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  • Restricted English
    Authors: 
    Martinho, Teresa Duarte;
    Publisher: Springer
    Country: Portugal

    Amílcar Cabral (1924–1973) was an agronomist and one of the main African thinkers involved in the liberation struggle. In the 1960s and early 1970s he was the leader of Guiné-Bissau and Cabo Verde’s movement for independence from Portuguese colonial domination. Intellectual and political activity was central to his life, in which he sought always to tie together knowledge and social action. This chapter focuses on the writings of Amílcar Cabral on agriculture, soil erosion, mechanization and colonialism, covering the period between 1949 and 1955, which has been less researched, but which prepared the ground for the flourishing of the second phase. His thought and academic work in the field of agricultural engineering includes various articles on Cabo Verde, the work he did to complete his undergraduate degree, and the texts he wrote when he worked as an engineer in Guiné-Bissau. These texts show how Cabral consistently drew attention to the limitations of technological mastery of the land, mainly apparent when that mastery disregards the particular features of the cultural contexts in which it is applied and the fact that it increases the power of some men over others. Even before the social sciences had as yet not incorporated the notions of sustainable agriculture, risk and uncertainty, Cabral discussed the implications of importing the new technologies of industrial societies into Black Africa. This form of discourse, which encompasses contextual knowledge, protection of the land, careful technological choices and social development, stands out forcefully in the writings of Amílcar Cabral the agronomist.

  • English
    Authors: 
    Mueller, Inka; Freitag, Steffen; Memmolo, Vittorio; Moix-Bonet, Maria; Möllenhoff, Kathrin; Golub, Mikhail; Sridaran Venkat, Ramanan; Lugovtsova, Yevgeniya; Eremin, Artem; Moll, Jochen; +1 more
    Country: Germany

    Performance assessment for GuidedWave (GW)-based Structural Health Monitoring (SHM) systems is of major importance for industrial deployment. With conventional feature extraction methods like damage indices, path-based probability of detection (POD) analysis can be realized. To achieve reliability quantification enough data needs to be available, which is rarely the case. Alternatives like methods for performance assessment on system level are still in development and in a discussion phase. In this contribution, POD results using an Artificial Intelligence (AI)-based data analysis are compared with those delivered by conventional data analysis. Using an open-access dataset from Open Guided Wave platform, the possibility of performance assessment for GW-based SHM systems using AI-based data analysis is shown in detail. An artificial neural network (ANN) classifier is trained to detect artificial damage in a stiffened CFRP plate. As input for the ANN, classical damage indicators are used. The ANN is tested to detect damage at another position, whose inspection data were not previously used in training. The findings show very high detection capabilities without sorting any specific path but only having a global view of current damage metrics. The systematic evaluation of the ANN predictions with respect to specific damage sizes allows to compute a probability of correct identification versus flaw dimension, somehow equivalent to and compared with the results achieved through classic path-based POD analysis. Also, sensitive paths are detected by ANN predictions allowing for evaluation of maximal distances between path and damage position. Finally, it is shown that the prediction performance of the ANN can be improved significantly by combining different damage indicators as inputs.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Krimmel, Erica;
    Publisher: Zenodo

    This document is a resource for individuals interested in learning about archiving their work on Zenodo, including presentations, instructional content, workflow documents, outreach materials, etc. It was originally created for the biodiversity collections community. Files include the same document in multiple formats, as well as a separate file containing one of the figures.

  • Other research product . Collection . 2022
    Authors: 
    Alessandro Saccon; Maarten Jongeneel;
    Publisher: 4TU.ResearchData

    Collection used to gather all archives stored in the 4TU Research Data repository that are then listed in the TU/e Impact-Aware Robotics Database accessible via the URL https://www.impact-aware-robotics-database.tue.nl/The above URL provides additional search functionalities to explore the content of each dataset contained in the collection and it is intended to be used as the main access point for general users.

