HMDCS-UV: A concept study of Hybrid Monitoring,Detection and Cleaning System for Unmanned Vehicles

This paper proposes a modular system of precision agriculture to automate sprayers, optimizing the application of pesticides through a robotic system based on computer vision and individual nozzle on/off control. The system uses low-cost equipment such as Arduino boards, solenoid valves, pressure and flow sensors, smartphone, webcam, and Raspberry Pi. The motivation is to reduce the amount of pesticides applied in crops, not just for potential savings for the farmers, but also for environment protection issues, as well as for food safety. The system can be used in any crop planted in rows such as onion, soybean, corn, beans, and rice. The results show that our system can detect lines in plantations and can be used to retrofit conventional boom sprayers, so it is an important step to develop a kit capable of upgrade a conventional sprayer to a fully autonomous robotic sprayer even at affordable cost in the context of small and medium size farms.

     

High solids content emulsion polymerisation without intermediate seeds. Part II. In situ generation of bimodal latices

A process for the production of high solid content latexes with low viscosity that does not require the use of intermediate seeds is developed. It is shown that the second population of a bimodal latex can be generated by controlled homogeneous nucleation through the use of a combination of an initiator that generates charged free radicals and a mixed surfactant system that is very rich in non-ionic surfactant. The process was shown to be reproducible, and was used to produce a latex with a solid content of almost 77% (v/v) and a viscosity of 1.5 Pa s at a shear rate of 20 s⁻¹.     

Resolution and Constraint Propagation for Semantic Web Services Discovery

The purpose of semantic web services discovery is to use semantic knowledge to find services that can be composed to form an admissible answer to a query. In this paper we consider the advantage of adopting a knowledge-based approach to web services discovery. Services are described by means of terminological axioms and constrained clauses. We apply a specific resolution and a constraint propagation mechanism to evaluate queries over services.Recommended by: Athman Bouguettaya and Boualem Benatallah     

Big Data: from collection to visualization

Organisations are increasingly relying on Big Data to provide the opportunities to discover correlations and patterns in data that would have previously remained hidden, and to subsequently use this new information to increase the quality of their business activities. In this paper we present a ‘story’ of Big Data from the initial data collection and to the end visualization, passing by the data fusion, and the analysis and clustering tasks. For this, we present a complete work flow on (a) how to represent the heterogeneous collected data using the high performance RDF language, how to perform the fusion of the Big Data in RDF by resolving the issue of entity disambiguity and how to query those data to provide more relevant and complete knowledge and (b) as the data are received in data streams, we propose batchStream, a Micro-Batching version of the growing neural gas approach, which is capable of clustering data streams with a single pass over the data. The batchStream algorithm allows us to discover clusters of arbitrary shapes without any assumptions on the number of clusters. This Big Data work flow is implemented in the Spark platform and we demonstrate it on synthetic and real data.