scholarly journals Soft Sensor with Deep Learning for Functional Region Detection in Urban Environments

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3348
Author(s):  
Yicao Ma ◽  
Shifeng Liu ◽  
Gang Xue ◽  
Daqing Gong
Keyword(s):  
Smart Cities ◽  
Experimental Testing ◽  
Rapid Development ◽  
Reference Value ◽  
Urban Environments ◽  
Subway Station ◽  
Functional Region ◽  
Feature Map ◽  
Passenger Flow ◽  
Subway Stations

The rapid development of urbanization has increased traffic pressure and made the identification of urban functional regions a popular research topic. Some studies have used point of interest (POI) data and smart card data (SCD) to conduct subway station classifications; however, the unity of both the model and the dataset limits the prediction results. This paper not only uses SCD and POI data, but also adds Online to Offline (OTO) e-commerce platform data, an application that provides customers with information about different businesses, like the location, the score, the comments, and so on. In this paper, these data are combined to and used to analyze each subway station, considering the diversity of data, and obtain a passenger flow feature map of different stations, the number of different types of POIs within 800 m, and the situation of surrounding OTO stores. This paper proposes a two-stage framework, to identify the functional region of subway stations. In the passenger flow stage, the SCD feature is extracted and converted to a feature map, and a ResNet model is used to get the output of stage 1. In the built environment stage, the POI and OTO features are extracted, and a deep neural network with stacked autoencoders (SAE–DNN) model is used to get the output of stage 2. Finally, the outputs of the two stages are connected and a SoftMax function is used to make the final identification of functional region. We performed experimental testing, and our experimental results show that the framework exhibits good performance and has a certain reference value in the planning of subway stations and their surroundings, contributing to the construction of smart cities.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

scholarly journals Design of bio-inspired binocular UAV detection system based on improved STC algorithm of scale transformation and occlusion detection

2021 ◽  
Vol 13 ◽  
pp. 175682932110048
Author(s):  
Huajun Song ◽  
Yanqi Wu ◽  
Guangbing Zhou
Keyword(s):  
Detection System ◽  
Rapid Development ◽  
Reference Value ◽  
Scale Transformation ◽  
Hardware System ◽  
Time Requirements ◽  
Aerial Vehicle ◽  
Spatio Temporal ◽  
Small Targets ◽  
Vision Detection

With the rapid development of drones, many problems have arisen, such as invasion of privacy and endangering security. Inspired by biology, in order to achieve effective detection and robust tracking of small targets such as unmanned aerial vehicles, a binocular vision detection system is designed. The system is composed of long focus and wide-angle dual cameras, servo pan tilt, and dual processors for detecting and identifying targets. In view of the shortcomings of spatio-temporal context target tracking algorithm that cannot adapt to scale transformation and easy to track failure in complex scenes, the scale filter and loss criterion are introduced to make an improvement. Qualitative and quantitative experiments show that the designed system can adapt to the scale changes and partial occlusion conditions in the detection, and meets the real-time requirements. The hardware system and algorithm both have reference value for the application of anti-unmanned aerial vehicle systems.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Research and application of new media urban landscape design method based on 5G virtual reality

2021 ◽  
pp. 1-9
Author(s):  
Guangchao Zhang ◽  
Xinyue Kou
Keyword(s):  
Virtual Reality ◽  
New Media ◽  
Urban Landscape ◽  
Design Method ◽  
Smart Cities ◽  
Rapid Development ◽  
Environmental Design ◽  
Landscape Design ◽  
Living Environment ◽  
The City

In recent years, with the rapid development of VR technology, its application range gradually involves the field of urban landscape design. VR technology can simulate complex environments, breaking through the limitations of traditional environmental design on large amounts of information processing and rendering of renderings. It can display complex and abstract urban environmental design through visualization. With the support of high-speed information transmission in the 5G era, VR technology can simulate the overall urban landscape design by generating VR panoramas, and it can also bring the experiencer into an immersive and interactive virtual reality world through VR video Experience. Based on this, this article uses the 5G virtual reality method in the new media urban landscape design to conduct research, aiming to provide an urban landscape design method with strong authenticity, good user experience and vividness. This paper studies the urban landscape design method in the new media environment; in addition, how to realize the VR panorama in the 5G environment, and also explores the image design of each node in the city in detail; and uses the park design in the city As an example, the realization process of the entire virtual reality is described in detail. The research in this article shows that the new media urban landscape design method based on 5G virtual reality, specifically to the design of urban roads, water divisions, street landscapes, and people’s living environment, makes the realization of smart cities possible.