  • Authors: 
    Maarten Jongeneel;
    Publisher: 4TU.ResearchData

    Collection used to support all archives stored in the 4TU Research Data repository that are associated to the paper: "Validating Rigid-Body Dynamics Simulators on Real-World Data for Robotic Tossing Applications". The archives are also listed in the TU/e Impact-Aware Robotics Database accessible via the URL https://www.impact-aware-robotics-database.tue.nl/ The above URL provides additional search functionalities to explore the content of each dataset contained in the collection and it is intended to be used as the main access point for general users.

  • Open Access Indonesian
    Authors: 
    Ramadhani, M. S. (Muhammad); Junirianto, E. (Eko); Maria, E. (Eny);
    Publisher: Politeknik Pertanian Negeri Samarinda
    Country: Indonesia

    Agriculture is one of the most important economic sectors in Indonesia.aHowever, the Center for IndonesianaPolicy Studies (CIPS) estimates that agricultural production will decline by 1.64% to 6.2% due to supply chain disruptions affected by the Corona pandemic. But on the other hand, during the corona pandemic as it is today, the information technology sector, mainly digital, which requires internet access, has experienced a rapid increase. In this modern era, an innovation that utilizes the latest technology is needed to create an innovation that can increase the potential of the plantation sector towards industry 4.0. Therefore, a will be developed in this research Arduino-based Internet of Things monitoring and control system can provide information about soil pH, soil moisture, air humidity, air temperature, and wind speed from plants in real-time, and control water pumps for watering. The Arduino technology can make it easier for farmers to control the conditions in plants so plants can grow and develop optimally.

  • Other research product . Other ORP type . 2022
    Open Access
    Authors: 
    Antonucci, Alessandro;
    Publisher: Zenodo
    Project: EC | TERRINet (730994)

    The scope of the research is the development of a light weighted and efficient pedestrian trajectory predictor to be used on-board of mobile robots. The predictor is a novel neural network, namely the Structured Neural Network, where the internal layers are wired according to dynamical equations.

  • Other research product . Other ORP type . InteractiveResource . 2022
    Open Access English
    Authors: 
    Jana Ameye; Mario Hernandez; Tim Van de Voorde;
    Publisher: BELSPO
    Country: Belgium

    The main objective of the Belspo-funded LIMAMAL project was to support archaeologists in creating 3D terrain visualizations based on Lidar data and Pléiades stereoscopic imagery, and a combination or “fusion” thereof. A case study was developed to demonstrate the application of Pléiades imagery and light detection and ranging (lidar) technologies for prospection and visualization of the Mesoamerican archaeological landscape. Based on this case study, guidelines in English and Spanish have been developed to explain the technical processing. The project involved a stakeholder: the National Institute of Anthropology and History (INAH), a Mexican federal government institution responsible for research, conservation, protection and spreading of knowledge on Mexican cultural heritage. The case study and guidelines were presented to the stakeholder and other interested parties during several meetings held during a short mission to Yucatan, Mexico in the spring of 2022.

  • Open Access English
    Authors: 
    Hoseinpur, Farhood;
    Publisher: Lappeenranta-Lahti University of Technology LUT
    Country: Finland

    The Internet of Things plays a crucial role in digitalising services in many domains directly affecting humans’ day-to-day lives. However, with immense digitalisation, the Big Data phenomenon has become a critical issue. Big Data is, in general, characterized by five major features, including Volume, Velocity, Value, Veracity, and Variety, which are known as the 5 Vs of Big Data. In addition to its general characteristics, a new feature, i.e., geo-distribution, is also introduced by emerging IoT applications. These characteristics demand robust computing services for managing Big Data. Geo-distribution of Big Data and IoT services necessitates deploying computing services already at the network’s edge. Hence, fog computing, a geographically distributed computing platform, was introduced to provide local computing services for IoT applications. However, because of its limited resources, i.e., computing, storage, energy, and bandwidth, fog computing faces challenges concerning implementing strong security measures. This dissertation explores how to enhance security and privacy in fog computing by designing lightweight and efficient intrusion detection systems (IDS) to detect and prevent malicious attacks on IoT services. Furthermore, how to efficiently utilize computing resources in fog computing to enhance the quality of services and effectively facilitate the deployment of security mechanisms. The dissertation comprises five studies that employed a portfolio of research methods, including conceptualisation, proof of concept, and simulation modelling. The contribution of this thesis is threefold. First, the dissertation proposes solutions to enhance and tailor anomaly-based IDS inspired by the biological immune system to detect network intrusions in the IoT efficiently. As a result, a new lightweight architecture, including an extra layer of protection called the innate immune system, was proposed, and a proof of concept was presented. Second, it proposes a security framework to manage the trust levels of the device nodes that join the computing pool in the fog network and control their access to processing data with different levels of criticality. Third, it proposes solutions for efficiently managing and utilizing the limited resources in fog computing. This includes the introduction of a concept called Smart Data that aims to reshape the existing perspective of Big Data computing from a passive to an active form. Further, the dissertation presents a resource management model and algorithms to efficiently map multi-task applications into fog computing networks to reduce communication delays and enhance the quality of service.

