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A detailed spatially explicit evapotranspiration (ET) mapping at daily basis is of substantial benefit for agricultural water management. An integrated multi-sensor approach that combines the benefits of the high spatial resolution of Landsat and the high temporal resolution of MODIS and geostationary satellites to provide daily field-scale ET estimates is evaluated over two different agricultural landscapes. The ET data fusion methodology described here can provide detailed information about daily and seasonal water use patterns. This information can be of utility for irrigation managers at the scale of individual fields as well as for regional monitoring of water use toward allocation and conservation efforts.

This work deals with the study of human postural responses to external perturbations, performed using a novel mechatronic electro-pneumatic system. The device, which must be handled by a clinical operator, has been designed, developed and tested on human subjects. An Hardware-in-the-Loop equipment is designed and developed reproducing the behavior of the operator, the automatic perturbator and the subject. Results underline a good capability of the device to reproduce the reference of the impact force. https://youtu.be/ATUFuetf-cI

AbstractDiffusion of innovations has gained a lot of attention and concerns different scientific fields. Many studies, which examine the determining factors of technological innovations in the agricultural and agrifood sector, have been conducted using the widely used Technology Accepted Model, for a random sample of farmers or firms engaged in agricultural sector. In the present study, a holistic examination of the determining factors that affect the propensity of firms to innovate or imitate, is conducted. The diffusion of ICT tools of firms which are engaged in the NACE 02/03 as well as in the NACE 10/11 classifications for 49 heterogeneous national markets is examined, using the Bass model. The innovation parameter is positively associated with rural income, female employment, export activity and education of farmers, while the imitation parameter is increased in countries whose societies are characterized by uncertainty avoidance.

Fog-to-Cloud (F2C) is a novel paradigm aimed at increasing the benefits brought by the growing Internet-of-Things (IoT) devices population at the edge of the network. F2C is intended to manage the available resources from the core to the edge of the network, allowing services to choose and use either a specific cloud or fog offer or a combination of both. Recognized the key benefits brought by F2C systems, such as low-latency for real-time services, location awareness services, mobility support and the possibility to process data close to where they are generated, research efforts are being made towards the creation of a widely accepted F2C architecture. However, in order to achieve the desired F2C control framework, many open challenges must be solved. In this paper, we address the identity management challenges and propose an Identity Management System (IDMS) that is based on the fragmentation of the network resource IDs. In our approach, we divide the IDs into smaller fragments and then, when two nodes connect, they use a portion of their full ID (n fragments) for mutual identification. The conducted experiments have shown that an important reduction in both, the query execution times and the space required to store IDs, can be achieved when our IDMS is applied.

Robotics is a versatile tool for teaching STEM topics, as it supports various disciplines, skill sets and target audiences. However, controllers used in Educational Robotics are often limited in their use cases. In this regard, Hedgehog tries to be flexible by design. This paper introduces Hedgehog’s architecture, currently implemented and future use cases, and experiences from our first Hedgehog workshops.

The European funded research project CAPSELLA has developed a pilot application that uses open data-driven services to enhance transparency and inform decision making in food supply chain management, public procurement and consumption of meals served at public schools. The application acquires nutritional, health and social data by users and exploits other data available in open databases. Aggregated data form a geolocated interface informing parents, city officers, canteen operators and public food procurement officers about the nutritional background and habits of school children across the city. The pilot is implemented in the cities of Milan and Asti, Italy. The Public Food sector can drive urban sustainability strategies, having the potential to influence the traded volumes and overall quality in the food system and the food chain. Developing data driven ICT tools by integrating health, nutritional, environmental (i.e. food miles, carbon, water) and consumer data can support sustainability goals and the process of food production, delivery and consumption.

This poster about SolACE was presented at the Agri Innovation Summit in Lisbon on October 11 and 12, 2017. More information about the summit is available on http://www.aislisbon2017.com.

The aim of this paper is to trigger a conversation about the assessment, definition of metrics and testing procedures of software-defined GNSS receivers. While the evaluation of traditional (i.e., built on application–specific integrated circuit technology) GNSS receivers is now well–understood, and enjoys both a solid testing industry providing the required equipment and universally agreed figures of merit, the particularities of software–defined radio technologies claim for a more comprehensive approach. In order to account for such a multi–faceted nature, the authors identify sixteen design forces, or dimensions in which a software-defined GNSS can improve. Upon those definitions, a wide list of performance indicators, metrics and procedures are then proposed for each of the identified thrusts. The list can be used as a generative source of ideas when defining key performance indicators in projects, products or services involving a software–defined GNSS receiver.

This paper describes the performance of a 1MPixel Frame Store CCD sensor for soft X-ray applications at synchrotron light sources. This camera can be operated in frame store mode with a 1Mpixel imaging area running at 200fps, or in full frame mode with a 2M pixels imaging area running at 100fps. The CCD has 192 outputs that are serviced by custom-designed integrated circuits that perform correlated double-sampling signal processing and digitization. The digitized data is acquired by a custom made image acquisition and camera controller board based on the Advanced Telecommunication Computing Architecture system. Results obtained during a test run at the Advanced Light Source are presented demonstrating the X-ray camera performance.

A new 3-D microwave imaging technique, based on compressive sensing, is proposed for use with sparse antenna arrays. It was designed to enable cost-effective 3-D imaging and tracking of people in an indoor environment. This algorithm is able to image both sparse and cluttered environments, through the use of wavelet transforms and compressive sensing techniques. The main advantage of the proposed technique is that it enables the use of much sparser antenna arrays than is possible with the traditional range-migration algorithm, reducing the cost of microwave imaging systems. Experiments show that the compressive sensing algorithm produced high quality 3-D images using antenna arrays that are 90 to 96% sparse. This reduces the cost of the antenna array by a factor of 10 to 25, when compared to traditional dense arrays, without a loss in image resolution.