2,702 research outputs found

    The Konya earthquakes of 10–11 September 2009 and soil conditions in Konya, Central Anatolia, Turkey

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    Earthquakes registering magnitudes <i>M</i><sub>d</sub> = 4.5 and 4.7 struck the city of Konya, Central Anatolia, on 10–11 September 2009, causing very slight damages. The earthquake epicenters were located at the east of Sille District along the Konya Fault Zone, a dip-slip fault. The nature and seismicity of the fault zone indicates that it is capable of producing earthquakes of moderate magnitudes. This paper summarizes the geologic data along the fault zone and documents groundwater conditions and analyzes borehole and geotechnical data of the Konya city. The residential area of the city covers an area of approximately 1150 square kilometers and consists almost entirely of flat land except for a small part of rugged land in the southwestern corner. Groundwater and geotechnical data were collected and analyzed to evaluate the liquefaction potential of deposits under the Konya city. This preliminary investigation indicates that areas for liquefaction are generally limited to the eastern and east central parts of the city

    Erfolgsfaktoren zur Implementierung eines erfolgsabhängigen Vergütungssystems für Innendienstmitarbeiterinnen und Innendienstmitarbeiter von Lebensversicherungsunternehmen

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    The aim of this research is to identify the relevant factors for a successful implementation of a performance-based compensation in the life insurance industry in Germany. This investigation was conducted by means of qualitative social research. The target group of this examination were employees from various German life insurance companies whose task it was to examine and correct new life insurance applications and to approve contracts. Currently, it is not usual to pay performance-based compensation to the target group, although this type of compensation is common practice among sales representatives. This investigation studied which factors were key in ensuring the intended positive effects of performance-based compensation. The introduction of this type of compensation to the target group faced challenges due to its lack of experience with these types of salary systems. In addition the motivational process including incentives to motivate the target group were considered. Another objective of this research was to define appropriate performance goals for the target group. Individual as well as group performance goals were evaluated. For the target group performance goals involving the processing and editing of new applications, contract approvals as well as telephone consultations were found to be suitable. A composition of a various type of salary system was also examined. It was found that the successful implementation of a performance-based compensation is based on legal, economic and social factors. The results of this research showed that performance-based compensation can also have positive effects on the company as well as other employees outside of the target group. In addition to the positive effects, there were various risks found in the introduction of performance-based compensation, mainly involving the employees due to their inexperience with this type of salary system. In conclusion, the implementation of a performance-based compensation received wide approval from the life insurance companies and their employees. Due to the wide acceptance, open-mindedness and curiosity that this compensation received from the employees, a practical implementation would be recommended

    An Incremental Tensor Train Decomposition Algorithm

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    We present a new algorithm for incrementally updating the tensor-train decomposition of a stream of tensor data. This new algorithm, called the tensor-train incremental core expansion (TT-ICE) improves upon the current state-of-the-art algorithms for compressing in tensor-train format by developing a new adaptive approach that incurs significantly slower rank growth and guarantees compression accuracy. This capability is achieved by limiting the number of new vectors appended to the TT-cores of an existing accumulation tensor after each data increment. These vectors represent directions orthogonal to the span of existing cores and are limited to those needed to represent a newly arrived tensor to a target accuracy. We provide two versions of the algorithm: TT-ICE and TT-ICE accelerated with heuristics (TT-ICE∗^*). We provide a proof of correctness for TT-ICE and empirically demonstrate the performance of the algorithms in compressing large-scale video and scientific simulation datasets. Compared to existing approaches that also use rank adaptation, TT-ICE∗^* achieves 57×\times higher compression and up to 95% reduction in computational time.Comment: 22 pages, 7 figures, for the python code of TT-ICE and TT-ICE∗^* algorithms see https://github.com/dorukaks/TT-IC
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