  • Open Access Portuguese
    Authors: 
    Neves, Mariana Ribeiro;
    Country: Portugal

    O presente trabalho é resultado de um estágio desenvolvido no âmbito do Mestrado em Comunicação Audiovisual, Especialização em Fotografia e Cinema Documental, realizado sob a orientação científica da Professora Doutora Olívia Maria Marques da Silva do Departamento de Artes da Imagem, da Escola Superior de Media Artes e Design, do Instituto Politécnico do Porto e com orientação do estágio pela fotógrafa Bénédite Kurzen. Configurando-se um relatório de estágio que assume o papel central no âmbito do presente documento. A função principal deste estágio consistiu no levantamento e digitalização do arquivo da fotógrafa Bénédicte Kurzen. Ao longo do estágio foram testados vários métodos até ser atingida a qualidade exigida, tais como um tripé e mesa de luz e o Scanner1, em substituição da coluna de reprodução com iluminação a 45. Para além do trabalho proposto pela tutora de estágio, Bénédicte Kurzen, foi também desenvolvido um trabalho autónomo, num registo autoral. Ambos foram essenciais para alargar os meus conhecimentos teóricos e práticos sobre a fotografia e o que esta envolve. Para sustentar o trabalho executado ao longo do estágio, foram realizadas várias visitas a instituições que me ajudaram a enquadrar neste mundo do arquivo fotográfico. Destaco a visita ao Arquivo Municipal de Lisboa, onde foi possível conhecer todas as salas de trabalho, como as salas de preservação do arquivo, a zona de receção de provas de contacto e a sala de digitalização. Pude também visitar a biblioteca e o espaço expositivo. Depois de concluir todas as tarefas de digitalização, concentrei-me na criação de provas de contacto, bem como no projeto autónomo, referido acima. The present work is the result of an internship developed during the Master of Audiovisual Communication Specialized in Photography and Documental Cinema, accomplished under the scientific supervision of Professor Olívia Maria Marques da Silva of the Department of Image Arts, of Escola Superior de Media Artes e Design, Instituto Politécnico do Porto and with the supervision of the internship by the photographer Bénédicte Kurzen. Setting up an internship report that assumes the central role within the scope of this document. The main function of this internship consisted of surveying and digitizing the archive of photographer Bénédicte Kurzen. During the internship, several methods were tested until the required quality was reached, such as a tripod and light table and the Scanner2, replacing the reproduction column with 45º lighting. In addition to the work proposed by the internship tutor, Bénédicte Kurzen, an autonomous work was also developed, in an authorial register. Both were essential to broaden my theoretical and practical knowledge about photography and what it involves. To support the work carried out during the internship, several visits were made to establishments that helped me to fit into this world of the photographic archive. I would like to highlight the visit to the Municipal Archives of Lisbon, for the opportunity and kindness with which they received me, so that I was paid a visit to all the work and preservation rooms, as well as an explanation of everything that was seen. After completing all the digitization tasks, I focused on creating contact proofs as well as the standalone project mentioned above. Relatório de estágio

