Sedan Riksantikvarieämbetets rikstäckande fornminnesinventeringar under 1980 och 90-talen har kunskapsläget för en rad fornlämningstyper förändrats, särskilt tydligt är detta för agrara lämningar. I föreliggande uppsats har en kritisk granskning av FMIS utförts med hjälp av en detaljkartering av en del av ett sedan tidigare känt fornlämningsområde i Södra Rörums socken, Skåne. En för kulturmiljövården ny inventeringsmetod, linjetaxering, har testats på samma fornlämningsområde. Linjetaxering har inte använts i större utsträckning inom arkeologi och kulturgeografi men är vanligt förekommande inom t.ex. biologi. Vidare har fornlämningsområdet placerats i en landskapshistorisk kontext i samarbete med en pollenanalysstudie av en angränsande mosse. De fossila åkerformerna är tidigast upplagda under bronsålder. Resultatet visar att det troligtvis skett en ny- eller återuppodling under tidig medeltid som illustreras och diskuteras i ett senare avsnitt i arbetet. Huvudfrågeställningens resultat styrker att det finns en underskattning av antalet lämningar i FMIS. Dessa resultat stämmer väl överens med en liknande studie i Västra Götaland och t ex med inventeringarna i samband med vägbygget E4 vid Örkelljunga.

O Smart Farming (SF) é um novo conjunto de tecnologias que podem ser usadas para melhorar a tomada de decisões e a automação em atividades agrícolas. Para isso, alguns agricultores começaram a utilizar a Internet das Coisas (IoT), que é uma tecnologia que permite que os objetos sejam detectados ou controlados remotamente em infraestruturas de rede existentes. Esse processo tende a criar oportunidades para uma integração mais direta do mundo físico com sistemas baseados em computador, gerando maior eficiência, precisão e benefícios econômicos para os usuários de SF. Além das novas áreas como IoT, Computação em Nuvem, Cognitive Computing e Big Data, dois campos contribuíram para o desenvolvimento de SF: Agricultura de Precisão (AP) e Tecnologia da Informação (TI).A presente tese analisou o processo de inovação no contexto da SF, desde a produção de conhecimento científico até a fase de difusão dessas tecnologias na agricultura, sendo que, o objeto de estudo contemplou as propriedades rurais de grãos. A discussão e análise realizadas no trabalho têm como base teórica o aporte da economia evolucionária e o paradigma tecnoeconômico usado para analisar revoluções tecnológicas. O trabalho consistiu de três etapas metodológicas distintas A primeira, de caráter exploratório, foi realizada por meio de entrevistas com especialistas de diferentes áreas, visando melhor compreender o tema estudado. Na segunda etapa, realizou-se um levantamento na literatura científica acerca do tema. De posse dessas informações, operacionalizou-se uma pesquisa empírica para analisar a adoção dessas tecnologias no ambiente real. Para isso, foram aplicados 119 questionários com produtores de grãos da região Sul do Brasil (Paraná, Santa Catarina e Rio Grande do Sul), sendo adotada amostragem estratificada, pois foram considerados produtores cujas propriedades produzissem 50% ou mais da receita bruta em grãos.Com base nos resultados, foi possível inferir que as tecnologias de SF encontram-se no processo de gestação e emergência. Observou-se um intenso desenvolvimento científico em tecnologias como IoT e ambientes inteligentes, bem como um forte efeito de "spillover" de outras indústrias para a agricultura. Entretanto, espera-se que nos próximos anos, o número de inovações disponíveis ao mercado na área de SF cresça. Os principais fatores de adoção de SF observados no trabalho foram: a) aumento de produtividade, b) melhor qualidade de processo, c) redução de custos, e d) maior conhecimento de áreas cultivadas. Da mesma forma, alguns fatores aumentaram a adoção de tecnologias em diferentes intensidades e maneiras. A educação teve o efeito significativo e positivo na adoção de tecnologias georeferenciadas de amostragem de solo A adoção do piloto de pulverização do piloto automático e softwares de gerenciamento teve influência positiva do tamanho da área. Os resultados da tese sinalizaram que um maior grau de escolaridade, tende a aumentar probabilidade de adoção dessas tecnologias. As principais barreiras que atrasam a entrada dos produtores de grãos na SF foram: a) o preço dos equipamentos, b) baixa qualificação do trabalho rural c) a precariedade do acesso à Internet nas regiões rurais brasileiras, e d) necessidade de inserir muitos dados e informações em software. Verificou-se assim que as máquinas empregadas nos sistemas produtivos de grãos estão passando pelo processo de digitalização, especialmente pelo aumento da disponibilidade de