scholarly journals Characterization of Airborne Bacteria at an Underground Subway Station

2012 ◽  
Vol 78 (6) ◽  
pp. 1917-1929 ◽  
Author(s):  
Marius Dybwad ◽  
Per Einar Granum ◽  
Per Bruheim ◽  
Janet Martha Blatny
Keyword(s):  
Real Life ◽  
Performance Criteria ◽  
Anthropogenic Sources ◽  
Subway Station ◽  
Airborne Bacteria ◽  
Surveillance Systems ◽  
Operational Environment ◽  
Biological Detection ◽  
Content Type ◽  
Subway Stations

ABSTRACTThe reliable detection of airborne biological threat agents depends on several factors, including the performance criteria of the detector and its operational environment. One step in improving the detector's performance is to increase our knowledge of the biological aerosol background in potential operational environments. Subway stations are enclosed public environments, which may be regarded as potential targets for incidents involving biological threat agents. In this study, the airborne bacterial community at a subway station in Norway was characterized (concentration level, diversity, and virulence- and survival-associated properties). In addition, a SASS 3100 high-volume air sampler and a matrix-assisted laser desorption ionization–time of flight mass spectrometry-based isolate screening procedure was used for these studies. The daytime level of airborne bacteria at the station was higher than the nighttime and outdoor levels, and the relative bacterial spore number was higher in outdoor air than at the station. The bacterial content, particle concentration, and size distribution were stable within each environment throughout the study (May to September 2010). The majority of the airborne bacteria belonged to the generaBacillus,Micrococcus, andStaphylococcus, but a total of 37 different genera were identified in the air. These results suggest that anthropogenic sources are major contributors to airborne bacteria at subway stations and that such airborne communities could harbor virulence- and survival-associated properties of potential relevance for biological detection and surveillance, as well as for public health. Our findings also contribute to the development of realistic testing and evaluation schemes for biological detection/surveillance systems by providing information that can be used to mimic real-life operational airborne environments in controlled aerosol test chambers.

scholarly journals A Hybrid Temporal-Spatio Forecasting Approach for Passenger Flow Status in Chinese High-Speed Railway Transport Hub

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhengyu Xie ◽  
Limin Jia ◽  
Yong Qin ◽  
Li Wang
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Distribution Center ◽  
Railway Transport ◽  
High Speed Railway ◽  
Safety Hazard ◽  
Passenger Flow ◽  
Potential Safety ◽  
Correlation Degree ◽  
The Status

With the rapid development of high-speed railway in China, high-speed railway transport hub (HRTH) has become the high-density distribution center of passenger flow. In order to accurately detect potential safety hazard hidden in passenger flow, it is necessary to forecast the status of passenger flow. In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments on actual passenger flow status from a specific bottleneck position and its correlation points in HRTH showed that the proposed approach is effective to forecast the passenger flow status with high precision.

Study on Carbon Emission Calculation Method of Concrete

2018 ◽  
Vol 768 ◽  
pp. 293-305 ◽  
Author(s):  
Chun Zhi Zhao ◽  
Yi Liu ◽  
Shi Wei Ren ◽  
Jiang Quan
Keyword(s):  
Energy Consumption ◽  
Calculation Method ◽  
Carbon Emission ◽  
Rapid Development ◽  
Reference Value ◽  
Calculation Model ◽  
Emission Data ◽  
Continuous Growth ◽  
Boundary Definition ◽  
Concrete Production

along with the rapid development of commercial concrete industry and the continuous growth of concrete demand, the commercial concrete production has brought large energy consumption and mineral resource consumption; cement calcination and direct/indirect energy consumption within the boundary of ready-mixed concrete system have become the main source of concrete greenhouse gas. This paper mainly settles key problems such as boundary definition, data collection, calculation model, data acceptance/rejection and data calculation method concerned with concrete carbon emission calculation, establishes the national uniform concrete carbon emission calculation method and emission factor within the same cultural boundary, and provides theoretical and data calculation basis for determining the reference value and grade of concrete carbon emission. As for other products, the carbon emission of unit product may also be calculated by reference to this paper; therefore, inherent carbon emission data of buildings are accumulated, providing quantized data support for taking measures to reduce the carbon emission intensity.

