Goethe’s Erlkönig as cold-blooded seducer in transmedia

The article analyses the presentation of the Erlkönig as a cold seducer in transmedia. In this context, not only the famous ballad of Johann Wolfgang von Goethe from 1782 is regarded, but also transformations in arts, illustrations and especially in film are analysed. Within this regard the violent and coldblooded attitude of the Erlkönig towards the child is focused. In the center of the analysis is the recitation and reception of Goethe’s ballad in Andrew Birkin’s Stefan Zweig-adaptation Burning Secret from 1988. The film expands the poetic source by exposing subtexts such as homoerotic, when the baron von Hau-enstein is presented as a cold seducer like the Erlkönig, who attracts the young Edmund. At the same time Birkin adds another interpretation of the ballad, which doesn’t explain the death of the child as something physical, but as an initiation of becoming an adult and the included desires.The article analyses the presentation of the Erlkönig as a cold seducer in transmedia. In this context, not only the famous ballad of Johann Wolfgang von Goethe from 1782 is regarded, but also transformations in arts, illustrations and especially in film are analysed. Within this regard the violent and coldblooded attitude of the Erlkönig towards the child is focused. In the center of the analysis is the recitation and reception of Goethe’s ballad in Andrew Birkin’s Stefan Zweig-adaptation Burning Secret from 1988. The film expands the poetic source by exposing subtexts such as homoerotic, when the baron von Hau-enstein is presented as a cold seducer like the Erlkönig, who attracts the young Edmund. At the same time Birkin adds another interpretation of the ballad, which doesn’t explain the death of the child as something physical, but as an initiation of becoming an adult and the included desires

Real time adaptive relay settings for Microgrid protection verified using Hardware in Loop

Microgrids with penetration of renewables is imposing new challenges for system protection. Renewables are characterized with high source impedance which limit the short circuit current. The value of short-circuit current is limited due to converters used which limit the current to a maximum of 1.1 to 1.5 times maximum rated load current. This can result in faults during the islanded mode of microgrid to go unnoticed if the relay settings are not adapted to account for it. The presence of such uncleared faults in the microgrid can result in exposing it to overcurrent for a long time which can damage the equipment. One solution is to have different protection element pickup settings for different modes of operation. This report discusses the development of an algorithm to switch these settings upon microgrid state changes and test the algorithm using OPAL-RT hardware in loop real-time testing with SEL-351S relay as the hardware

Perpaduan Metode Newton-Raphson Dan Metode Euler Untuk Menyelesaikan Persamaan Gerak Pada Osilator Magnetik

Telah dilakukan analisis untuk memperoleh solusi persamaan differensial nonlinear dari osilator magnetik dengan memadukan metode Newton-Raphson dan metode Euler. Nilai parameter gaya magnetik k diperoleh dengan menggantungkan magnet seperti ayunan matematis. Dalam model numerik, metode Newton-Raphson diperoleh nilai jarak kesetimbangan antara magnet statis 1 dengan magnet utama sebesar 0,01512559816833 m. Adapun dari metode Euler didapatkan model osilator magnetik mulai nonlinear pada saat diberikan simpangan 0,010524 m. Hasil analisis menunjukkan besarnya masukan awal sangat berpengaruh terhadap kestabilan sistem osilator magnetik di waktu selanjutnya. Perpaduan metode Newton-Raphson dan metode Euler dapat digunakan untuk menyelesaikan persamaan differensial nonlinear osilator magnetik

A Classification of Infographics

Classifications are useful for describing existing phenomena and guiding further investigation. Several classifications of diagrams have been proposed, typically based on analytical rather than empirical methodologies. A notable exception is the work of Lohse and his colleagues, published in Communications of the ACM in December 1994. The classification of diagrams that Lohse proposed was derived from bottom-up grouping data collected from sixteen participants and based on 60 diagrams. Mean values on ten Likert-scales were used to predict diagram class. We follow a similar methodology to Lohse, using real-world infographics (i.e. embellished data charts) as our stimuli. We propose a structural classification of infographics, and determine whether infographics class can be predicted from values on Likert scales

Nanoosakeste plasmonlõksustamine

http://tartu.ester.ee/record=b2654244~S1*es

Investigating the impact of lattice induced strain on the magnetic properties of NiFe2O4 in ultra-thin films