equipamentos com sensores e processos automatizados. No entanto, na percepção do produtor rural, grande número de técnicos e consultores ainda não está adaptado ao novo contexto da agricultura. Com isso, permanece o questionamento acerca da capacidade do produtor e dos consultores técnicos de acompanhar e aproveitar o potencial das tecnologias de SF na tomada de decisão na propriedade rural. Os resultados desse trabalho, inéditos no contexto brasileiro, avançam no sentido de compreender a difusão da SF no contexto brasileiro. / Smart Farming (SF) is a modern set technologies that can be used to improve decision making and automation throughout agricultural activities. To accomplish this, some farmers are using the Internet of Things (IoT), which is new technology that allows objects to be sensed or controlled remotely across existing network infrastructures. Further, it can create opportunities for more direct integration of the physical world into computer-based systems, which can result in improved efficiency, accuracy, and economic benefits for SF users. Besides the new areas such as IoT, Cloud Computing, Cognitive Computing and Big Data, two fields have contributed to the development of SF: Precision Agriculture (PA) and Information Technology (IT). The present study analyzed SF’s innovative processes, beginning with the production of scientific knowledge through to SF’s final diffusion of these technologies into agriculture. The discussion and analysis are based on the theoretical contributions of the evolutionary economy and the techno-economic paradigms and were used to analyze technological revolutions. The work consisted of three distinct methodological steps First, to better understand the subject being studied, interviews were conducted with researchers and market professionals, from different areas, such as agriculture, electronics engineering and mechanization. During the second stage, text mining was used to analyze scientific literature on SF. In the third step an empirical research was carried out to analyze the adoption of SF technologies in real environment. To operationalize this step, a questionnaire was sent to grain farmers from the southern region of Brazil, which included Paraná, Santa Catarina, and Rio Grande do Sul. Since these grain' farmers produced 50% or more of the gross revenue in grains were included in the database. After the surveys were completed, the empirical data was used to analyze the adoption of these technologies. Based on the results, it was possible to infer that SF technologies are in the process of gestation and emergence. There has been intense scientific development in technologies, such as IoT and smart environments. Additionally, there has been a strong spillover effect from industries to agriculture. Because of this, it is expected that the number of SF innovations available to the market will grow over the next several years The study indicated main factors that a farmer chose to adopt SF were: potential increase in productivity, better process quality, cost reduction, and a greater knowledge of cultivated areas. Additionally, adding in these factors, education had the positive effect on the adoption of georeferenced soil sampling. The adoption of an autopilot spray pilot and management software was positively influenced by the size of the area. The results of the study have indicated that a higher level of schooling tends to increase the probability of adopting these technologies. It was also found that high equipment costs, the low qualification of rural workers, the precariousness of Internet access in Brazilian rural regions, and the need to insert a lot of data and information in specific programs available to take advantage of SF technologies are the main barriers faced by grain producers, which contribute to their delay in implementing SF technologies. Additionally, it has been verified that the machines used in the grain production systems are becoming digitalized—the availability of equipment with sensors and automated processes are rapidly increasing. However, from the famers’ perception, many technicians and consultants, such as agronomists and agricultural engineers, have not yet adapted to the new context of agriculture, with growing implementation of SF technologies amongst farmers. Thus, the question remains whether farmers and technical consultants can take advantage of available SF technologies and, if so, whether they can use these technologies to help them make decisions and monitor their farming practices. The results of this research can be used to further understand how SF technologies are being used among Brazilian grain producers.

