70 resultados para Coupled map lattices
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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This work focuses on the study of the determination on the possibilities of controlling the required moisture within the inside of film sealed packages. The task is based on the challenges faced by fresh food producers in actualizing a longer product shelf-life coupled with the growing complex desires coming from consumers in the aspect of quality. One way to realize this is by proper evaluation on the use of the flexible plastic films through permeation measurements on the required amount of moisture penetrating through the plastic film with the application of microperforation. A packaging material requires proper interaction on moisture transmission, between the product and the outside environment. The plastic film material that stands between, fresh fruits, vegetables and the outside environment could have appropriate respiration rates through possible micro holes. This work simulates similar process with the aid of water vapor transmission rate (WVTR) experiment using anhydrous CaCl2 as the desiccant, in studying the WVTR values of various perforated film materials at different conditions of storage (standard, fridge, and tropical conditions). However, the results showed absorption rates of water vapor at various conditions in grams of H2O/m2/24h.
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[N. 1:8500000].
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Kahdessa osassa painettu kartta.
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0-meridiaani: Lontoo. - Koordinaattiasteikko: N90°-55°[50°].
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1:4000.
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This literature review aims to clarify what is known about map matching by using inertial sensors and what are the requirements for map matching, inertial sensors, placement and possible complementary position technology. The target is to develop a wearable location system that can position itself within a complex construction environment automatically with the aid of an accurate building model. The wearable location system should work on a tablet computer which is running an augmented reality (AR) solution and is capable of track and visualize 3D-CAD models in real environment. The wearable location system is needed to support the system in initialization of the accurate camera pose calculation and automatically finding the right location in the 3D-CAD model. One type of sensor which does seem applicable to people tracking is inertial measurement unit (IMU). The IMU sensors in aerospace applications, based on laser based gyroscopes, are big but provide a very accurate position estimation with a limited drift. Small and light units such as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very popular, but they have a significant bias and therefore suffer from large drifts and require method for calibration like map matching. The system requires very little fixed infrastructure, the monetary cost is proportional to the number of users, rather than to the coverage area as is the case for traditional absolute indoor location systems.
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Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.