Optimisation of Energy Consumption in Traffic Video Monitoring Systems Using a Learning-Based Path Prediction Algorithm

2019 ◽  
pp. 370-387
Author(s):  
Papa Samour Diop ◽  
Ahmath Bamba Mbacké ◽  
Gervais Mendy ◽  
Ibrahima Gaye ◽  
Jeanne Roux Ngo Bilong
Keyword(s):  
Energy Consumption ◽  
Video Monitoring ◽  
Prediction Algorithm ◽  
Monitoring Systems ◽  
Path Prediction ◽  
Traffic Video

scholarly journals ASSESSMENT OF COASTAL VULNERABILITY BASED ON THE USE OF INTEGRATED LOW-COST MONITORING APPROACH AND BEACH MODELLING: TWO ITALIAN STUDY

2020 ◽  
pp. 13
Author(s):  
Renata Archetti ◽  
Maria Gabriella Gaeta ◽  
Fabio Addona ◽  
Leonardo Damiani ◽  
Alessandra Saponieri ◽  
...  
Keyword(s):  
Low Cost ◽  
Integrated Approach ◽  
Video Monitoring ◽  
Monitoring Systems ◽  
Swash Zone ◽  
Coastal Vulnerability ◽  
Italian Study ◽  
Shoreline Evolution ◽  
Low Costs ◽  
Run Up

The use of video-monitoring techniques is significantly increased due to the diffusion of high-resolution cameras at relatively low-costs and they are largely used to estimate the shoreline evolution and wave run-up, as important coastal state indicators to be monitored and predicted for the assessment of flooding and erosion risks. In this work, we present an integrated approach based on the results from the low-cost video monitoring systems and the numerical modeling chain by means of SWAN and XBeach to accurately simulate and predict the swash zone processes.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/nLGNneJzmIU

scholarly journals The methodical issues of industrial energy monitoring systems implementation

2020 ◽  
pp. 47-56
Author(s):  
V. Nakhodov ◽  
O. Borychenko ◽  
A. Cherniavskyi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Monitoring System ◽  
Energy Management ◽  
Specific Energy ◽  
Management System ◽  
Specific Energy Consumption ◽  
Monitoring Systems ◽  
Energy Management System ◽  
Energy Monitoring

Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.

Lifetime Maximization by Optimizing the Computation/Communication Strategy for Railway Wireless Monitoring System

2018 ◽  
Author(s):  
Xiaoping Ma ◽  
Honghui Dong ◽  
Xiang Liu ◽  
Limin Jia
Keyword(s):  
Energy Consumption ◽  
Data Processing ◽  
Monitoring System ◽  
Communication Strategy ◽  
Monitoring Systems ◽  
Data Types ◽  
Wireless Monitoring ◽  
Optimization Methodology ◽  
Transmission Energy Consumption ◽  
Inspection Data

For the railway wireless monitoring system, energy efficiency is important for prolonging the system lifetime and ensuring the successful transmission of the inspection data. In general, decreasing the size of the data packet is conductive to declining the transmission energy consumption. Hence, the inspection data packets should be processed before being transmitted. However, the energy consumption of data processing may also be considerable, especially for the vision-based monitoring system. Therefore, we propose an optimization methodology to address the trade-off of the energy usage between data processing and transmission in railway wireless monitoring systems. In addition, the various data types and transmission distances of the sensors may cause the unbalanced energy consumption, and it will shorten the system lifetime due to the failure of some sensors. To address this challenge, in our proposed optimization framework, we adopt customized compression ratios for each sensor to balance its energy consumption. On this basis, the system lifetime can be extended by minimizing and balancing the energy consumption simultaneously. Finally, we use several generalized numerical examples to demonstrate the superiority and practicality of the proposed strategy. Compared to previous methods in the literature, our proposed approach can increase service lifetime of wireless monitoring systems using equal and less energy.

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