836 resultados para Industrial heritage and recognition
Resumo:
The Commercial and Industrial Network improvement and programming policy reflected in this summary report was adopted for use in future highway programming by the Transportation Commission on November 5, 1991. The Iowa Department of Transportation, as directed by the Legislature, has established a 2,331-mile network of commercial and industrial highways and is directing a significant amount of primary construction funding resources toward improvements to this network. This summary outlines the technical needs assessment for improvements on the Commercial and Industrial Network for the next 20-year period. The portions of the network which require four-lane capacity, as well as major improvements to the two-lane sections, are graphically displayed. Detailed improvement needs and costs are listed in tabular form for the first two five-year periods (1992-1996 and 1997-2001). It is essential to note that these improvement needs are the result of a technical assessment and do not imply any funding commitment.
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Current Ambient Intelligence and Intelligent Environment research focuses on the interpretation of a subject’s behaviour at the activity level by logging the Activity of Daily Living (ADL) such as eating, cooking, etc. In general, the sensors employed (e.g. PIR sensors, contact sensors) provide low resolution information. Meanwhile, the expansion of ubiquitous computing allows researchers to gather additional information from different types of sensor which is possible to improve activity analysis. Based on the previous research about sitting posture detection, this research attempts to further analyses human sitting activity. The aim of this research is to use non-intrusive low cost pressure sensor embedded chair system to recognize a subject’s activity by using their detected postures. There are three steps for this research, the first step is to find a hardware solution for low cost sitting posture detection, second step is to find a suitable strategy of sitting posture detection and the last step is to correlate the time-ordered sitting posture sequences with sitting activity. The author initiated a prototype type of sensing system called IntelliChair for sitting posture detection. Two experiments are proceeded in order to determine the hardware architecture of IntelliChair system. The prototype looks at the sensor selection and integration of various sensor and indicates the best for a low cost, non-intrusive system. Subsequently, this research implements signal process theory to explore the frequency feature of sitting posture, for the purpose of determining a suitable sampling rate for IntelliChair system. For second and third step, ten subjects are recruited for the sitting posture data and sitting activity data collection. The former dataset is collected byasking subjects to perform certain pre-defined sitting postures on IntelliChair and it is used for posture recognition experiment. The latter dataset is collected by asking the subjects to perform their normal sitting activity routine on IntelliChair for four hours, and the dataset is used for activity modelling and recognition experiment. For the posture recognition experiment, two Support Vector Machine (SVM) based classifiers are trained (one for spine postures and the other one for leg postures), and their performance evaluated. Hidden Markov Model is utilized for sitting activity modelling and recognition in order to establish the selected sitting activities from sitting posture sequences.2. After experimenting with possible sensors, Force Sensing Resistor (FSR) is selected as the pressure sensing unit for IntelliChair. Eight FSRs are mounted on the seat and back of a chair to gather haptic (i.e., touch-based) posture information. Furthermore, the research explores the possibility of using alternative non-intrusive sensing technology (i.e. vision based Kinect Sensor from Microsoft) and find out the Kinect sensor is not reliable for sitting posture detection due to the joint drifting problem. A suitable sampling rate for IntelliChair is determined according to the experiment result which is 6 Hz. The posture classification performance shows that the SVM based classifier is robust to “familiar” subject data (accuracy is 99.8% with spine postures and 99.9% with leg postures). When dealing with “unfamiliar” subject data, the accuracy is 80.7% for spine posture classification and 42.3% for leg posture classification. The result of activity recognition achieves 41.27% accuracy among four selected activities (i.e. relax, play game, working with PC and watching video). The result of this thesis shows that different individual body characteristics and sitting habits influence both sitting posture and sitting activity recognition. In this case, it suggests that IntelliChair is suitable for individual usage but a training stage is required.
