Browsing by Issue Date, starting with "2017-11-22"
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- Documentação técnica de produtos de padaria e pastelaria ultracongeladosPublication . Pedrosa, Ana Raquel Pereira; Gândara, João Filipe MarquesResumo Este relatório surge como resultado do Estágio do Mestrado em Engenharia Alimentar da Escola Superior Agrária de Coimbra. Este decorreu entre os dias 9 de janeiro e 7 de julho de 2017, na empresa Panicongelados – Massas congeladas, S.A. O objetivo definido foi proceder à revisão da grande maioria da documentação técnica inerente à gama de produtos disponibilizados pela empresa. O desenvolvimento do estágio esteve intensamente relacionado com a preparação de alguns dos requisitos estabelecidos pela Norma IFS Food, de onde se destaca o controlo de fornecedores, a atualização de alguma documentação de segurança alimentar, como é o caso de análises de riscos e planos de controlo analítico, assim como revisão de fichas técnicas, etiquetas de produtos e controlo de alergénios. Para a revisão dos planos de controlo e análise de risco foi importante introduzir melhorias e adequar estes mesmos documentos à atual realidade da empresa. Quanto à atualização das fichas técnicas foi relevante incluir, de forma detalhada, todas as informações atuais e indispensáveis para cada uma das referências. De concluir que o estágio considerado possibilitou não só aplicar conceitos teóricos em prática, como ainda alcançar múltiplos conhecimentos referentes à indústria de produtos de padaria e pastelaria ultracongelados. Palavras-chave: Norma IFS, Padaria, Pastelaria, Produtos ultracongelados Abstract This report is the result of the internship from the master's program in Food Engineering at Coimbra College of Agriculture. The internship took place at Panicongelados - Massas Congeladas, S.A., between 9th january and 7th july, 2017. Its main goal was the revision of the technical documentation related to the company's product range, namely those related to the IFS Food standard. A large part of the work carried out during the internship was related to the requirements of the IFS Food standard. Among these requirements, some procedures were implemented regarding supplier's control. A part of the food safety documentation, such as risk analysis and the analytical control plans, was reviewed and updated. The products datasheets and labels were also reviewed and updated. Finally, an allergen control plan was developed. The review of all the documentation was done in order to improve it and to make it more adequate to the factory's actual conditions. The datasheets were update taking into consideration all the legal requirements applicable and to make them reflect the changes that have been introduced since their last update. This internship has not only allowed the application of theoretical concepts to a real situtation, but also to gain a better understanding of the deep-frozen bakery and pastry industry. Keywords: IFS Standard, Bakery, Pastry, Deep-frozen products
- Multi-threaded algorithms for GPGPU in the ATLAS High Level TriggerPublication . Conde Muíño, PatriciaGeneral purpose Graphics Processor Units (GPGPU) are being evaluated for possible future inclusion in an upgraded ATLAS High Level Trigger farm. We have developed a demonstrator including GPGPU implementations of Inner Detector and Muon tracking and Calorimeter clustering within the ATLAS software framework. ATLAS is a general purpose particle physics experiment located on the LHC collider at CERN. The ATLAS Trigger system consists of two levels, with Level-1 implemented in hardware and the High Level Trigger implemented in software running on a farm of commodity CPU. The High Level Trigger reduces the trigger rate from the 100 kHz Level-1 acceptance rate to 1.5 kHz for recording, requiring an average per-event processing time of ∼ 250 ms for this task. The selection in the high level trigger is based on reconstructing tracks in the Inner Detector and Muon Spectrometer and clusters of energy deposited in the Calorimeter. Performing this reconstruction within the available farm resources presents a significant challenge that will increase significantly with future LHC upgrades. During the LHC data taking period starting in 2021, luminosity will reach up to three times the original design value. Luminosity will increase further to 7.5 times the design value in 2026 following LHC and ATLAS upgrades. Corresponding improvements in the speed of the reconstruction code will be needed to provide the required trigger selection power within affordable computing resources. Key factors determining the potential benefit of including GPGPU as part of the HLT processor farm are: the relative speed of the CPU and GPGPU algorithm implementations; the relative execution times of the GPGPU algorithms and serial code remaining on the CPU; the number of GPGPU required, and the relative financial cost of the selected GPGPU. We give a brief overview of the algorithms implemented and present new measurements that compare the performance of various configurations exploiting GPGPU cards.