O Smart Farming (SF) é um novo conjunto de tecnologias que podem ser usadas para melhorar a tomada de decisões e a automação em atividades agrícolas. Para isso, alguns agricultores começaram a utilizar a Internet das Coisas (IoT), que é uma tecnologia que permite que os objetos sejam detectados ou controlados remotamente em infraestruturas de rede existentes. Esse processo tende a criar oportunidades para uma integração mais direta do mundo físico com sistemas baseados em computador, gerando maior eficiência, precisão e benefícios econômicos para os usuários de SF. Além das novas áreas como IoT, Computação em Nuvem, Cognitive Computing e Big Data, dois campos contribuíram para o desenvolvimento de SF: Agricultura de Precisão (AP) e Tecnologia da Informação (TI).A presente tese analisou o processo de inovação no contexto da SF, desde a produção de conhecimento científico até a fase de difusão dessas tecnologias na agricultura, sendo que, o objeto de estudo contemplou as propriedades rurais de grãos. A discussão e análise realizadas no trabalho têm como base teórica o aporte da economia evolucionária e o paradigma tecnoeconômico usado para analisar revoluções tecnológicas. O trabalho consistiu de três etapas metodológicas distintas A primeira, de caráter exploratório, foi realizada por meio de entrevistas com especialistas de diferentes áreas, visando melhor compreender o tema estudado. Na segunda etapa, realizou-se um levantamento na literatura científica acerca do tema. De posse dessas informações, operacionalizou-se uma pesquisa empírica para analisar a adoção dessas tecnologias no ambiente real. Para isso, foram aplicados 119 questionários com produtores de grãos da região Sul do Brasil (Paraná, Santa Catarina e Rio Grande do Sul), sendo adotada amostragem estratificada, pois foram considerados produtores cujas propriedades produzissem 50% ou mais da receita bruta em grãos.Com base nos resultados, foi possível inferir que as tecnologias de SF encontram-se no processo de gestação e emergência. Observou-se um intenso desenvolvimento científico em tecnologias como IoT e ambientes inteligentes, bem como um forte efeito de "spillover" de outras indústrias para a agricultura. Entretanto, espera-se que nos próximos anos, o número de inovações disponíveis ao mercado na área de SF cresça. Os principais fatores de adoção de SF observados no trabalho foram: a) aumento de produtividade, b) melhor qualidade de processo, c) redução de custos, e d) maior conhecimento de áreas cultivadas. Da mesma forma, alguns fatores aumentaram a adoção de tecnologias em diferentes intensidades e maneiras. A educação teve o efeito significativo e positivo na adoção de tecnologias georeferenciadas de amostragem de solo A adoção do piloto de pulverização do piloto automático e softwares de gerenciamento teve influência positiva do tamanho da área. Os resultados da tese sinalizaram que um maior grau de escolaridade, tende a aumentar probabilidade de adoção dessas tecnologias. As principais barreiras que atrasam a entrada dos produtores de grãos na SF foram: a) o preço dos equipamentos, b) baixa qualificação do trabalho rural c) a precariedade do acesso à Internet nas regiões rurais brasileiras, e d) necessidade de inserir muitos dados e informações em software. Verificou-se assim que as máquinas empregadas nos sistemas produtivos de grãos estão passando pelo processo de digitalização, especialmente pelo aumento da disponibilidade de equipamentos com sensores e processos automatizados. No entanto, na percepção do produtor rural, grande número de técnicos e consultores ainda não está adaptado ao novo contexto da agricultura. Com isso, permanece o questionamento acerca da capacidade do produtor e dos consultores técnicos de acompanhar e aproveitar o potencial das tecnologias de SF na tomada de decisão na propriedade rural. Os resultados desse trabalho, inéditos no contexto brasileiro, avançam no sentido de compreender a difusão da SF no contexto brasileiro. / Smart Farming (SF) is a modern set technologies that can be used to improve decision making and automation throughout agricultural activities. To accomplish this, some farmers are using the Internet of Things (IoT), which is new technology that allows objects to be sensed or controlled remotely across existing network infrastructures. Further, it can create opportunities for more direct integration of the physical world into computer-based systems, which can result in improved efficiency, accuracy, and economic benefits for SF users. Besides the new areas such as IoT, Cloud Computing, Cognitive Computing and Big Data, two fields have contributed to the development of SF: Precision Agriculture (PA) and Information Technology (IT). The present study analyzed SF’s innovative processes, beginning with the production of scientific knowledge through to SF’s final diffusion of these technologies into agriculture. The discussion and analysis are based on the theoretical contributions of the evolutionary economy and the techno-economic paradigms and were used to analyze technological revolutions. The work consisted of three distinct methodological steps First, to better understand the subject being studied, interviews were conducted with researchers and market professionals, from different areas, such as agriculture, electronics engineering and mechanization. During the second stage, text mining was used to analyze scientific