iParking – Real-Time Parking Space Monitor and Guiding System with Cloud Service

2016 ◽  
pp. 26-33 ◽  
Author(s):  
Ching-Fei Yang ◽  
You-Huei Ju ◽  
Chung-Ying Hsieh ◽  
Chia-Ying Lin ◽  
Meng-Hsun  Tsai ◽  
...  
Keyword(s):  
Real Time ◽  
Cloud Service ◽  
Parking Space ◽  
Guiding System

iParking – a real-time parking space monitoring and guiding system

2017 ◽  
Vol 9 ◽  
pp. 301-305 ◽  
Author(s):  
Ching-Fei Yang ◽  
You-Huei Ju ◽  
Chung-Ying Hsieh ◽  
Chia-Ying Lin ◽  
Meng-Hsun Tsai ◽  
...  
Keyword(s):  
Real Time ◽  
Parking Space ◽  
Guiding System

scholarly journals THE PREDICTION OF PARKING SPACE AVAILABILITY

Transport ◽  
2020 ◽  
Vol 35 (5) ◽  
pp. 462-473
Author(s):  
Helena Brožová ◽  
Miroslav Růžička
Keyword(s):  
Real Time ◽  
Personal Communication ◽  
Navigation Systems ◽  
Parking Space ◽  
Transition Matrices ◽  
Communication Services ◽  
Proposed Model ◽  
Harmful Emissions ◽  
Parking Lot ◽  
Car Park

Intelligent Parking Systems (IPS) allow customers to select a car park according to their preferences, rapidly park their vehicle without searching for the available parking space (place) or even book their place in advance avoiding queues. IPS provides the possibility to reduce the wastage of fuel (energy) while finding a parking place and consequently reduce harmful emissions. Some systems interact with in-vehicle navigation systems and provide users with information in real-time such as free places available at a given parking lot (car park), the location and parking fees. Few of these systems, however, provide information on the forecasted utilisation at specific time. This paper describes results of a traffic survey carried out at the parking lot of supermarket and the proposal of the model predicting real-time parking space availability based on these surveyed data. The proposed model is formulated as the non-homogenous Markov chains that are used as a tool for the forecasting of parking space availability. The transition matrices are calculated for different time periods, which allow for and include different drivers’ behaviour and expectations. The proposed forecasting model is adequate for potential use by IPS with the support of different communication means such as the internet, navigation systems (GPS, Galileo etc.) and personal communication services (mobile-phones).

scholarly journals Dynamic High Availability Architecture Framework for SOA Computing

2018 ◽  
Vol 7 (3.12) ◽  
pp. 740
Author(s):  
S Kumaresan ◽  
Sumithra Devi.K.A
Keyword(s):  
Real Time ◽  
Cloud Service ◽  
High Availability ◽  
Cloud Services ◽  
Loose Coupling ◽  
Cloud Environment ◽  
Architecture Framework ◽  
Generic Architecture ◽  
Multiple Platform ◽  
Complicated Situation

In Software technology stackCloud services provides easy coupling implementation to enhance encapsulation data between multiple platform data exchanges. My finding towards  introducing High Availability Architecture for cloud environment which covers Load Balancing, Failover, High Availability Resources. To achieve thisfeatures it’s identified framework architecture which is called as Dynamic High Availability Architecture Framework for SOA Computing which increase cloud services standard inhigh witheasy adaptable security. Even though cloud service supports loose coupling and isolation business logics. At current cloud service provide wants to launch new web service request on fly same service will notnotified into client in real-time scenario.  To overcome this complicated situation we have introduced (GHAFC) Generic Architecture Framework in Cloud Computing. Which will support data exchanges between producer and consumer onthe fly with real time scenario.

Smart Environmental Monitoring System

2019 ◽  
Vol 10 (1) ◽  
pp. 43-54
Author(s):  
Karthik Sudhakaran Menon ◽  
Brinzel Rodrigues ◽  
Akash Prakash Barot ◽  
Prasad Avinash Gharat
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Urban Areas ◽  
Real Life ◽  
Cloud Service ◽  
Threshold Value ◽  
Time Data ◽  
Multiple Sensors ◽  
Alert Message ◽  
Environmental Monitoring System

In today's world, air pollution has become a common phenomenon everywhere, especially in the urban areas, air pollution is a real-life problem. In urban areas, the increased number of hydrocarbons and diesel vehicles and the presence of industrial areas at the outskirts of the major cities are the main causes of air pollution. The problem is seriously intense within the metropolitan cities. The governments around the world are taking measure in their capability. The main aim of this project is to develop a system which may monitor and measure pollutants in the air in real time, tell the quality of air and log real-time data onto a remote server (Cloud Service). If the value of the parameters exceeds the given threshold value, then an alert message is sent with the GPS coordinates to the registered number of the authority or person so necessary actions can be taken. The Arduino board connects with Thingspeak cloud service platform using ESP8266 Wi-Fi module. The device uses multiple sensors for monitoring the parameters of the air pollution like MQ-135, MQ-7, DHT-22, sound sensor, LCD.

An Architecture for Cloud Service Testing and Real Time Management

2015 ◽  
Author(s):  
Win-Tsung Lo ◽  
Xiao-Long Liu ◽  
Ruey-Kai Sheu ◽  
Shyan-Ming Yuan ◽  
Chun-Yu Chang
Keyword(s):  
Real Time ◽  
Time Management ◽  
Cloud Service ◽  
Service Testing

Research of Distributional Ecology Cloud-Structure

2013 ◽  
Vol 760-762 ◽  
pp. 1758-1761
Author(s):  
Ji Ming Lan ◽  
Shu Jie Lu ◽  
Li Ming Zhang
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Service Management ◽  
Cloud Model ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Structure ◽  
Mass Data ◽  
Multiple Dimension

Proposed that idea of cloud computing ecology development, supports and guiding cloud model deployment, the cloud service management and Clouds protocols observes the purification of mix cloud environment. Has designed the multiple dimension data saving structure and real-time mass-data processing of model as well as the asynchronous overall construction distributional ecology cloud structure. It has been shown that this ecology cloud structure is healthy.

scholarly journals Smart Vehicular Parking System

2020 ◽  
Vol 8 (6) ◽  
pp. 4039-4043
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Real Time ◽  
Cloud Storage ◽  
Specific Aspect ◽  
Full Potential ◽  
Parking Space ◽  
Parking Spot ◽  
Parking System ◽  
Growing Population

In today’s world, ever growing population adds up increasing numbers of cars. Especially, in metro cities with limited spaces for parking, innovative measures are the need of the hour. Our paper focuses on this specific aspect of acute shortage of parking spaces. In this paper, we are proposing a smart vehicular parking model, that takes into account registered or non-registered users parking at the same time. Additionally, it also takes help of image processing to classify the available space based on the size of the vehicle, making it an optimized real-time parking prototype. Using RFID to authenticate each user, the model uses Internet of Things (IoT), cloud storage to makes it convenient for each and every individual to locate and remotely book a parking spot via a smartphone. It works to its full potential by securing cashless transaction via e-wallet. The efficiency of our prototype has been further established by improving parking area by 28 % under any given circumstance. Hence this novel idea excels in every aspect by providing an optimized parking space.

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