Learn about:
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• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
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https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Ⅰ. About Sejong City
Ⅱ. Sejong Smart City Project
Ⅲ. About Us
Ⅳ. What We do
Ⅴ. Future Plan
Contents
3. Population
283,110
(as of December. 2017)
Located in the center of the nation
accessible from any major city
Within 2 hours
Seoul-Busan
Expressyway
Jungbu Expressway
Dangjin-Youngdeok
Expressway
Dangjin · Pyeongtaek Port
Seosan · Daesan Port
Taean Port
Boryeong Port
KTX Osong Station
KTX Daejeon Station
Gyeongbu Railway Jochiwon St.
Incheon Int’l Airport
Cheonggu Int’l Airport
Government Driven,
Special Self-governing City
(Inaugurated on July 2012)
Sejong Area
464.8 ㎢
¾ of Seoul Metropolitan
1 town 9 townships
14 neighborhoods
It is the core axis of balanced national development, the largest planned city,
the de facto administrative capital
(55 Government Ministries & National Research Institutes / around 18,300 employees)
Sejong City
NewCenter of the RepublicofKorea,Sejong City
Ⅰ. About Sejong City
Quality Residential Environment with the widest green space (52%),
the first-of-its-kind Ring Type city
4. Sejong Smart City Center
Bestsecurityserviceforcitizens’safety
An watchman for citizen’
safety and security is provide
timely assistance within the
‘emergency golden hours’
Operating for 24 hours
and 365 days,
Sejong Smart City Center is
a night watchman for
“Sleepless Sejong”
Rapid notification when
emergencies take place such as
Traffic accidents or weather conditions
through realtime traffic info service for
“Friendly, Prompt, Informative Sejong”
Sejong Smart City Center
is closely coping with
112 and110
In case of emergency for
“Safe Sejong.”
II. Sejong Smart City Project
5. Trace ofSejong Smart CityCenter
2012
Sejong Smart City Center
Established
Completed on
April, 5
2014
Operation started for crime
prevention And traffic control
Operation started
as of January 1 21 Staff at present(began with 9)
2016
Acquired international certification
Acquired (BCMS, ISO22301)
in October 2016
Early stabilization of the operation continuity
Management system, another step towards
For “International Safe Community”,
a WHO initiative.
“We conduct a Disaster Response Training
every month”
II. Sejong Smart City Center
Construction start-up on Nov. 9, 2011
6. Progress ofSejong Smart City Project
Step 1
Step 2
Step 3
Our goal is to build an Eco-friendly and Sustainable City to
improve the city’s competitiveness and the quality of life by
Converging ICT and green technologies
Government Complex , cheot maeul,
Major Commercial Areas
National Research Center Area,
Sejong City hall areas
Medical & Welfare,
Tech-Industrial Area
2011 ~ 2017 completed
( to be determined)
II. Sejong Smart City Center
2014 ~ 2017 completed
Sejong TechValley area
2017 ~ ongoing
※ Approximately USD 137.9 million is to be spent by 2030
(43% Completed at present)
7. AboutUs
Number of Staff : 31
Civil servant : 9
Police officer : 1
Controller : 21
(4 teams 3 shifts)
Number of
Surveillance Cameras: 1,690
For security : 1,566
(Including 171 in children safe
zone)
For vehicle identification: 124
Traffic Surveillance Cameras : 51
Electronic Display Boards for Traffic Information
(VMS, Variable Msssage Sign) : 13
Bus Information system(BIT, Bus Information Teminal) : 344
Traffic information collecting Devices : 101
(VDS, Vehicle Detection System) / (RSE, Road Side Equipment)
※Videofootagestoredfor30days
Ⅲ. About Us
Emergency bell: 801
8. Intensive Monitoring at school
commuting time
Using speakers for public announcement
or music especially for vulnerable areas
Automatically identifying wanted
and defaulted vehicles
A safety watchman for
Sejong Citizens
Responding immediately and communicating
directly by using emergency bells under
surveillance cameras
Dealing with emergencies
on the road
Porviding bus arrival
time and traffic flow
information
Collecting real-time
traffic information
Controlling traffic signals in accordance
with traffic conditions
WhatWe do IV. What We do
Operates 14 types of U-service system
9. Whatwedo
Security service forcitizen’s safety
Working with other
organizations
Public Announcement
Abnormal sound detector
Emergency
Bell
Smart City
Center
Emergency Video
Emergency Alarm
Emergency Dispatch
order
Emergency
situation
SchoolCommuting time(am 7:30~8:50, pm 14:00~17:30)
IntensiveMonitoringatnighttime,Crime-phoneareas
Playing music or public announcement
(for a missing child or No littering)
- service time : 05:00~08:00, 19:00~22:00
Real time automatic identification for wanted
vehicles through database connection with
other related organizations
Maximizing monitoring efficiency by closely
working with 112(police) and 119(emergency
services)
ImmediateResponse(twowaycommunication)byusing
emergencybellsinstalledatsurveillancecameras
IV. What We do
10. Whatwedo
Traffic service Information Service forResident’s Convenience
Providing information about bus
arrival time and traffic flow
information
Collecting information Emergency
Collect info. In real time
Smart City CenterManaging traffic
information(collection/proce
ssing/policy making) and
Interface with other
institutions
Collecting and
providing
parking
information
Coping with emergency
or abnormal situations
Keeping accuracy of BRT by minimizing
lag time at intersections
IV. What We do
11. WhatWe do
Disaster Response Service forcitizen’ssafety
Fire prevention system is set
connected to
the 119 fire control center.
Flood Prediction : early response is
possible through real-time data
monitoring
IV. What We do
Wildfire Monitoring: thermo-graphic
cameras are installed, and automatic alarms
are set(connected to 119 fire stations)
Fog Alarms : detectors are set near
bridges over Geumgang river
to collect fog data and
provide alarms.
Atmospheric Information Services:
real-time data provision such as
fine dust and ozone concentration
12. WhatWe do
Safety Experiential Activities available for
children, students, and citizens
이미지
OperationofU-citypromotionhall
IV. What We do
13 volunteers are ready to provide local and
international visitors with gridance
(foreign languages available)
Operationofagroupofvolunteerworkers
13. Achievement ofthe Sejong Smart City Center
2,063
467cases of
addressing civil complaints
(illegal littering, lost items, burglary etc.)
88
40
2,812Visitors
(inclu.495internationalvisitors)
IV. What We do
(from jan. 2015 to today)
14. Future PlanofSejong Smart CityCenter
112/119 rescue support, video footage,
support for social vulnerable groups, etc.
Trial operation and extension of 9 services developed by
Ministry of Land, Infrastructure and transport
Extension of music service except residential zones and additional
public announcement(for missing children and no littering, etc)
Reinforcement of crisis response drills(emergency operation) and
Constant improvement of risk factors through site inspection
Provide five safety services
Establish Smart City experimental test bed
Expand music playing service
Improve skills and competencies of controllers
Ⅳ. Future Plan