11 resultados para E-Plane Sectoral Horn Feeds
em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland
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Selostus: Sisäruokintakauden energiamäärien vaikutus risteytysemolehmien tuotantoon
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Selostus: Tasaruokinnan ja vaihtoehtoisten rehujen soveltuvuus emolehmien talvikauden ruokintaan
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In this paper aspects of design for manufacturability and assembly (DFMA) are applied to the design of coaxially fed standard gain horn antenna for 1.70 - 2.60 GHz. Possibilities to utilize cross-technological approach method is examined. Methods of DFMA for laser processing are covered and practical design guides and methods are developed. Antenna construction for easy manufacturing and specialized performance is shown. Required dimensions and tolerances are discussed and suitable materials for laser processing are selected.
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Soitinnus: Käyrätorvi, ork.
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Dedicatio: Carolus Frid. Meinander.
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Ever since Siad Barre’s regime was toppled in the beginning of the 1990’s Somalia has been without an effective central government. As a result Somalia has remained in an anarchic condition of state collapse for nearly two decades. This anarchy has often been put forward as a potential breeding ground for terrorism. As a response to this threat the United States has undertaken several policies, initiatives, and operations in the Horn of Africa generally and in Somalia specifically. In this descriptive study a twofold analysis has been undertaken. First, conditions in present day Somalia as well as Somali history have been analyzed to evaluate the potential Somalia holds as a terrorist base of operations or a recruiting- or staging area. Second, US strategies and actions have been analyzed to evaluate the adequacy of the US response to the threat Somalia poses in terms of terrorism. Material for the analyses have been derived from anthropological, political, and security studies dealing with Somalia. This material has been augmented by a wide range of news coverage, western and non-western. Certain different US policy documents from different levels have been chosen to represent US strategies for the Global War on Terrorism. Because Somali social institutions, such as the clan system, hold great weight in Somali society, Somalia is a difficult area of operations for terrorist networks. In addition the changing nature of Somali alliances and the tangled webs of conflict that characterize present day Somalia aggravate the difficulties that foreign terrorist networks would encounter in Somalia, would they choose to try to utilize it in any great extent. The US has taken potential terrorism threats in Africa and specifically Somalia very seriously. US actions in Somalia have mainly focused on apprehending or neutralizing terror suspects. Such policies, coupled with backing the Ethiopian invasion of Somalia may have actually turned out increasing Somalia’s terror potential.
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Nimeketiedot nimiönkehyksissä
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Feature extraction is the part of pattern recognition, where the sensor data is transformed into a more suitable form for the machine to interpret. The purpose of this step is also to reduce the amount of information passed to the next stages of the system, and to preserve the essential information in the view of discriminating the data into different classes. For instance, in the case of image analysis the actual image intensities are vulnerable to various environmental effects, such as lighting changes and the feature extraction can be used as means for detecting features, which are invariant to certain types of illumination changes. Finally, classification tries to make decisions based on the previously transformed data. The main focus of this thesis is on developing new methods for the embedded feature extraction based on local non-parametric image descriptors. Also, feature analysis is carried out for the selected image features. Low-level Local Binary Pattern (LBP) based features are in a main role in the analysis. In the embedded domain, the pattern recognition system must usually meet strict performance constraints, such as high speed, compact size and low power consumption. The characteristics of the final system can be seen as a trade-off between these metrics, which is largely affected by the decisions made during the implementation phase. The implementation alternatives of the LBP based feature extraction are explored in the embedded domain in the context of focal-plane vision processors. In particular, the thesis demonstrates the LBP extraction with MIPA4k massively parallel focal-plane processor IC. Also higher level processing is incorporated to this framework, by means of a framework for implementing a single chip face recognition system. Furthermore, a new method for determining optical flow based on LBPs, designed in particular to the embedded domain is presented. Inspired by some of the principles observed through the feature analysis of the Local Binary Patterns, an extension to the well known non-parametric rank transform is proposed, and its performance is evaluated in face recognition experiments with a standard dataset. Finally, an a priori model where the LBPs are seen as combinations of n-tuples is also presented