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
15,676 Research products, page 1 of 1,568
  • Restricted English
    Authors: 
    Martinho, Teresa Duarte;
    Publisher: Springer
    Country: Portugal

    Amílcar Cabral (1924–1973) was an agronomist and one of the main African thinkers involved in the liberation struggle. In the 1960s and early 1970s he was the leader of Guiné-Bissau and Cabo Verde’s movement for independence from Portuguese colonial domination. Intellectual and political activity was central to his life, in which he sought always to tie together knowledge and social action. This chapter focuses on the writings of Amílcar Cabral on agriculture, soil erosion, mechanization and colonialism, covering the period between 1949 and 1955, which has been less researched, but which prepared the ground for the flourishing of the second phase. His thought and academic work in the field of agricultural engineering includes various articles on Cabo Verde, the work he did to complete his undergraduate degree, and the texts he wrote when he worked as an engineer in Guiné-Bissau. These texts show how Cabral consistently drew attention to the limitations of technological mastery of the land, mainly apparent when that mastery disregards the particular features of the cultural contexts in which it is applied and the fact that it increases the power of some men over others. Even before the social sciences had as yet not incorporated the notions of sustainable agriculture, risk and uncertainty, Cabral discussed the implications of importing the new technologies of industrial societies into Black Africa. This form of discourse, which encompasses contextual knowledge, protection of the land, careful technological choices and social development, stands out forcefully in the writings of Amílcar Cabral the agronomist.

  • English
    Authors: 
    Mueller, Inka; Freitag, Steffen; Memmolo, Vittorio; Moix-Bonet, Maria; Möllenhoff, Kathrin; Golub, Mikhail; Sridaran Venkat, Ramanan; Lugovtsova, Yevgeniya; Eremin, Artem; Moll, Jochen; +1 more
    Country: Germany

    Performance assessment for GuidedWave (GW)-based Structural Health Monitoring (SHM) systems is of major importance for industrial deployment. With conventional feature extraction methods like damage indices, path-based probability of detection (POD) analysis can be realized. To achieve reliability quantification enough data needs to be available, which is rarely the case. Alternatives like methods for performance assessment on system level are still in development and in a discussion phase. In this contribution, POD results using an Artificial Intelligence (AI)-based data analysis are compared with those delivered by conventional data analysis. Using an open-access dataset from Open Guided Wave platform, the possibility of performance assessment for GW-based SHM systems using AI-based data analysis is shown in detail. An artificial neural network (ANN) classifier is trained to detect artificial damage in a stiffened CFRP plate. As input for the ANN, classical damage indicators are used. The ANN is tested to detect damage at another position, whose inspection data were not previously used in training. The findings show very high detection capabilities without sorting any specific path but only having a global view of current damage metrics. The systematic evaluation of the ANN predictions with respect to specific damage sizes allows to compute a probability of correct identification versus flaw dimension, somehow equivalent to and compared with the results achieved through classic path-based POD analysis. Also, sensitive paths are detected by ANN predictions allowing for evaluation of maximal distances between path and damage position. Finally, it is shown that the prediction performance of the ANN can be improved significantly by combining different damage indicators as inputs.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Krimmel, Erica;
    Publisher: Zenodo

    This document is a resource for individuals interested in learning about archiving their work on Zenodo, including presentations, instructional content, workflow documents, outreach materials, etc. It was originally created for the biodiversity collections community. Files include the same document in multiple formats, as well as a separate file containing one of the figures.

  • Other research product . Collection . 2022
    Authors: 
    Alessandro Saccon; Maarten Jongeneel;
    Publisher: 4TU.ResearchData

    Collection used to gather all archives stored in the 4TU Research Data repository that are then listed in the TU/e Impact-Aware Robotics Database accessible via the URL https://www.impact-aware-robotics-database.tue.nl/The above URL provides additional search functionalities to explore the content of each dataset contained in the collection and it is intended to be used as the main access point for general users.

