261 research outputs found

    Quantum Rangefinding

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    Quantum Rangefinding

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    Quantum light generated in non-degenerate squeezers has many applications such as sub-shot-noise transmission measurements to maximise the information extracted by one photon or quantum illumination to increase the probability in target detection. However, any application thus far fails to consider the thermal characteristics of one half of the bipartite down-converted photon state often used in these experiments. We show here that a maximally mixed state, normally viewed as nuisance, can indeed be used to extract information about the position of an object while at the same time providing efficient camouflaging against other thermal or background light

    Die Fiskalisierung des Strafverfahrens: Monetäre Sanktionen im Strafrecht

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    Die vorliegende, Ende Juli 2010 von der Bucerius Law School Hamburg als Dissertation angenommene, Abhandlung weist eindrücklich in einem ersten Hauptteil und einem dazugehörigen Anhang nach, dass monetäre Sanktionen, d. h. insbesondere Geldstrafen und Geldauflagen, in deutschen Strafverfahren eine überragende, historisch geradezu einmalige Bedeutung erlangt haben. Eine solche Entwicklung ist per se problematisch, da die Einnahmengenerierung nach den verschiedenen Strafzwecken nicht erforderlich ist und mit diesen in Konflikt treten kann. Im zweiten Hauptteil untersucht der Autor sodann detailliert drei Problemfelder im Zusammenhang mit Geldauflagen, die eine solche Entwicklung in sich birgt: Zum Einen sieht sich insbesondere die Verfahrenseinstellung gegen Geldauflage gemäß § 153a StPO seit jeher mit einem Legitimationsproblem konfrontiert. Zum Zweiten führen systematische Unklarheiten und ungelöste Rechtsprobleme zu Funktionsproblemen bei der Verhängung von Geldauflagen. Zum Dritten besteht bei Geldauflagen zugunsten gemeinnütziger Einrichtungen ein Zuteilungsproblem, weil Kriterien für eine objektive Verteilung benötigt werden

    How To Predict A Pop-Up Store – Developing A Data Based Framework For Digitizing The Location Choice Process And Prototyping At The Case Of St. Gallen (Ch)

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    We target identifying the needs for the fulfillment of location factors of pop-up retailers being determined by their core motivations and retail sector affiliation. We undertake to do both, to qualify, and to quantify their needs to gain at end of the day a profound description of various pop-up retail patterns. Through the use of a mixed-methods approach containing qualitative research through conducting interviews and qualitative content analysis as well as quantitative fulfillment of location factors through data analysis of multiple location data sources like Open Street Map, we try to gain first indications towards a deeper understanding of pop-up location decisions as well as to validate our hypothesis of the existence of pop-up retail patterns. We were able to validate three retail patterns through our qualitative research. Furthermore, we saw differences reflecting the particular motivations of running the ephemeral retail project. Despite our small shown sample of quantitative data for St. Gallen, we figured out the first indications that store density is a suitable indicator to understand pop-up retailers’ locations’ decisions. Nevertheless, there is a need to continue research in both terms, more quantitative data like footfall and financial transactions (turnovers) as well as bigger, more representative samples. Within the undertaken literature review we saw a lack of research in gaining a deeper understanding of the nature of pop-up retail in terms of location needs and how location decisions are made. We present results that may deal as a foundation for upcoming research. Moreover, we contribute to the state of research in patterns of retail location choice through a data-driven approach, which presents reasonable insights into the field of location intelligence of temporary retail

    Advances in quantum machine learning

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    Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experimental implementations in the discussion. The field's outlook is generally positive, showing significant promise. However, we believe there are appreciable hurdles to overcome before one can claim that it is a primary application of quantum computation.Comment: 38 pages, 17 Figure

    Design Requirements for AI-based Services Enriching Legacy Information Systems in Enterprises: A Managerial Perspective

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    Information systems (IS) have been introduced in enterprises for decades to generate business value. Historically systems that are deeply integrated into business processes and not replaced remain vital assets, and thus become legacy IS (LISs). To secure the future success, enterprises invest in innovative technologies such as artificial intelligence-based services (AIBSs), enriching LISs and assisting employees in the execution of work-related tasks. This study develops design requirements from a managerial perspective by following a mixed-method approach. First, we conducted ten interviews to formulate requirements to design AIBSs. Second, we evaluated their business value using an online survey (N = 101). The results indicate that executives consider design requirements as relevant that create strategic advancements in the short term. With the help of our findings, researchers can better understand where further in-depth studies are needed to refine the requirements. Practitioners can learn how AIBSs generate business value when enriching LISs

    Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations

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    Information systems (IS) are widely used in organisations to improve business performance. The steady progression in improving technologies like artificial intelligence (AI) and the need of securing future success of organisations lead to new requirements for IS. This research in progress firstly introduces the term AI-based services (AIBS) describing AI as a component enriching IS aiming at collaborating with employees and assisting in the execution of work-related tasks. The study derives requirements from ten expert interviews to successful design AIBS following Design Science Research (DSR). For a successful deployment of AIBS in organisations the D&M IS Success Model will be considered to validated requirements within three major dimensions of quality: Information Quality, System Quality, and Service Quality. Amongst others, preliminary findings propose that AIBS must be preferably authentic. Further discussion and research on AIBS is forced, thus, providing first insights on the deployment of AIBS in organisations

    A practical guide to loss measurements using the Fourier transform of the transmission spectrum

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    Analyzing the internal loss characteristics and multimodedness of (integrated) optical devices can prove difficult. One technique to recover this information is to Fourier transform the transmission spectrum of optical components. This article gives instruction on how to perform the transmission measurement, prepare the data, and interpret the Fourier spectrum. Our guide offers insights into the influence of sampling, windowing, zero padding as well as Fourier spectrum peak heights and shapes which are previously neglected in the literature but have considerable impact on the results of the method. For illustration, we apply the method to a Bragg-reflection waveguide. We find that the waveguide is multimodal with two modes having very similar group refractive indices but different optical losses

    Analysis of Consumer Energy Behavior in the Arboretum

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    Our project, sponsored by the University of Worcester, established a baseline energy consumption profile of residents within the Arboretum in Worcester, England. We performed door-to-door canvassing, spoke with 240 residents, and received a total of 102 survey responses. We found that residents struggle with energy bills, costs of retrofits, and heating. We recommended that future researchers continue to engage the community, create an educational campaign to teach energy conservation behaviors, and facilitate smart meter implementation within the Arboretum
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