literature on SF. In the third step an empirical research was carried out to analyze the adoption of SF technologies in real environment. To operationalize this step, a questionnaire was sent to grain farmers from the southern region of Brazil, which included Paraná, Santa Catarina, and Rio Grande do Sul. Since these grain' farmers produced 50% or more of the gross revenue in grains were included in the database. After the surveys were completed, the empirical data was used to analyze the adoption of these technologies. Based on the results, it was possible to infer that SF technologies are in the process of gestation and emergence. There has been intense scientific development in technologies, such as IoT and smart environments. Additionally, there has been a strong spillover effect from industries to agriculture. Because of this, it is expected that the number of SF innovations available to the market will grow over the next several years The study indicated main factors that a farmer chose to adopt SF were: potential increase in productivity, better process quality, cost reduction, and a greater knowledge of cultivated areas. Additionally, adding in these factors, education had the positive effect on the adoption of georeferenced soil sampling. The adoption of an autopilot spray pilot and management software was positively influenced by the size of the area. The results of the study have indicated that a higher level of schooling tends to increase the probability of adopting these technologies. It was also found that high equipment costs, the low qualification of rural workers, the precariousness of Internet access in Brazilian rural regions, and the need to insert a lot of data and information in specific programs available to take advantage of SF technologies are the main barriers faced by grain producers, which contribute to their delay in implementing SF technologies. Additionally, it has been verified that the machines used in the grain production systems are becoming digitalized—the availability of equipment with sensors and automated processes are rapidly increasing. However, from the famers’ perception, many technicians and consultants, such as agronomists and agricultural engineers, have not yet adapted to the new context of agriculture, with growing implementation of SF technologies amongst farmers. Thus, the question remains whether farmers and technical consultants can take advantage of available SF technologies and, if so, whether they can use these technologies to help them make decisions and monitor their farming practices. The results of this research can be used to further understand how SF technologies are being used among Brazilian grain producers.

O Smart Farming (SF) é um novo conjunto de tecnologias que podem ser usadas para melhorar a tomada de decisões e a automação em atividades agrícolas. Para isso, alguns agricultores começaram a utilizar a Internet das Coisas (IoT), que é uma tecnologia que permite que os objetos sejam detectados ou controlados remotamente em infraestruturas de rede existentes. Esse processo tende a criar oportunidades para uma integração mais direta do mundo físico com sistemas baseados em computador, gerando maior eficiência, precisão e benefícios econômicos para os usuários de SF. Além das novas áreas como IoT, Computação em Nuvem, Cognitive Computing e Big Data, dois campos contribuíram para o desenvolvimento de SF: Agricultura de Precisão (AP) e Tecnologia da Informação (TI).A presente tese analisou o processo de inovação no contexto da SF, desde a produção de conhecimento científico até a fase de difusão dessas tecnologias na agricultura, sendo que, o objeto de estudo contemplou as propriedades rurais de grãos. A discussão e análise realizadas no trabalho têm como base teórica o aporte da economia evolucionária e o paradigma tecnoeconômico usado para analisar revoluções tecnológicas. O trabalho consistiu de três etapas metodológicas distintas A primeira, de caráter exploratório, foi realizada por meio de entrevistas com especialistas de diferentes áreas, visando melhor compreender o tema estudado. Na segunda etapa, realizou-se um levantamento na literatura científica acerca do tema. De posse dessas informações, operacionalizou-se uma pesquisa empírica para analisar a adoção dessas tecnologias no ambiente real. Para isso, foram aplicados 119 questionários com produtores de grãos da região Sul do Brasil (Paraná, Santa Catarina e Rio Grande do Sul), sendo adotada amostragem estratificada, pois foram considerados produtores cujas propriedades produzissem 50% ou mais da receita bruta em grãos.Com base nos resultados, foi possível inferir que as tecnologias de SF encontram-se no processo de gestação e emergência. Observou-se um intenso desenvolvimento científico em tecnologias como IoT e ambientes inteligentes, bem como um forte efeito de "spillover" de outras indústrias para a agricultura. Entretanto, espera-se que nos próximos anos, o número de inovações disponíveis ao mercado na área de SF cresça. Os principais fatores de adoção de SF observados no trabalho foram: a) aumento de produtividade, b) melhor qualidade de processo, c) redução de custos, e d) maior conhecimento de áreas cultivadas. Da mesma forma, alguns fatores aumentaram a adoção de tecnologias em diferentes intensidades e maneiras. A educação teve o efeito significativo e positivo na adoção de tecnologias georeferenciadas de