Resumo:
This thesis looks at how ‘community archaeology’ ideals may influence an inclusive approach to Indigenous heritage management, ensuring Indigenous community power over processes to identify both past and present values of Country. Community archaeology was acclaimed by research archaeologists over a decade ago as a distinctive approach with its own set of practices to incorporate the local community’s perspectives of its past and current associations with place. A core feature of this approach in Australia is the major role the Indigenous community has in decisions about its heritage. Concurrently, considerable concern was being expressed that Indigenous heritage was not sufficiently addressed in environmental impact assessment processes ahead of development. Seen as absent from the process was the inclusion of Indigenous knowledge about both the pre- and post-contact story as well as any scientific advance in understanding an area’s Indigenous history. This research examines these contrasting perspectives seeking to understand the ideals of community archaeology and its potential to value all aspects of Indigenous heritage and so benefit the relevant community. The ideals of community archaeology build on past community collaborations in Australia and also respond to more recent societal recognition of Indigenous rights, reflected in more ethically inclusive planning and heritage statutes. Indigenous communities expressed the view that current systems are still not meeting these policy commitments to give them control over their heritage. This research has examined the on-the-ground reality of heritage work on the outskirts of Canberra and Melbourne. The case studies compare Victorian and ACT heritage management processes across community partnerships with public land managers, and examine how pre-development surveys operate. I conclude that considerable potential for achieving community archaeology ideals exists, and that they are occasionally partially realised, however barriers continue. In essence, the archaeological model persists despite a community archaeology approach requiring a wider set of skills to ensure a comprehensive engagement with an Indigenous community. Other obstacles in the current Indigenous heritage management system include a lack of knowledge and communication about national standards for heritage processes in government agencies and heritage consultants; the administrative framework that can result in inertia or silos between relevant agencies; and funding timeframes that limit possibilities for long-term strategic programs for early identification and management planning for Indigenous heritage. Also, Indigenous communities have varying levels of authority to speak for how their heritage should be managed, yet may not have the resources to do so. This thesis suggests ways to breach these barriers to achieve more inclusive Indigenous heritage management based on community archaeology principles. Policies for a greater acknowledgement of the Indigenous community’s authority to speak for Country; processes that enable and early and comprehensive ‘mapping’ of Country, and long-term resourcing of communities, may have been promised before. In this research I suggest ways to realise such goals.
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Esta dissertação pretende contribuir para um melhor conhecimento da complexidade das redes de transferência de conhecimentos e técnicas, no domínio da engenharia civil e mais concretamente através dos caminhos-de-ferro, nos séculos XIX e XX. Em Portugal, os caminhos-de-ferro estiveram no cerne de um vasto debate, sobretudo político, concomitante com uma instabilidade crescente no cenário político e uma fase de fragilidade económica. É neste contexto que a Linha do Sul e Sueste vai ser construída (seguida pela sua extensão até Vila Real de Santo António e pela construção do ramal de Portimão, que chegará a Lagos). Este empreendimento é uma clara ilustração da realidade portuguesa de então, no que concerne ao desenvolvimento desta rede de transportes, que nos permite, igualmente, conhecer e compreender quem interveio no processo de construção da linha (os engenheiros, as empresas, entre outros aspectos) e assim determinar quais as influências e transferências técnicas que tiveram lugar; RESUMEE: Cette mémoire attire à la contribution pour une meilleure connaissance de la complexité des réseaux de transfert de techniques et connaissances qui ont eu lieu dans le domaine de l’ingénierie civile, surtout dans les chemins de fer, au XIXème et XXème siècles. Au Portugal, les chemins de fer sont été le cerne d’un très vaste débat, coïncidant avec une croissante instabilité dans le scenario politique et aussi une phase économique fragile. C’est dans ce contexte que la Ligne du Sud et Sud-est va être bâti (suivi par l’extension jusqu’à Vila Real de Santo António et la construction de l’embranchement ferroviaire Portimão). Cette entreprise c’est une illustration claire de la réalité portugaise, en concernant l’implémentation de cette réseau de transport, que nous permettre de comprendre et également bien connaitre qui a intervenu dans le processus de construction de la ligne (les ingénieurs, entreprises, etcetera), ainsi que déterminer les influences et les transferts techniques qui ont eu lieu; ABSTRACT: With this master’s thesis, the aim is to be able to contribute to a better understanding of the complex network of technique’s and knowledge transfers, that took place within the field of civil engineering, in the 19th and 20th centuries, namely on the railways. In Portugal, railways take-up was a wide and ample debate, coinciding with an uprising turmoil on the Portuguese political outskirt and a phase of economic frailty. It’s in this context that the construction of the South and Southeast Line took place (followed, later on, by its extension until Vila Real de Santo António and by the construction of the Portimão’s branch). This enterprise is, as we pretend to prove in this master’s thesis, a clear example of the Portuguese reality, enabling us to understand and to get to know those who intervened in the construction’s process (the engineers and the companies) as well as determining influences and technique transfers that have taken place.
Resumo:
Lighthouses are an important part of the industrial heritage of the Keweenaw Peninsula in Michigan. They functioned as an integrated system that facilitated shipping on Lake Superior and supported the growing industry of the Keweenaw Peninsula. For this reason, lighthouses can be considered as an overlapping boundary between the maritime and terrestrial landscapes. As shipping and industry changed, the lighthouse boundary also changed. Changes to the boundary are reflected in the contractors involved in the construction of lighthouses and the decisions they made with the resources, principally building materials and knowledge, which they had at their disposal. The decline of shipping on the Great Lakes due to the increased use of roads and railroads for commerce and transportation and the decline of industry on the Keweenaw due to the decreasing profitability of the mines are reflected in gradual end of lighthouses functioning as a network.