  • Authors: 
    Maarten Jongeneel;
    Publisher: 4TU.ResearchData

    Collection used to support all archives stored in the 4TU Research Data repository that are associated to the paper: "Validating Rigid-Body Dynamics Simulators on Real-World Data for Robotic Tossing Applications". The archives are also listed in the TU/e Impact-Aware Robotics Database accessible via the URL https://www.impact-aware-robotics-database.tue.nl/ The above URL provides additional search functionalities to explore the content of each dataset contained in the collection and it is intended to be used as the main access point for general users.

  • Open Access Indonesian
    Authors: 
    Ramadhani, M. S. (Muhammad); Junirianto, E. (Eko); Maria, E. (Eny);
    Publisher: Politeknik Pertanian Negeri Samarinda
    Country: Indonesia

    Agriculture is one of the most important economic sectors in Indonesia.aHowever, the Center for IndonesianaPolicy Studies (CIPS) estimates that agricultural production will decline by 1.64% to 6.2% due to supply chain disruptions affected by the Corona pandemic. But on the other hand, during the corona pandemic as it is today, the information technology sector, mainly digital, which requires internet access, has experienced a rapid increase. In this modern era, an innovation that utilizes the latest technology is needed to create an innovation that can increase the potential of the plantation sector towards industry 4.0. Therefore, a will be developed in this research Arduino-based Internet of Things monitoring and control system can provide information about soil pH, soil moisture, air humidity, air temperature, and wind speed from plants in real-time, and control water pumps for watering. The Arduino technology can make it easier for farmers to control the conditions in plants so plants can grow and develop optimally.

  • Other research product . Other ORP type . 2022
    Open Access
    Authors: 
    Antonucci, Alessandro;
    Publisher: Zenodo
    Project: EC | TERRINet (730994)

    The scope of the research is the development of a light weighted and efficient pedestrian trajectory predictor to be used on-board of mobile robots. The predictor is a novel neural network, namely the Structured Neural Network, where the internal layers are wired according to dynamical equations.

  • Other research product . Other ORP type . InteractiveResource . 2022
    Open Access English
    Authors: 
    Jana Ameye; Mario Hernandez; Tim Van de Voorde;
    Publisher: BELSPO
    Country: Belgium

    The main objective of the Belspo-funded LIMAMAL project was to support archaeologists in creating 3D terrain visualizations based on Lidar data and Pléiades stereoscopic imagery, and a combination or “fusion” thereof. A case study was developed to demonstrate the application of Pléiades imagery and light detection and ranging (lidar) technologies for prospection and visualization of the Mesoamerican archaeological landscape. Based on this case study, guidelines in English and Spanish have been developed to explain the technical processing. The project involved a stakeholder: the National Institute of Anthropology and History (INAH), a Mexican federal government institution responsible for research, conservation, protection and spreading of knowledge on Mexican cultural heritage. The case study and guidelines were presented to the stakeholder and other interested parties during several meetings held during a short mission to Yucatan, Mexico in the spring of 2022.

  • Open Access English
    Authors: 
    Hoseinpur, Farhood;
    Publisher: Lappeenranta-Lahti University of Technology LUT
    Country: Finland

    The Internet of Things plays a crucial role in digitalising services in many domains directly affecting humans’ day-to-day lives. However, with immense digitalisation, the Big Data phenomenon has become a critical issue. Big Data is, in general, characterized by five major features, including Volume, Velocity, Value, Veracity, and Variety, which are known as the 5 Vs of Big Data. In addition to its general characteristics, a new feature, i.e., geo-distribution, is also introduced by emerging IoT applications. These characteristics demand robust computing services for managing Big Data. Geo-distribution of Big Data and IoT services necessitates deploying computing services already at the network’s edge. Hence, fog computing, a geographically distributed computing platform, was introduced to provide local computing services for IoT applications. However, because of its limited resources, i.e., computing, storage, energy, and bandwidth, fog computing faces challenges concerning implementing strong security measures. This dissertation explores how to enhance security and privacy in fog computing by designing lightweight and efficient intrusion detection systems (IDS) to detect and prevent malicious attacks on IoT services. Furthermore, how to efficiently utilize computing resources in fog computing to enhance the quality of services and effectively facilitate the deployment of security mechanisms. The dissertation comprises five studies that employed a portfolio of research methods, including conceptualisation, proof of concept, and simulation modelling. The contribution of this thesis is threefold. First, the dissertation proposes solutions to enhance and tailor anomaly-based IDS inspired by the biological immune system to detect network intrusions in the IoT efficiently. As a result, a new lightweight architecture, including an extra layer of protection called the innate immune system, was proposed, and a proof of concept was presented. Second, it proposes a security framework to manage the trust levels of the device nodes that join the computing pool in the fog network and control their access to processing data with different levels of criticality. Third, it proposes solutions for efficiently managing and utilizing the limited resources in fog computing. This includes the introduction of a concept called Smart Data that aims to reshape the existing perspective of Big Data computing from a passive to an active form. Further, the dissertation presents a resource management model and algorithms to efficiently map multi-task applications into fog computing networks to reduce communication delays and enhance the quality of service.