amostragem de solo A adoção do piloto de pulverização do piloto automático e softwares de gerenciamento teve influência positiva do tamanho da área. Os resultados da tese sinalizaram que um maior grau de escolaridade, tende a aumentar probabilidade de adoção dessas tecnologias. As principais barreiras que atrasam a entrada dos produtores de grãos na SF foram: a) o preço dos equipamentos, b) baixa qualificação do trabalho rural c) a precariedade do acesso à Internet nas regiões rurais brasileiras, e d) necessidade de inserir muitos dados e informações em software. Verificou-se assim que as máquinas empregadas nos sistemas produtivos de grãos estão passando pelo processo de digitalização, especialmente pelo aumento da disponibilidade de equipamentos com sensores e processos automatizados. No entanto, na percepção do produtor rural, grande número de técnicos e consultores ainda não está adaptado ao novo contexto da agricultura. Com isso, permanece o questionamento acerca da capacidade do produtor e dos consultores técnicos de acompanhar e aproveitar o potencial das tecnologias de SF na tomada de decisão na propriedade rural. Os resultados desse trabalho, inéditos no contexto brasileiro, avançam no sentido de compreender a difusão da SF no contexto brasileiro. / Smart Farming (SF) is a modern set technologies that can be used to improve decision making and automation throughout agricultural activities. To accomplish this, some farmers are using the Internet of Things (IoT), which is new technology that allows objects to be sensed or controlled remotely across existing network infrastructures. Further, it can create opportunities for more direct integration of the physical world into computer-based systems, which can result in improved efficiency, accuracy, and economic benefits for SF users. Besides the new areas such as IoT, Cloud Computing, Cognitive Computing and Big Data, two fields have contributed to the development of SF: Precision Agriculture (PA) and Information Technology (IT). The present study analyzed SF’s innovative processes, beginning with the production of scientific knowledge through to SF’s final diffusion of these technologies into agriculture. The discussion and analysis are based on the theoretical contributions of the evolutionary economy and the techno-economic paradigms and were used to analyze technological revolutions. The work consisted of three distinct methodological steps First, to better understand the subject being studied, interviews were conducted with researchers and market professionals, from different areas, such as agriculture, electronics engineering and mechanization. During the second stage, text mining was used to analyze scientific literature on SF. In the third step an empirical research was carried out to analyze the adoption of SF technologies in real environment. To operationalize this step, a questionnaire was sent to grain farmers from the southern region of Brazil, which included Paraná, Santa Catarina, and Rio Grande do Sul. Since these grain' farmers produced 50% or more of the gross revenue in grains were included in the database. After the surveys were completed, the empirical data was used to analyze the adoption of these technologies. Based on the results, it was possible to infer that SF technologies are in the process of gestation and emergence. There has been intense scientific development in technologies, such as IoT and smart environments. Additionally, there has been a strong spillover effect from industries to agriculture. Because of this, it is expected that the number of SF innovations available to the market will grow over the next several years The study indicated main factors that a farmer chose to adopt SF were: potential increase in productivity, better process quality, cost reduction, and a greater knowledge of cultivated areas. Additionally, adding in these factors, education had the positive effect on the adoption of georeferenced soil sampling. The adoption of an autopilot spray pilot and management software was positively influenced by the size of the area. The results of the study have indicated that a higher level of schooling tends to increase the probability of adopting these technologies. It was also found that high equipment costs, the low qualification of rural workers, the precariousness of Internet access in Brazilian rural regions, and the need to insert a lot of data and information in specific programs available to take advantage of SF technologies are the main barriers faced by grain producers, which contribute to their delay in implementing SF technologies. Additionally, it has been verified that the machines used in the grain production systems are becoming digitalized—the availability of equipment with sensors and automated processes are rapidly increasing. However, from the famers’ perception, many technicians and consultants, such as agronomists and agricultural engineers, have not yet adapted to the new context of agriculture, with growing implementation of SF technologies amongst farmers. Thus, the question remains whether farmers and technical consultants can take advantage of available SF technologies and, if so, whether they can use these technologies to help them make decisions and monitor their farming practices. The results of this research can be used to further understand how SF technologies are being used among Brazilian grain producers.

