scholarly journals DIELECTRIC USB-MOISTURE METER FOR SEEDS OF AGRICULTURAL CROPS

2018 ◽  
Author(s):  
Aleksandr VOSTRUKHIN ◽  
Elena VAKHTINA ◽  
Maksim MASTEPANENKO ◽  
Shaliko Gabrielyan
Keyword(s):  
Real Time ◽  
Information Technologies ◽  
Research Process ◽  
Temperature Correction ◽  
Agricultural Crops ◽  
Frequency Table ◽  
Moisture Meter ◽  
Business Competitiveness ◽  
Real Time Information ◽  
Time Information

The modern technical development condition is closed due to tough business competitiveness, so the innovative information for teaching students on the best examples of engineering and designing is not available. This is one of the basic reasons that diminish engineering education effectiveness in the field of technical knowledge in modern agricultural production. The scientists of engineering departments work above the solution of this problem and adapt the results into practice-oriented teaching technologies. The example is the development of moisture meter for agricultural crops seeds on the world-famous microcontroller Arduino-based platform, oriented to master the foundations of real-time information technologies shown in this article. The principle of the moisture meter operation is based on the most common method for measuring humidity of seeds – dielectric technique. The classical algorithm of conversion, such as permittivity, capacitance, frequency, table-based transformations and temperature correction is given. In the research process the methods of software structural designing, including functionally-oriented techniques for realizing the functions of real-time information systems were used. The hardware and software for solving such tasks as measuring the humidity of crop seeds, as well as studying microcontroller devices operating on the base of classical measurement methods have been developed. It can be used to solve other engineering and scientific problems in the field of agriculture where capacitive sensors are used.

Study of Solution Approach for Dynamic Vehicle Routing Problems with Real-Time Information

2003 ◽  
Vol 1857 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Ta-Yin Hu ◽  
Tsai-Yun Liao ◽  
Ying-Chih Lu
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Information Technologies ◽  
Vehicle Routing Problems ◽  
Dynamic Vehicle Routing ◽  
Routing Problems ◽  
Solution Approach ◽  
Traffic Conditions ◽  
Real Time Information ◽  
Time Information

Recent advances in commercial vehicle operations (CVO), especially in communication and information technologies, allow the study of dynamic vehicle routing problems under new and updated information, such as traffic conditions and new customers. Two major operational benefits of CVO include ( a) dynamically assigning vehicles to time-sensitive demands, and ( b) efficiently rerouting vehicles according to current traffic conditions. In this research, stochastic vehicle routing problems (SVRP) are considered and extended to incorporate real-time information for dynamic vehicle routing problems. The SVRP model is formulated by a chance-constrained model and is solved by CPLEX with branch-and-bound techniques. Numerical experiments are conducted in a Taichung city network to investigate dynamic vehicle routing strategies under real-time information supply strategies and to assess the effectiveness of such strategies in a dynamic perspective.

Simulation of Regional Freight Movement with Trade and Transportation Multinetworks

2003 ◽  
Vol 1854 (1) ◽  
pp. 152-161 ◽  
Author(s):  
Jinghua Xu ◽  
Kathleen L. Hancock ◽  
Frank Southworth
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Information Technologies ◽  
Transportation Costs ◽  
Supply Chain System ◽  
Freight Traffic ◽  
Set Up ◽  
Past Experiences ◽  
Real Time Information ◽  
Time Information

A simulation model called Trade and Transportation Multinetworks (TTMNet), constructed for the purpose of studying the effects of highly developed information technologies and logistic strategies (e.g., electronic commerce and real-time information) on freight transportation, is described. TTMNet is formulated as a multilevel product supply chain system that integrates the financial, informational, logistical, and physical aspects of transportation networks and allows interactions between each of these networks. Several simulators, including a freight traffic simulator, a supply chain decision-making simulator, and a pseudo-real-time information simulator, are involved. The freight traffic simulation is the focus of the present study. As part of this simulator, a learning model is set up to help decision makers estimate transportation costs on the basis of past experiences. Given the stochastic nature of these transportation costs and of the freight demands simulated by the system, the route for an origin–destination shipment may not remain optimal during a trip and may change along the way. A vehicle redirection procedure that handles this is presented. A numerical example is designed to compare a set of freight movements under two scenarios, one supported by and the other not supported by pseudo-real-time information on traffic conditions.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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