Sensor Signal and Information Processing II

In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing

Generalized averaged Gaussian quadrature and applications

A simple numerical method for constructing the optimal generalized averaged Gaussian quadrature formulas will be presented. These formulas exist in many cases in which real positive GaussKronrod formulas do not exist, and can be used as an adequate alternative in order to estimate the error of a Gaussian rule. We also investigate the conditions under which the optimal averaged Gaussian quadrature formulas and their truncated variants are internal

MS FT-2-2 7 Orthogonal polynomials and quadrature: Theory, computation, and applications

Quadrature rules find many applications in science and engineering. Their analysis is a classical area of applied mathematics and continues to attract considerable attention. This seminar brings together speakers with expertise in a large variety of quadrature rules. It is the aim of the seminar to provide an overview of recent developments in the analysis of quadrature rules. The computation of error estimates and novel applications also are described

Tren, metode, dan tantangan dalam penelitian di bidang sistem informasi: systematic literature review

Penelitian di bidang Sistem Informasi telah banyak dilakukan di seluruh dunia. Salah satu bentuk atau hasil dari sebuah penelitian adalah artikel ilmiah. Banyaknya artikel ilmiah di bidang Sistem Informasi membuat topik yang dibahas juga cukup beragam. Mengetahui tren metode yang digunakan dalam artikel ilmiah juga menjadi pembahasan yang menarik. Tentunya dari sekian banyak penelitian yang dilakukan dapat dipastikan ada berbagai macam tantangan yang dihadapi dalam pengerjaannya. Terkadang dalam penelitian juga menyisakan pertanyaan yang masih belum terjawab. Oleh karena itu, penelitian ini memiliki tujuan untuk mengetahui tren dari topik, metode, dan tantangan serta mengumpulkan open question yang belum terjawab pada penelitian bidang Sistem Informasi pada tahun 2017-2021. Analisis tren ini dapat dilakukan dengan menggunakanmetode systematic literature review dengan menggunakan ScienceDirect sebagai sumber data. Hasil penelitian menunjukkan tren topik penelitian di bidang Sistem Informasi adalah “Data/Information Management” dengan persentase sebesar 31.73% dari 104 artikel yang ditemukan. Tren metode yang terjadi adalah penggunaan metode “Survey/Interview” dengan persentase sebesar 22.37%. Tidak semua artikel menyebutkan tantangan yang mereka hadapi sehingga didapat 37 tantangan dari 104 artikel. Tantangan yang paling banyak dihadapi adalah mengenai human resource problem dengan persentase 21.62%. Tidak semua artikel penelitian menyisakan open question, sehingga hanya ditemukan 4 pertanyaan yang masih tersisa dari 104 artikel yang dianalisis

Feature Papers of Drones - Volume II

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 24–41 are focused on drone applications, but emphasize two types: firstly, those related to agriculture and forestry (articles 24–35) where the number of applications of drones dominates all other possible applications. These articles review the latest research and future directions for precision agriculture, vegetation monitoring, change monitoring, forestry management, and forest fires. Secondly, articles 36–41 addresses the water and marine application of drones for ecological and conservation-related applications with emphasis on the monitoring of water resources and habitat monitoring. Finally, articles 42–54 looks at just a few of the huge variety of potential applications of civil drones from different points of view, including the following: the social acceptance of drone operations in urban areas or their influential factors; 3D reconstruction applications; sensor technologies to either improve the performance of existing applications or to open up new working areas; and machine and deep learning development

Influence of the magnetic field on the transmission characteristics and the neutrino mass systematic of the KATRIN experiment

The thesis at hand has successfully investigated and characterized the extended magnet system of the KATRIN experiment and implemented a detailed simulation model to take into account all field contributions. A concise modeling and understanding of the magnetic field close to the analyzing plane is crucial for a precise measurement and analysis of the neutrino mass with a sensitivity of 200 meV (90 % C.L.). A key aspect of the work performed here is that the contributions of individual magnets to the field in the analyzing plane in the spectrometer have been identified for various configurations. Based on these measurements, the previously undetermined remaining magnetic background field could be quantified. The advanced magnetic field model of this thesis allows to significantly reduce previously unexplained field deviations, verified by an in-depth analysis of extensive transmission function measurements with an electron gun, offering a sharp energy distribution and small angular spread. Of key importance thereby was a precise reconstruction of the emitted electrons of the electron gun in Monte Carlo simulations and the implementation of a realistic electron spectrum of the electron gun in the analysis framework. When all magnetic field contributions are taken into account, the transmission properties of the spectrometer can be determined with an accuracy level which is improved by a factor 3 in comparison to previous analyses. Correspondingly, the magnetic field there is determined to an unprecedented accuracy with a deviation between measurement and simulation of (3 ± 11) μT when a field of 363 μT is applied. Finally, the influence of identified magnetic field deviations on the neutrino mass sensitivity of the KATRIN experiment is studied by means of extensive ensemble tests. From this, an upper limit on the magnetic field of 585 μT in the KATRIN spectrometer is deduced to restrict the additional contribution to the systematic uncertainty budget to a level of 1 % for an optimal measurement of the neutrino mass