Background: The public sector in South Africa has long been concerned with poor performance in financial management in municipalities. The Auditor-General who has a constitutional mandate to audit government departments highlighted challenges in financial management facing the municipalities. The challenges include lack of compliance with the legislation of municipal financial management, weak audit outcomes, financially unqualified financial statements, mismatch in produced financial statements, missing reports regarding performance, incomplete disclosure in financial authorisation and unauthorised and waste expenditure. To overcome these challenges, the government introduced the Financial Management Information Systems (FMIS) to municipalities in South Africa to support budget preparation and implementation, accounting and reporting, performance monitoring and auditing and evaluation. However, FMIS have not reached widespread use and in the majority of municipalities required re-implementation. Employees are concerned that FMIS are not aligned with their work processes. Lack of sense of ownership towards FMIS is the contributing factor to end-users being reluctant to use FMIS. It was noted that end-users of FMIS were not given a chance to take control and contribute to the development of FMIS for their municipalities. Objective: Previous research posits that the degree of end-user's sense of ownership towards a system that they use in the workplace positively correlates to their level of involvement in the development process of the system. Employees in government departments such as municipalities are not usually involved or participate in the system development process. Sense of ownership towards the system is expected to arise when end-users participate in the system development process of the system. End-users may perceive that they have influence and control during the development of the system and thereby develop a sense of ownership about the system when it is ready for use. The study, therefore, investigated how end-user participation in system development engenders a sense of ownership among end-users of FMIS in municipalities. Method: The study was qualitative, deductive, followed the interpretive research epistemology and drew on a theory of psychological ownership as a theoretical lens, to analyse how end-user participation in FMIS development engenders a sense of ownership. A case study of the Western Cape Province focusing on two local and two district municipalities was considered as a representation of a South African context. Data was collected through semi-structured interviews, observations of end-users during co-design sessions of FMIS development and document analysis. Thematic data analysis was appropriate for the study. Findings: Findings showed that end-users were excluded through the waterfall system development model used for FMIS development. The FMIS development was a top-down approach in which strategic decisions regarding the implementation of FMIS were made from the executive top management of the National and Provincial Treasury departments. The communication about the development was between National Treasury, Provincial Treasury and the system development team. Although end-users were provided training before using the system, they were concerned that the systems were not aligned with their work processes. It was evident that end-user participation in project initiation, system requirements specifications and system design specifications phases could enable end-users to gain a sense of ownership in the form of a sense of responsibility through problem-solving and decision-making, meaningfulness through collective learning during participation and locus of control through shared leadership. End-users revealed that the more they contribute to the development, they learn new skills, feel psychologically empowered and boost their confidence towards FMIS. End-users emphasised that shared leadership during end-user participation is likely to have an influence on how the system is developed to suit work processes. However, findings showed that end-user participation in organisations with complex structures such as municipalities could be hindered by a myriad of factors. Standardisation and lack of stakeholder collaboration, complex job-design and leadership-style approach across tiers of government have been stated by end-users as factors that may hinder the effectiveness of end-user participation in system development in municipalities. Originality/contribution: The theoretical contribution of the research emerges from the use of the theory of psychological ownership to investigate end-user participation to engender an end-user's sense of ownership towards FMIS. There is a lack of evidence-based studies in developing countries focusing on the end-user perspectives regarding factors affecting poor uptake of information systems in the public sector. To address this gap, this study made a descriptive contribution to the concept of a sense of ownership. There is a dearth of studies examining how end users of information systems in government departments in developing countries can be empowered through a sense of ownership to enhance the use and acceptance. In response to this research gap, this study focuses on the concept of end-user participation and contributes to the body of IS knowledge by examining the end-user participation approach as a systems development strategy to engender a sense of ownership to end-users of information systems in government departments.

In relation to last year’s introduction of Digital Archaeological Process this study is supposed to investigate the opportunities of using quantitative methods on the archaeological material. The subject of the investigation is to problematize and process the concept of ”central places”. The investigation is based on a combination of qualitative and quantitative methods executed on seven different grave- and settlement areas during the Iron Age in Skåne. The archeological material is gathered through archaeological reports and later processed in tables. The concept of central places is often based on luxury finds and places with much archaeological material. Quantitative methods on archaeological material are a possibility by many reasons. For example by getting an overview of each grave- and settlement area which is an opportunity for more interpretations. DAP is an opportunity to restore the archaeological material during excavations for future research. The introduction of DAP is a step in the right direction for future archaeology.

