Angles-only navigation is simple, robust, and well proven in many applications. However, it is sometimes ill-conditioned for orbital rendezvous and proximity operations because, without a direct range measurement, the distance to approaching satellites must be estimated by firing thrusters and observing the change in the target's bearing. Nevertheless, the simplicity of angles-only navigation gives it great appeal. The viability of this technique for relative navigation is examined by building a high-fidelity simulation and evaluating the sensitivity of the system to sensor errors. The relative performances of square-root filtering methods, including Potter, Carlson, and UD factorization filters, are compared to the conventional and Joseph formulations. Filter performance is evaluated during closed-loop "station keeping" operations in simulation.

abstract: Graphene has been extensively researched for both scientific and technological interests since its first isolation from graphite. The excellent transport properties and long spin diffusion length of graphene make it a promising material for electronic and spintronic device applications. This dissertation deals with the optimization of magnetic field sensing in graphene and the realization of nanoparticle induced ferromagnetism in graphene towards spintronic device applications. Graphene has been used as a channel material for magnetic sensors demonstrating the potential for very high sensitivities, especially for Hall sensors, due to its extremely high mobility and low carrier concentration. However, the two-carrier nature of graphene near the charge neutrality point (CNP) causes a nonlinearity issue for graphene Hall sensors, which limits useful operating ranges and has not been fully studied. In this dissertation, a two-channel model was used to describe the transport of graphene near the CNP. The model was carefully validated by experiments and then was used to explore the optimization of graphene sensor performance by tuning the gate operating bias under realistic constraints on linearity and power dissipation. The manipulation of spin in graphene that is desired for spintronic applications is limited by its weak spin-orbit coupling (SOC). Proximity induced ferromagnetism (PIFM) from an adjacent ferromagnetic insulator (FMI) provides a method for enhancing SOC in graphene without degrading its transport properties. However, suitable FMIs are uncommon and difficult to integrate with graphene. In this dissertation, PIFM in graphene from an adjacent Fe3O4 magnetic nanoparticle (MNP) array was demonstrated for the first time. Observation of the anomalous Hall effect (AHE) in the device structures provided the signature of PIFM. Comparison of the test samples with different control samples conclusively proved that exchange interaction at the MNP/graphene interface was responsible for the observed characteristics. The PIFM in graphene was shown to persist at room temperature and to be gate-tunable, which are desirable features for electrically controlled spintronic device applications. The observation of PIFM in the MNP/graphene devices indicates that the spin transfer torque (STT) from spin-polarized current in the graphene can interact with the magnetization of the MNPs. If there is sufficient STT, spin torque oscillation (STO) could be realized in this structure. In this dissertation, three methods were employed to search for signatures of STO in the devices. STO was not observed in our devices, most likely due to the weak spin-polarization for current injected from conventional ferromagnetic contacts to graphene. Calculation indicates that graphene should provide sufficient spin-polarized current for exciting STO in optimized structures that miniaturize the device area and utilize optimized tunnel-barrier contacts for improved spin injection. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2019

Svensk polis står inför stora utmaningar och speciellt i de utsatta områdena. I polisens strävanså ingår det utvidga den lokalt förankrade polisen. Författarnas ambition är att titta på begreppet Community Policing eller COP och om begreppet tillämpas av svensk polis. Studien är en litteraturöversikt med systematisk ansats. I resultatet kommer författarna fram till att det finns många barriärer internationellt för implementeringen av Community Policing. I diskussionen fördessa teman fram som tydliga problem;  1. Resursbrist, 2. Utbildning, 3. Motstånd inom polisen, 4. Eventuell effekt, 5. Mätbarhet av resultat.  Vidare i diskussionen rekommenderar författarna att COP är ett koncept som borde vara intressant för svensk polis att arbeta utifrån men att problemen som nämnts ovan även skulle kunna vara barriärer i en svensk kontext. Oavsett är satsningen som krävs troligtvis väldigt stor enligt författarna, däremot skulle ett områdespoliskoncept med Community Policing som filosofi kunna bli en ny byggsten inom svensk polis.

