ABSTRACT This project presents a hardware and software design of a vehicle sensing node. The hard... more ABSTRACT This project presents a hardware and software design of a vehicle sensing node. The hardware design of the sensing node and used AMR magnetic sensor can be used in very different environments with great accuracy. Vehicle detection technology has evolved in the last couple decades. We want so much more information; information such as speed and direction of traffic, the quantity of vehicles per time on a stretch of pavement, vehicle classification or just presence or absence of a vehicles on a parking place. The earth's magnetic field is around a half-gauss in magnetic flux density and "low field" magnetic sensors can be used to pickup this field and field disturbances that nearby vehicles will create. The most commonly used sensor type is Anisotropic Magneto - Resistive (AMR) where the sensor resistive elements are oriented as a resistive "Wheatstone bridge" that varies resistance slightly as the magnetic field changes upon each element. For best performance the combination of the two axis is possible and such algorithms are developed. Analog and digital part's of hard-ware design is based on HMC 1001 Honeywell's AMR sensor and NXP ARM7 LPC 2368 microcontroller. Sensor node is manufactured on two layer's PCB, 50 х 100 mm, width 1,6 mm (FR4 tg130), HAL-PB Free finish, with on board micro SD card and ultra low power 2Mbps RF transceiver IC for the 2.4 GHz band. The detection algorithm uses state machine and threshold scheme in order to detect moving vehicle. After successful vehicle identification the sensor node records the event in its memory and passes info to the node controller for further processing. Since the frequent up-and-down fluctuation of the magnetic signal is not a desirable characteristic for the vehicle detection algorithm, a smoothing filter, which takes a running average of the signal, is used to smooth out the signal. Test the system in real conditions and creating next gen. applications with particular emphasis on smart parking's of the future is work in progress.
Papers with agents for optical brightening are often represented on the market. Agent for optical... more Papers with agents for optical brightening are often represented on the market. Agent for optical brightening or fluorescent whitening agent contains chemical additives that increase the reflection of blue light (caused by ultraviolet light with a wavelength below 400 nm) for the correction of a natural yellow color of paper pulp. The aim of this paper is to show that colors reproduced on paper with and without agents for optical brightening, are different during the same printing conditions. Standard ISO13655: 2009 (Spectral Measurement and colorimetric Computation for Graphic Arts Images) defines the "M" series of illumination, which provides color management in these conditions.
This work is based on analysis and experimental verification with the aim to determine difference... more This work is based on analysis and experimental verification with the aim to determine difference in several printing attributes, on AM and FM screenings at multicolor offset print.
ABSTRACT Different applications for measurement and control need different hardware configuration... more ABSTRACT Different applications for measurement and control need different hardware configurations for taking sensor measurements, additional data acquisition hardware and connectivity to control devices and actuators. The proposed multipurpose and flexible development environment offers standard environment for teaching students to work with low cost sensor and control node based on the NXP ARM7 LPC2368 microcontrolers.
This paper presents hardware and software design of a smart vehicle sensing and classification no... more This paper presents hardware and software design of a smart vehicle sensing and classification node with implemented energy aware classification algorithm. The classification algorithm works heuristic and in less computational steps thus conserving power for better battery optimization and longer usage of the sensing node. The hardware design of the sensing node and used AMR magnetic sensor can be used in very different environments with great accuracy.
ABSTRACT This project presents a hardware and software design of a vehicle sensing node. The hard... more ABSTRACT This project presents a hardware and software design of a vehicle sensing node. The hardware design of the sensing node and used AMR magnetic sensor can be used in very different environments with great accuracy. Vehicle detection technology has evolved in the last couple decades. We want so much more information; information such as speed and direction of traffic, the quantity of vehicles per time on a stretch of pavement, vehicle classification or just presence or absence of a vehicles on a parking place. The earth's magnetic field is around a half-gauss in magnetic flux density and "low field" magnetic sensors can be used to pickup this field and field disturbances that nearby vehicles will create. The most commonly used sensor type is Anisotropic Magneto - Resistive (AMR) where the sensor resistive elements are oriented as a resistive "Wheatstone bridge" that varies resistance slightly as the magnetic field changes upon each element. For best performance the combination of the two axis is possible and such algorithms are developed. Analog and digital part's of hard-ware design is based on HMC 1001 Honeywell's AMR sensor and NXP ARM7 LPC 2368 microcontroller. Sensor node is manufactured on two layer's PCB, 50 х 100 mm, width 1,6 mm (FR4 tg130), HAL-PB Free finish, with on board micro SD card and ultra low power 2Mbps RF transceiver IC for the 2.4 GHz band. The detection algorithm uses state machine and threshold scheme in order to detect moving vehicle. After successful vehicle identification the sensor node records the event in its memory and passes info to the node controller for further processing. Since the frequent up-and-down fluctuation of the magnetic signal is not a desirable characteristic for the vehicle detection algorithm, a smoothing filter, which takes a running average of the signal, is used to smooth out the signal. Test the system in real conditions and creating next gen. applications with particular emphasis on smart parking's of the future is work in progress.
Papers with agents for optical brightening are often represented on the market. Agent for optical... more Papers with agents for optical brightening are often represented on the market. Agent for optical brightening or fluorescent whitening agent contains chemical additives that increase the reflection of blue light (caused by ultraviolet light with a wavelength below 400 nm) for the correction of a natural yellow color of paper pulp. The aim of this paper is to show that colors reproduced on paper with and without agents for optical brightening, are different during the same printing conditions. Standard ISO13655: 2009 (Spectral Measurement and colorimetric Computation for Graphic Arts Images) defines the "M" series of illumination, which provides color management in these conditions.
This work is based on analysis and experimental verification with the aim to determine difference... more This work is based on analysis and experimental verification with the aim to determine difference in several printing attributes, on AM and FM screenings at multicolor offset print.
ABSTRACT Different applications for measurement and control need different hardware configuration... more ABSTRACT Different applications for measurement and control need different hardware configurations for taking sensor measurements, additional data acquisition hardware and connectivity to control devices and actuators. The proposed multipurpose and flexible development environment offers standard environment for teaching students to work with low cost sensor and control node based on the NXP ARM7 LPC2368 microcontrolers.
This paper presents hardware and software design of a smart vehicle sensing and classification no... more This paper presents hardware and software design of a smart vehicle sensing and classification node with implemented energy aware classification algorithm. The classification algorithm works heuristic and in less computational steps thus conserving power for better battery optimization and longer usage of the sensing node. The hardware design of the sensing node and used AMR magnetic sensor can be used in very different environments with great accuracy.
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