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The main objectives of this thesis are to validate an improved principal components analysis (IPCA) algorithm on images; designing and simulating a digital model for image compression, face recognition and image detection by using a principal components analysis (PCA) algorithm and the IPCA algorithm; designing and simulating an optical model for face recognition and object detection by using the joint transform correlator (JTC); establishing detection and recognition thresholds for each model; comparing between the performance of the PCA algorithm and the performance of the IPCA algorithm in compression, recognition and, detection; and comparing between the performance of the digital model and the performance of the optical model in recognition and detection. The MATLAB © software was used for simulating the models. PCA is a technique used for identifying patterns in data and representing the data in order to highlight any similarities or differences. The identification of patterns in data of high dimensions (more than three dimensions) is too difficult because the graphical representation of data is impossible. Therefore, PCA is a powerful method for analyzing data. IPCA is another statistical tool for identifying patterns in data. It uses information theory for improving PCA. The joint transform correlator (JTC) is an optical correlator used for synthesizing a frequency plane filter for coherent optical systems. The IPCA algorithm, in general, behaves better than the PCA algorithm in the most of the applications. It is better than the PCA algorithm in image compression because it obtains higher compression, more accurate reconstruction, and faster processing speed with acceptable errors; in addition, it is better than the PCA algorithm in real-time image detection due to the fact that it achieves the smallest error rate as well as remarkable speed. On the other hand, the PCA algorithm performs better than the IPCA algorithm in face recognition because it offers an acceptable error rate, easy calculation, and a reasonable speed. Finally, in detection and recognition, the performance of the digital model is better than the performance of the optical model.
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This article examines union revitalization in Central and Eastern Europe, focusing on two countries: Hungary and Latvia. Trade unions have not only had to cope with a declining membership base, but have also had to respond to austerity programmes and government cuts in public sector employment. We argue that the inability of unions to provide a strong voice for alternative policies to the current neoliberal orthodoxy has been driven by a declining membership base, but also by weakened social dialogue mechanisms, limited industrial representation and an ageing membership profile, exacerbated by net outward migration in recent years. However, we find that unions in Latvia and Hungary have responded differently to these issues.
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The study of acoustic communication in animals often requires not only the recognition of species specific acoustic signals but also the identification of individual subjects, all in a complex acoustic background. Moreover, when very long recordings are to be analyzed, automatic recognition and identification processes are invaluable tools to extract the relevant biological information. A pattern recognition methodology based on hidden Markov models is presented inspired by successful results obtained in the most widely known and complex acoustical communication signal: human speech. This methodology was applied here for the first time to the detection and recognition of fish acoustic signals, specifically in a stream of round-the-clock recordings of Lusitanian toadfish (Halobatrachus didactylus) in their natural estuarine habitat. The results show that this methodology is able not only to detect the mating sounds (boatwhistles) but also to identify individual male toadfish, reaching an identification rate of ca. 95%. Moreover this method also proved to be a powerful tool to assess signal durations in large data sets. However, the system failed in recognizing other sound types.
Resumo:
Industry 4.0 refers to the 4th industrial revolution and at its bases, we can see the digitalization and the automation of the assembly line. The whole production process has improved and evolved thanks to the advances made in networking, and AI studies, which include of course machine learning, cloud computing, IoT, and other technologies that are finally being implemented into the industrial scenario. All these technologies have in common a need for faster, more secure, robust, and reliable communication. One of the many solutions for these demands is the use of mobile communication technologies in the industrial environment, but which technology is better suited for these demands? Of course, the answer isn’t as simple as it seems. The 4th industrial revolution has a never seen incomparable potential with respect to the previous ones, every factory, enterprise, or company have different network demands, and even in each of these infrastructures, the demands may diversify by sector, or by application. For example, in the health care industry, there may be e a need for increased bandwidth for the analysis of high-definition videos or, faster speeds in order to have analytics occur in real-time, and again another application might be higher security and reliability to protect patients’ data. As seen above, choosing the right technology for the right environment and application, considers many things, and the ones just stated are but a speck of dust with respect to the overall picture. In this thesis, we will investigate a comparison between the use of two of the available technologies in use for the industrial environment: Wi-Fi 6 and 5G Private Networks in the specific case of a steel factory.
Resumo:
O suprimento de tomates para processamento industrial é uma atividade relativamente complexa. Plantas industriais de larga escala necessitam de elevados volumes diários de matéria-prima. Por outro lado, há alta perecibilidade dos frutos e a colheita ainda é predominantemente manual. Um modelo matemático foi desenvolvido com o propósito de entender objetivamente o processo de suprimento de tomate e, também, vislumbrar possibilidades de sua otimização. A simulação a partir do modelo pode gerar cenários que, quando comparados com o desempenho efetivamente observado em campo, evidenciam a importância da gestão acurada, com a presença de potenciais ganhos financeiros expressivos na cadeia de suprimentos a partir da redução de tempos, perdas e custos. As perdas de produto poderiam ser reduzidas de mais de 2% para algo inferior a 1%. A menor capacidade ociosa traduzir-se-ia em um menor custo de oportunidade e aumento de receita. Para uma fábrica com um consumo de tomates de 336 mil toneladas por ano, a melhoria no suprimento de matéria-prima poderia resultar em ganhos estimados em R$ 6 milhões por ano.