  • Open Access Portuguese
    Authors: 
    Neves, Mariana Ribeiro;
    Country: Portugal

    O presente trabalho é resultado de um estágio desenvolvido no âmbito do Mestrado em Comunicação Audiovisual, Especialização em Fotografia e Cinema Documental, realizado sob a orientação científica da Professora Doutora Olívia Maria Marques da Silva do Departamento de Artes da Imagem, da Escola Superior de Media Artes e Design, do Instituto Politécnico do Porto e com orientação do estágio pela fotógrafa Bénédite Kurzen. Configurando-se um relatório de estágio que assume o papel central no âmbito do presente documento. A função principal deste estágio consistiu no levantamento e digitalização do arquivo da fotógrafa Bénédicte Kurzen. Ao longo do estágio foram testados vários métodos até ser atingida a qualidade exigida, tais como um tripé e mesa de luz e o Scanner1, em substituição da coluna de reprodução com iluminação a 45. Para além do trabalho proposto pela tutora de estágio, Bénédicte Kurzen, foi também desenvolvido um trabalho autónomo, num registo autoral. Ambos foram essenciais para alargar os meus conhecimentos teóricos e práticos sobre a fotografia e o que esta envolve. Para sustentar o trabalho executado ao longo do estágio, foram realizadas várias visitas a instituições que me ajudaram a enquadrar neste mundo do arquivo fotográfico. Destaco a visita ao Arquivo Municipal de Lisboa, onde foi possível conhecer todas as salas de trabalho, como as salas de preservação do arquivo, a zona de receção de provas de contacto e a sala de digitalização. Pude também visitar a biblioteca e o espaço expositivo. Depois de concluir todas as tarefas de digitalização, concentrei-me na criação de provas de contacto, bem como no projeto autónomo, referido acima. The present work is the result of an internship developed during the Master of Audiovisual Communication Specialized in Photography and Documental Cinema, accomplished under the scientific supervision of Professor Olívia Maria Marques da Silva of the Department of Image Arts, of Escola Superior de Media Artes e Design, Instituto Politécnico do Porto and with the supervision of the internship by the photographer Bénédicte Kurzen. Setting up an internship report that assumes the central role within the scope of this document. The main function of this internship consisted of surveying and digitizing the archive of photographer Bénédicte Kurzen. During the internship, several methods were tested until the required quality was reached, such as a tripod and light table and the Scanner2, replacing the reproduction column with 45º lighting. In addition to the work proposed by the internship tutor, Bénédicte Kurzen, an autonomous work was also developed, in an authorial register. Both were essential to broaden my theoretical and practical knowledge about photography and what it involves. To support the work carried out during the internship, several visits were made to establishments that helped me to fit into this world of the photographic archive. I would like to highlight the visit to the Municipal Archives of Lisbon, for the opportunity and kindness with which they received me, so that I was paid a visit to all the work and preservation rooms, as well as an explanation of everything that was seen. After completing all the digitization tasks, I focused on creating contact proofs as well as the standalone project mentioned above. Relatório de estágio

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