Influence of Ground Structure on the Seismic Response of Underground Subway Station in Soft Site

2011 ◽  
Vol 368-373 ◽  
pp. 2769-2775 ◽  
Author(s):  
Hui Long ◽  
Guo Xing Chen ◽  
Hai Yang Zhuang
Keyword(s):  
Seismic Response ◽  
Underground Structure ◽  
Outer Part ◽  
Subway Station ◽  
Analysis Model ◽  
Ground Structure ◽  
Element Analysis ◽  
High Rise ◽  
Underground Subway Station ◽  
Subway Stations

This paper selected representative soft site along the subway lines and created two-dimensional overall finite element analysis model about nonlinear dynamic interaction among soil, underground subway station, and ground structure based on Nanjing underground subway station. It explored the seismic response influence of neighboring high-rise structure on the two-layer and three-span island-type underground subway stations. The results showed that the structure near the subway station had a significant constraint effect on the deformation of subway station which is oriented to the structure, and the influence of deformation of subway station which is backward to the structure is related to vibration characteristics of the soil-underground structure interaction system. The influence of neighboring ground structure on the strain stress response of subway station is useful in most part of important nodes. However, this influence is disadvantageous in the outer part of connections of side walls and plates and middle plate-interior column connections.

scholarly journals Traffic simulation of queueing systems in the ANYLOGIC application with an example of passenger flow of the subway station

2018 ◽  
Vol 2018 (3) ◽  
Author(s):  
V. M. Antonova ◽  
◽  
N. A. Grechishkina ◽  
N. A. Kuznetsov ◽  
N. A. Sukhorukova ◽  
...  
Keyword(s):  
Traffic Simulation ◽  
Queueing Systems ◽  
Subway Station ◽  
Passenger Flow

scholarly journals Erősítik-e a társadalmi kirekesztést a smart cityk?

2017 ◽  
Vol 16 (3) ◽  
pp. 83
Author(s):  
László Gere ◽  
Ráhel Czirják
Keyword(s):  
Urban Development ◽  
Smart City ◽  
Development Policy ◽  
Smart Cities ◽  
Rapid Development ◽  
The Other ◽  
Global Competition ◽  
Development Projects ◽  
City Development ◽  
The One

A fejlesztéspolitikában ma a „smart” címkével minden vonzóbb, eladhatóbb, a kifejezés sokszor a ’környezetbarát’ vagy ’fenntartható’ szinonimájaként is használatos. A városfejlesztésben az utóbbi idők egyik legfelkapottabb paradigmája, globális szintű versengést indítva mind a városok, mind az érdekelt vállalatok között a kölcsönösen hasznosnak vélt előnyök reményében. A szerzők egyrészt annak jártak utána, miért éppen most virágzott fel a smart city mint fejlesztési paradigma, és milyen tényezők indukálták gyors előretörését. Másrészt a nemzetközi példák bemutatásán keresztül arra a kérdésre keresik a választ, milyen társadalmi hatásokkal járnak ezek a fejlesztések, milyen kihívásokkal kell szembenézni a smart city fejlesztések kapcsán, és vajon a jövőben a fejlesztési szereplők képesek lesznek-e tanulni hibáikból, és tudatosan tervezni a hatások összességével. --- Do smart cities intensify social exclusion? In development policy everything seems to be more attractive and marketable when labelled ‘smart’; the expression is often used even as a synonym for ‘environmentally-friendly’ or ‘sustainable’. Considering urban development projects, smart city development is one of the most popular paradigms, triggering global competition between cities as well as the interested companies, both expecting mutual benefits from the co-operation. The article, on the one hand, tries to reveal, why the smart city paradigm has now started to thrive, and what factors played a part in its rapid development. On the other hand, through the presentation of international practices, the authors intend to answer what social impacts these developments have had, what challenges have the smart city developments met, and whether in the future the actors could learn from their mistakes and consciously take into account the complexity of impacts.

Sign in / Sign up

Export Citation Format

Share Document