TVDP: Translational Visual Data Platform for Smart Cities

2019 ◽  
Author(s):  
Seon Ho Kim ◽  
Abdullah Alfarrarjeh ◽  
George Constantinou ◽  
Cyrus Shahabi
Keyword(s):  
Smart Cities ◽  
Visual Data ◽  
Data Platform

scholarly journals City Data Hub: Implementation of Standard-Based Smart City Data Platform for Interoperability

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 7000
Author(s):  
Seungmyeong Jeong ◽  
Seongyun Kim ◽  
Jaeho Kim
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Life Quality ◽  
Communication Technologies ◽  
Data Platform ◽  
Standard Application ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interfaces

Like what happened to the Internet of Things (IoT), smart cities have become abundant in our lives as well. One of the smart city definitions commonly used is that smart cities solve city problems to enhance citizens’ life quality and make cities sustainable. From the perspective of information and communication technologies (ICT), we think this can be done by collecting and analyzing data to generate insights. The City Data Hub, which is a standard-based city data platform that has been developed, and a couple of problem-solving examples have been demonstrated. The key elements for smart city platforms have been chosen and they have been included in the core architecture principles and implemented as a platform. It has been proven that standard application programming interfaces (APIs) and common data models with data marketplaces, which are the keys, increase interoperability and guarantee ecosystem extensibility.

The Service of Digital Measurable Images in Smart Jiuzhaigou

2012 ◽  
Vol 594-597 ◽  
pp. 2384-2389
Author(s):  
Yun Bai ◽  
Cong Xu ◽  
Zhen Feng Shao
Keyword(s):  
Real Time ◽  
Visual Data ◽  
Time Data ◽  
Management Pattern ◽  
Lack Of Information ◽  
Scenic Spot ◽  
Personalized Services ◽  
Data Platform ◽  
Real Time Data

Along with the acceleration of social informatization and the increase of users' individual requirements, it becomes difficult for the electronic maps to meet the management needs of the smart scenic spots because there lack of information on real time data and participation of tourists. Digital measurable images (DMI) can make up for the disadvantages of electronic maps effectively. While integrating DMI with the electronic maps, a visual data platform and a true 3D visual management pattern can be built, which makes users enable to observe the scenic spot no matter from any perspective angles and provides personalized services for the different needs of different users. This paper mainly discusses the integration of DMI with the electronic maps and specific applications in Smart Jiuzhaigou.

scholarly journals Application of region-based video surveillance in smart cities using deep learning

2021 ◽  
Author(s):  
Asma Zahra ◽  
Mubeen Ghafoor ◽  
Kamran Munir ◽  
Ata Ullah ◽  
Zain Ul Abideen
Keyword(s):  
Deep Learning ◽  
Video Coding ◽  
Video Surveillance ◽  
Smart City ◽  
Smart Cities ◽  
Video Frame ◽  
Visual Data ◽  
High Quality ◽  
City Environment ◽  
Salient Regions

AbstractSmart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is required to be in high quality for efficient analysis which is a challenging task while transmitting videos on low capacity bandwidth communication channels. In latest smart surveillance cameras, high quality of video transmission is maintained through various video encoding techniques such as high efficiency video coding. However, these video coding techniques still provide limited capabilities and the demand of high-quality based encoding for salient regions such as pedestrians, vehicles, cyclist/motorcyclist and road in video surveillance systems is still not met. This work is a contribution towards building an efficient salient region-based surveillance framework for smart cities. The proposed framework integrates a deep learning-based video surveillance technique that extracts salient regions from a video frame without information loss, and then encodes it in reduced size. We have applied this approach in diverse case studies environments of smart city to test the applicability of the framework. The successful result in terms of bitrate 56.92%, peak signal to noise ratio 5.35 bd and SR based segmentation accuracy of 92% and 96% for two different benchmark datasets is the outcome of proposed work. Consequently, the generation of less computational region-based video data makes it adaptable to improve surveillance solution in Smart Cities.

