Nuovi protocolli per gestione dati e comunicazione Real-time in ambito agricolo

In the last years, Precision Farming and Farm Automation in Agricultural field, have been requesting short range wireless communication systems for machine synchronization and long range wireless communication for fleet management, and for production and task control in real time. Existing protocols can meet the requirements only partially: different legislation and product availability in different countries make it difficult to identify a solution for the global market. TCP/IP protocol and GPRS/GSM networks meet some requirements for long range communication, but not for real time communication needed for short range communication. The synchronization specifications require a real time wireless communication protocol affordable, safe and with low latency, in order to ensure a minimum guaranteed throughput apt to synchronize the machine work and travel. Moreover there are some information security requirements to fulfill in order to guarantee safe data transmission. The paper presents a comprehensive proposal based on UDP and IP protocols with embedded controls, apt to create an isochronous wireless communication for machine synchronization, and some other methods and protocols to fulfill long range data communication requirements of the Agricultural field

P39 Longitudinal changes of cerebral white matter tissue microstructure in early-onset systemic lupus erythematosus

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A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures

BACKGROUND: Diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) abnormalities in patients with multiple sclerosis (MS) are currently measured by a complex combination of separate procedures. Therefore, the purpose of this study was to provide a reliable method for reducing analysis complexity and obtaining reproducible results. METHODS: We implemented a semi-automated measuring system in which different well-known software components for magnetic resonance imaging (MRI) analysis are integrated to obtain reliable measurements of DWI and PWI disturbances in MS. RESULTS: We generated the Diffusion/Perfusion Project (DPP) Suite, in which a series of external software programs are managed and harmonically and hierarchically incorporated by in-house developed Matlab software to perform the following processes: 1) image pre-processing, including imaging data anonymization and conversion from DICOM to Nifti format; 2) co-registration of 2D and 3D non-enhanced and Gd-enhanced T1-weighted images in fluid-attenuated inversion recovery (FLAIR) space; 3) lesion segmentation and classification, in which FLAIR lesions are at first segmented and then categorized according to their presumed evolution; 4) co-registration of segmented FLAIR lesion in T1 space to obtain the FLAIR lesion mask in the T1 space; 5) normal appearing tissue segmentation, in which T1 lesion mask is used to segment basal ganglia/thalami, normal appearing grey matter (NAGM) and normal appearing white matter (NAWM); 6) DWI and PWI map generation; 7) co-registration of basal ganglia/thalami, NAGM, NAWM, DWI and PWI maps in previously segmented FLAIR space; 8) data analysis. All these steps are automatic, except for lesion segmentation and classification. CONCLUSION: We developed a promising method to limit misclassifications and user errors, providing clinical researchers with a practical and reproducible tool to measure DWI and PWI changes in MS