Thesis is focused on attitudes of the 4th and the 5th grade pupils towards people with disabilities. Specifically it is the influence of influencing the manifestations of otherness on the cultivation of pupils' attitudes towards the issue. Thesis defines the manifestation and otherness of selected types of disabilities. In context of modify of pupils' attitudes, findings from the psychosocial development pupils in late middle childhood are summarized. Thesis also presents the personality of the class teacher from the perspective of the teacher's professional competencies. The aim of the thesis is to find out what are the attitudes of the 4th and the 5th grades of primary schools towards people with disabilities and whether the teaching process can modify the attitudes. Through a research survey 455 pupils from randomly selected primary schools in Prague, it was found that half of them have difficulty accepting otherness of people with disabilities. The least accepted group are people with mental disabilities. Thesis also presents a relations between positive attitudes of pupils and social proximit of people with disabilities, also realtions between the pupils' ignorance of the issue, low awareness and together with lower social proximity. Next it presents relations between the manifest otherness,...

The building of the town hall Brno Kohoutovice is situated on the site next to the local hospital. Currently, there is a widespread paved area, which has become the place for markets and other cultural activities. Town hall completed urban structure, built on the most visible plot, and closes the plaza on the east side. From the south, the square is open to Kohoutovická valley. It is closed and opened at the same time by a colonnade. Functional composition is expressed in both - size and material. On a solid concrete base, which holds cultural and social events, lie two light steel boxes dedicated to the town hall. The middle part is cantilivered into the square, which symbolizes the proximity of town hall offices to the citizens. It is dedicated to the departements, which are in daily contact with the public. The upper part with large terrace has representative function. There are the internal departements and a ceremonial hall.

京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第19041号 / 農博第2119号 / 新制||農||1032(附属図書館) / 学位論文||H27||N4923(農学部図書室) / 31992 / 京都大学大学院農学研究科応用生命科学専攻 / (主査)教授 植田 充美, 教授 渡邊 隆司, 教授 梅澤 俊明 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

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The explosive growth of Online Social Networks (OSNs) over the past few years has redefined the way people interact with existing friends and especially make new friends. OSNs have also become a great new marketplace for trade among the users. However, the associated privacy risks make users vulnerable to severe privacy threats. In this dissertation, we design protocols for private distributed social proximity matching and a private distributed auction based marketplace framework for OSNs. In particular, an OSN user looks for matching profile attributes when trying to broaden his/her social circle. However, revealing private attributes is a potential privacy threat. Distributed private profile matching in OSNs mainly involves using cryptographic tools to compute profile attributes matching privately such that no participating user knows more than the common profile attributes. In this work, we define a new asymmetric distributed social proximity measure between two users in an OSN by taking into account the weighted profile attributes (communities) of the users and that of their friends’. For users with different privacy requirements, we design three private proximity matching protocols with increasing privacy levels. Our protocol with highest privacy level ensures that each user’s proximity threshold is satisfied before revealing any matching information. The use of e-commerce has exploded in the last decade along with the associated security and privacy risks. Frequent security breaches in the e-commerce service providers’ centralized servers compromise consumers’ sensitive private and financial information. Besides, a consumer’s purchase history stored in those servers can be used to reconstruct the consumer’s profile and for a variety of other privacy intrusive purposes like directed marketing. To this end, we propose a secure and private distributed auction framework called SPA, based on decentralized online social networks (DOSNs) for the first time in the literature. The participants in SPA require no trust among each other, trade anonymously, and the security and privacy of the auction is guaranteed. The efficiency, in terms of communication and computation, of proposed private auction protocol is at least an order of magnitude better than existing distributed private auction protocols and is suitable for marketplace with large number of participants.

Influenza A virus (IAV) is a zoonotic pathogen which consists of a large genetically and antigenically diverse viral population. Swine IAVs not only cause disease outbreaks among swine, but can also be transmitted to humans, causing sporadic infections and even pandemic outbreaks apart from human seasonal IAV. Antigenic variant identification is fundamental for an effective vaccination program. Red blood cell based immunological tests have been used to identify antigenic variants among circulating IAV strains. Because these assays require viral isolation, they are time consuming and labor intensive. Thus only limited numbers of virus isolates are subjected to antigenic characterization in influenza surveillance studies and much of this important information is lost. In this project, a novel polyclonal antibody based proximity ligation assays (polyPLA) was developed and validated to characterize IAV antigenic variants directly using clinical samples. The application of this method with clinical samples from influenza surveillance had aided in the understanding of the antigenic evolution of IAV in human and swine populations.

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