Abstract
This paper introduces the science software of HARMONI. The Instrument Numerical Model simulates the instrument from the optical point of view and provides synthetic exposures simulating detector readouts from data-cubes containing astrophysical scenes. The Data Reduction Software converts raw-data frames into a fully calibrated, scientifically usable data cube. We present the functionalities and the preliminary design of this software, describe some of the methods and algorithms used and highlight the challenges that we will have to face.

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The requirements of a website are constantly changing and evolving. In this context, managing the changes related to the baseline and reviewing the requirements' prioritization is critical. Nowadays, web analytics tools are used to analyze the behaviour of users on a website in order to improve its usability and user experience. The analysis of the usage of websites may also help software requirements maintenance which can be a contribution to the overall quality of the service provided. This paper presents an approach through a recommender system that collects the information about the usage of a website using a web analytics tools and generate recommendations reports that may help the requirements maintenance and increase the quality of the software requirements specification of the website. This paper presents also an experimental evaluation of a case study based on an online newspaper website. The results of the proposed approach provide more readable reports in a language more closer to the business and suggest requirements priority change, identify new requirements and functionalities that may be removed.

Abstract
As the number of wireless devices, services, communication standards and respective modes of operation rapidly grows, the design of reconfigurable digital baseband processing systems for radio devices becomes more important and challenging. Long Term Evolution (LTE) is among the most relevant wireless systems in 4G communications and its waveform is OFDM-based. According to the LTE mode of operation, OFDM parameters may change and influence baseband processing operations. This paper presents a dynamically reconfigurable LTE-compliant OFDM modulator for Downlink transmission able to adapt its internal hardware organization on-demand according to the digital modulation scheme and OFDM parameters, such as number of data subcarriers, IFFT size, Cyclic Prefix and window length. System reconfiguration is performed by employing FPGA-based Dynamic Partial Reconfiguration (DPR) techniques. The worst-case DPR latencies measured are 895 mu s and 1.192 ms for digital modulation and channel bandwidth adaptation, respectively. These results show that the adopted design approach is feasible in wireless baseband processing systems. Power estimations suggest that circuit specialization at run-time can potentially improve system power efficiency.

Abstract
Traffic Control is one of the fundamental problems in the management of an Automated Guided Vehicle (AGV) system. Its main objectives are to assure efficient conflict free routes and to avoid/solve system deadlocks. In this sense, and as an extension of our previouswork, this paper focus on exploring the capabilities of the Time Enhanced A* (TEA*) to dynamically control a fleet of AGVs, responsible for the execution of a predetermined set of tasks, considering an automatic warehouse case scenario. During the trial execution the proposed algorithm, besides having shown high capability on preventing/dealing with the occurrence of deadlocks, it also has exhibited high efficiency in the generation of free collision trajectories. Moreover, it was also selected an alternative from the state-of-art, in order to validate the TEA* results and compare it.