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We present results on strange and multistrange particle production in Au + Au collisions at root s(NN) = 62.4 GeV as measured with the STAR detector at RHIC. Midrapidity transverse momentum spectra and integrated yields of K(S)(0), Lambda, Xi, and Omega and their antiparticles are presented for different centrality classes. The particle yields and ratios follow a smooth energy dependence. Chemical freeze-out parameters, temperature, baryon chemical potential, and strangeness saturation factor obtained from the particle yields are presented. Intermediate transverse momentum (p(T)) phenomena are discussed based on the ratio of the measured baryon-to-meson spectra and nuclear modification factor. The centrality dependence of various measurements presented show a similar behavior as seen in Au + Au collisions at root s(NN) = 200 GeV.
Resumo:
The Pirapo river watershed (Parana State, Brazil) compounds a relatively industrialized and urbanized region, undergoing great pressure from the discharge of industrial, agricultural and domestic wastes. We evaluated the environmental quality of ten streams belonging to this watershed in April and June 2008 by performing acute and chronic toxicity tests with Daphnia similis and Ceriodaphnia silvestrii from water and sediment samples. We tested the hypothesis that the streams located in urban areas are more exposed to the influence of pollutants, than those outside the city limits. In addition, we obtained the measures of physical and chemical parameters, and identified the main polluted sources. Contrary to what was expected, the rural streams were more toxic than those located in urban area. These results demonstrate that the water bodies located in rural areas are being affected by the pollution of aquatic ecosystems as far as those found in urban areas, requiring the same attention of environmental managers in relation to its monitoring.
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Thermoplastic starch (TPS) was modified with ascorbic acid and citric acid by melt processing of native starch with glycerol as plasticizer in an intensive batch mixer at 160 degrees C. It was found that the molar mass decreases with acid content and processing time causing the reduction in melting temperature (T(m)). As observed by the results of X-ray diffraction and DSC measurements, crystallinity was not changed by the reaction with organic acids. T(m) depression with falling molar mass was interpreted on the basis of the effect of concentration of end-chain units, which act as diluents. FTIR did not show any appreciable change in starch chemical compositions, leading to the conclusion that the main changes observed were produced by the variation in molar mass of the material. We demonstrated that it is possible to decrease melt viscosity without the need for more plasticizer thus avoiding side-effects such as an increase in water affinity or relevant changes in the dynamic mechanical properties. (C) 2010 Elsevier B.V. All rights reserved.
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The aim of this study was to evaluate the potential of the fibrous material obtained from ethanol-water fractionation of bagasse as reinforcement of thermoplastic starches in order to improve their mechanical properties. The composites were elaborated using matrices of corn and cassava starches plasticized with 30 wt%glycerin. The mixtures (0,5,10 and 15 wt% bagasse fiber) were elaborated in a rheometer at 150 degrees C. The mixtures obtained were pressed on a hot plate press at 155 degrees C. The test specimens were obtained according to ASTM D638. Tensile tests, moisture absorption tests for 24 days (20-23 degrees C and 53% RH, ASTM E104), and dynamic-mechanical analyses (DMA) in tensile mode were carried out. Images by scanning electron microscopy (SEM) and X-ray diffraction were obtained. Fibers (10 wt% bagasse fiber) increased tensile strength by 44% and 47% compared to corn and cassava starches, respectively. The reinforcement (15 wt% bagasse fiber) increased more than fourfold the elastic modulus on starch matrices. The storage modulus at 30 C (E(30 degrees C)`) increased as the bagasse fiber content increased, following the trend of tensile elastic modulus. The results indicate that these fibers have potential applications in the development of biodegradable composite materials. (c) 2011 Elsevier B.V. All rights reserved.
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The residues generation is a quite serious problem in several industrial areas and also in the lumbering area. The search for the elimination or reduction of the volume of generated residues is endless, however limited, resulting in the search for a proper destination or better use, instead of simply burning it. A lot of uses and services are commonly proposed, but with low aggregated value to the residue. This work shows the usage viability of different discarded residues and wood composites in the production of an electric guitar. Cupiuba, ipe and jatoba residues have been used besides wood composites of pinus. The residues and wood composites have shown appropriate resistance, surfacing quality and design terms, and could be used to substitute the traditionally wood used in the production of the instrument as well as in other products of similar characteristics and with larger aggregated value.