Knowledge-Driven Adaptive Production Management Based on Real-Time User Feedback and Ontology Updates

2013 ◽  
Author(s):  
Daria Kazanskaia ◽  
Sergey Kozhevnikov ◽  
Vladimir Larukhin ◽  
Petr Skobelev ◽  
Alexander Tsarev ◽  
...  
Keyword(s):  
Real Time ◽  
Production Management ◽  
User Feedback

scholarly journals A Multimodal Gamified Platform for Real-Time User Feedback in Sports Performance

2016 ◽  
Author(s):  
David Monaghan ◽  
Freddie Honohan ◽  
Amin Ahmadi ◽  
Troy McDaniel ◽  
Ramin Tadayon ◽  
...  
Keyword(s):  
Real Time ◽  
User Feedback ◽  
Sports Performance

scholarly journals Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera

2020 ◽  
Vol 12 (9) ◽  
pp. 1382 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Color Spaces ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Characterizing the atmosphere is one of the most complex studies one can undertake due to the non-linearity and phenomenological variability. Clouds are also among the most variable atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth’s surface requires very precise control systems that provide optimal energy production management. Similarly, airports are hubs where cloud coverage is required to provide high-precision periodic observations that inform airport operators about the state of the atmosphere. This work presents an autonomous cloud detection system, in real time, based on the digital image processing of a low-cost sky camera. An algorithm was developed to identify the clouds in the whole image using the relationships established between the channels of the RGB and Hue, Saturation, Value (HSV) color spaces. The system’s overall success rate is approximately 94% for all types of sky conditions; this is a novel development which makes it possible to identify clouds from a ground perspective without the use of radiometric parameters.

The Design and Development of the Mobile Terminal Based on MES

2014 ◽  
Vol 962-965 ◽  
pp. 2928-2931 ◽  
Author(s):  
Wang Lei
Keyword(s):  
Information System ◽  
Mobile Computing ◽  
Real Time ◽  
Manufacturing Industry ◽  
Production Management ◽  
Rapid Development ◽  
Developed Countries ◽  
Manufacturing Execution System ◽  
Computing Technology ◽  
Real Time System

Abstract.As a pillar industry of the national economy, manufacturing is the centralized embodiment of the international competitiveness. Manufacturing industry in china has developed quickly and gotten lots of achievements in recent years. Nevertheless, compared with the developed countries, we still have great gaps, such as the improper ratio of the light and heavy industry,the lacking ability of market research and technical innovation, especially the out-dated concept of management which hinder the development of the manufacturing industry in our country seriously. Nowadays, the most widely used real-time system of management in manufacturing is the Manufacturing Execution system(MES for short). MES is a kind of production management technology and real-time information system facing manufacturing workshop,also is the management information system facing the workshop between the management system at the top and the control system at the bottom. Mobile computing is a kind of new arisen technology at the basis of the rapid development of mobile communication, the Internet, database, distributed computing technology and so on. Mobile computing technology will make the computer or other information intelligent terminal equipments transfer data and share resources in wireless environment.

Real Time Sand Production Management Using Non-intrusive Surface Ultrasonic Sand Monitors in TNK-BP Brown Fields in Western Siberia

2011 ◽  
Author(s):  
Eduard Muslimov ◽  
Petr Medvedev ◽  
Sergey Shevchenko ◽  
Dmitry Mironov ◽  
Aleksandr Afanasiev
Keyword(s):  
Real Time ◽  
Production Management ◽  
Western Siberia ◽  
Sand Production

scholarly journals Real time automatic cloud detection using a low-cost sky camera

2020 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Abstract. Characterizing the atmosphere is one of the most complex studies to undertake due to the non-linearity and phenomenological variability. Clouds are also amongst the most variable of the atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth's surface requires very precise control systems that provide optimal energy production management. Likewise, airports are hubs where cloud coverage is required to provide high-precision periodic observations that inform airport operators about the state of the atmosphere. This work presents an autonomous cloud detection system, in real time, based on the digital image processing of a low-cost sky camera. The system's overall success rate is approximately 94% for all types of sky conditions.

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