En vue de répondre à l'absence de données complètes et réalistes de la part des fournisseurs, la connaissance du comportement des ferrites MnZn qui équipent les noyaux des composants haute fréquence a progressé nettement grâce à l'apport d'une nouvelle méthode de caractérisation des matériaux magnétiques. Contrairement aux méthodes normalisées, cette méthode, basée sur la mesure de deux impédances électriques complémentaires, permet d'accéder, à toute fréquence, aux données perméabilité et permittivité complexes. En ce qui concerne les formulations par éléments finis, les formulations générales en 3D ont été réécrites avec des propriétés physiques complexes, à l'aide de deux types de potentiel: le potentiel électrique et magnétique. Les hypothèses bidimensionnelles cartésienne et axisymétrique sont aussi utilisées. Le couplage avec les équations du circuit électrique d'alimentation est réalisé par la méthode des potentiels électriques intégrés dans le temps. Cette méthode généralement utilisée en 3D est adaptée pour les problèmes 2D. Les problèmes des capacités parasites liés aux effets des interactions électriques en haute fréquence sont aussi présentés. Pour la modélisation à des fréquences élevées, l'influence du champ magnétique sur le fonctionnement du composant n'est plus négligeable. Un modèle magnétique devient nécessaire afm de tenir compte de l'inductance d'un composant. Plusieurs études récentes sur les effets des interactions magnétiques électriques en haute fréquence sont montrées. Chaque méthode a comme particularité la nécessité des approximations, dans la plupart des cas géométriques, par rapport au problème qui est essentiellement tridimensionnel. Une modélisation par la méthode des éléments fmis utilisant la formulation axisymétrique couplée avec les équations de circuit électrique est proposée et bien adaptée pour une caractérisation électromagnétique des composants bobinés.

This essay researches cultural behaviour and rites surrounding wells in Uppland County, Sweden. The wells examined in this paper are mainly medieval with a few exceptions from Scandinavian Iron age (550 BC – 1050 AD). The material is compared with other forms of ritual activities surrounding water from the same area, as well as excerpts from the Poetic Edda. The purpose of this study was to find patterns of ritual behaviour surrounding the wells and argues for a ritual use spanning a longer time period than what previously has been assumed.

L'étude porte sur le transport, électronique et de spin, dans des microstructures et nanostructures à base de silicium, le matériau phare de l'industrie microélectronique.<br />Nous avons étudié un procédé de lithographie assistée par microscope à force atomique (AFM) pour fabriquer des nanofils sub-100-nm ultraminces (8 à 15 nm) de silicium, connectés à une structure de test sur silicium sur isolant (SOI). Les mesures électriques ont mis en évidence le comportement de transistor à effet de champ (FET) des nanocircuits. Le piégeage des électrons aux défauts d'interfaces et de l'oxyde, est la cause de la déplétion cumulative des fils ultraminces au cours des mesures successives I(V). Le dépiégeage peut être contrôlé par application d'une tension sur la grille du nanofil. Les fils ont ainsi révélé un effet mémoire (écriture/lecture par piégeage/dépiégeage sous tension de grille positive/négative).<br />Nous avons par ailleurs étudié le transport du spin dans un canal de silicium. L'étude théorique a souligné la possibilité d'utiliser un faible champ magnétique pour manipuler le spin en obtenant des longueurs de précession et de diffusion de spin micrométriques, compatibles avec la technologie actuelle. L'injection et la collecte électriques ont été réalisées dans un dispositif mémoire magnétique intégrée sur silicium (MEMIS), similaire à un SpinFET. Néanmoins, la qualité des jonctions hybrides métal ferromagnétique/isolant/silicium (FMIS) conditionnent l'efficacité d'injection et de collecte du spin et de l'effet de magnétorésistance ; dans ce sens, nous avons exploré quelques techniques d'élaboration de jonctions Co/AlO/Si et Co/MgO/Si avec des oxydes minces de l'ordre du nanomètre. Nous avons obtenu des jonctions FMIS avec une injection électrique par tunnel direct, ce qui présente une piste prometteuse pour l'injection cohérente du spin. Nous avons également caractérisé des jonctions redresseur semiconducteur ferromagnétique /semiconducteur (MSS) du type Ge3Mn5/Ge qui se sont avérées très intéressantes pour l'injection du spin.