Building a Big Data Platform for Smart Cities: Experience and Lessons from Santander

2015 ◽  
Author(s):  
Bin Cheng ◽  
Salvatore Longo ◽  
Flavio Cirillo ◽  
Martin Bauer ◽  
Ernoe Kovacs
Keyword(s):  
Big Data ◽  
Smart Cities ◽  
Data Platform

scholarly journals Does citizen coproduction lead to better urban services in smart cities projects? An empirical study on e-participation in a mobile big data platform

2021 ◽  
Author(s):  
Barbara Allen ◽  
LE Tamindael ◽  
Sarah Bickerton ◽  
Wonhyuk Cho
Keyword(s):  
Digital Technology ◽  
Smart Cities ◽  
Service Performance ◽  
Mobile Big Data ◽  
Fundamental Goal ◽  
Urban Service ◽  
Data Platform ◽  
Different Types ◽  
Contemporary Development ◽  
The Relationship

With contemporary development of digital technology and smart cities initiatives, citizen co-production has created a new government-citizen interface. However, it remains inconclusive whether such citizen-government collaboration has achieved the fundamental goal of improving service quality for citizens. In this research, we tested the relationship between e-participation as a form of co-production and service performance, using multiple large longitudinal datasets from a smart city mobile platform. The results of the analysis show that citizen e-participation, in providing service feedback, is positively associated with the clearance rate of urban service requests in subdistrict service units, after controlling for various factors. We also found that the effect size of e-participation on service performance varies between different types of city services. E-participation has a stronger relative influence on complex problems that may involve multiple agencies, than with simple routine services.

An Extensive Survey for Context Aware Framework Based Scheduling in Cloud Computing

2018 ◽  
Vol 6 (7) ◽  
pp. 272
Author(s):  
Pardeep Kaur ◽  
Kamaljeet Kaur
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Mobile Cloud Computing ◽  
Smart Cities ◽  
Ease Of Use ◽  
Context Aware ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Data Platform ◽  
Context Aware Service

Cloud Computing is a vast paradigm to operate on remote devices using which one can access any data, platform or any kind of infrastructure.In this paper we have done a survey on the context aware framework that is used in the smart cities. In this paper CAMELO framework is studied along with the advantages and ease of use in it. A context-aware service discovery framework based on mobile cloud computing environment is reviewed in this paper.

scholarly journals RESEARCH ON CONSTRUCTION OF SPATIO-TEMPORAL DATA VISUALIZATION PLATFORM FOR GIS AND BIM FUSION

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 555-563
Author(s):  
S. Q. Dou ◽  
H. H. Zhang ◽  
Y. Q. Zhao ◽  
A. M. Wang ◽  
Y. T. Xiong ◽  
...  
Keyword(s):  
Data Visualization ◽  
Feasible Solution ◽  
Smart Cities ◽  
Spatial Scales ◽  
Technical Support ◽  
Virtual Simulation ◽  
Twin Cities ◽  
Temporal Data ◽  
Data Platform ◽  
Spatio Temporal

Abstract. The visualization model of GIS and BIM fusion can provide data bearing platform and main technical support for future urban operation centers, digital twin cities, and smart cities. Based on the analysis of the features and advantages of GIS and BIM Fusion, this paper proposes a construction method of the spatio-temporal data visualization platform for GIS and BIM Fusion. It expounds and analyzes the overall architecture design of platform, multi-dimensional and multi-spatial scales visualization, space analysis for GIS and BIM fusion, and platform applications and so on. The urban virtual simulation spatio-temporal data platform project of Teda New District in Tianjin has verified and demonstrated that the effect of application is good. This provides a feasible solution for the construction of spatio-temporal Data Visualization Platform.

Visual data security and management for smart cities

2010 ◽  
Vol 4 (3) ◽  
pp. 386-393 ◽  
Author(s):  
Zhenyong Chen ◽  
Wei Fan ◽  
Zhang Xiong ◽  
Pingan Zhang ◽  
Lixin Luo
Keyword(s):  
Data Security ◽  
Smart Cities ◽  
Visual Data
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