The magnetic ferrites are of significant interest in the field of spintronics; being magnetic insulators and having a highly tuneable inverse spinel structure. NiFe2O4 has a multitude of applications across electronic devices such as in high frequency microwave devices, magnetic memory drives and spin filters. The high functionality of NiFe2O4 across microelectronics has resulted in a substantial increase in the number investigations into understanding its magnetic properties. Induced lattice strain on NiFe2O4 via a substrate lattice mismatch has a profound effect on the observed magnetic properties. This research aims to compare the effects of tensile and compressive strains on NiFe2O4 and understand the in-plane and out of plane relationship on the changing magnetic properties. NiFe2O4 films were consistently grown via PLD on three different substrates: Al2O3, MgO and MgAl2O4, each inducing a lattice strain of 12.13%, 0.76% and -3.36% respec- tively, with an average thickness of 11 nm. Characterisations of the magnetic properties were taken by VSM - producing hysteresis loops - and structural properties undertaken by XRD and TEM. The results highlight the significance of the strain effect, particularly in relation to the angular dependence of coercive and retentive properties. The NiFe2O4 films were found to have in-plane emu/cc values of ∼200 on all three substrates. XRD data shows that NiFe2O4 was predominantly grown in the (222) plane and exhibited line broadening and peak shifts in accordance with the strain. TEM images show good single crystal growth and epitaxy on all three samples

Historical Building Inspection using the Unmanned Aerial Vehicle

Building inspection is very much required for all buildings especially those historical ones to maintain the structure condition and the safety of the people around. Visual inspection is commonly conducted using manual descriptive information carried out by the inspector personally. The problem with this technique of assessment is that the time needed to write all the defect description on site and to access difficult area can be hazardous. The aim of performing historical building inspection on Tan Swee Hoe’s historical mansion is to evaluate the overall condition of the building with Unmanned Aerial Vehicle (UAV) image assisted inspection and Condition Survey Protocol 1 (CSP1) method. From this drone assisted inspection, it shows that the time spent on site is less than half an hour and the data collected being evaluated with CSP1 method defined that the building is dilapidated. The overall building condition is in red class and require serious attention to avoid any injuries to the visitors. To prevent a possible failure of a building in the coming years, a suitable condition inspection has been carried out to identify the current existing defect so that it would be fixed before further damage to the building and visitors around it

Development Of Generator Circuit For Electron Temperature And Density Probe (Tenep) For Mysat

Malaysia Youth Satellite (MYSAT) is a scientific CubeSat-based project initiated by School of Aerospace Engineering Universiti Sains Malaysia in 2016. The objective of the MYSAT mission is to measure electron density in E-layer of ionosphere. This mission is driven from a study which reported that earthquake precursors can be analysed from the ionosphere, which opens the possibility in predicting future earthquakes. It was found that one of the common features shown from ionosphere data measurement from several earthquakes is the electron density. Electron temperature and density probe (TeNeP) is an instrument developed based on DC Langmuir Probe that could help researchers studies the ionosphere to potentially predict future earthquakes. The device develops a technique by measuring current-voltage (I-V) characteristics of an electrode immersed in charged plasma particles. The I-V characteristic of the plasma will then be retrieved from the device where the plasma’s electron and ion density together with the temperature can be acquired. MYSAT, a Cube-Sat based on a 1U platform could contribute into this on-going research. Hence, an already developed TeNeP generator circuit based on a 2U platform needs to be redeveloped for MYSAT’s 1U based platform. Several performance tests are performed to the TeNeP generator circuit in the preparation of the MYSAT mission

EmoPercept: EEG-based emotion classification through perceiver

Emotions play an important role in human cognition and are commonly associated with perception, logical decision making, human interaction, and intelligence. Emotion and stress detection is an emerging topic of interest and importance in the research community. With the availability of portable, cheap, and reliable sensor devices, researchers are opting to use physiological signals for emotion classification as they are more prone to human deception, as compared to audiovisual signals. In recent years, deep neural networks have gained popularity and have inspired new ideas for emotion recognition based on electroencephalogram (EEG) signals. Recently, widespread use of transformer-based architectures has been observed, providing state-of-the-art results in several domains, from natural language processing to computer vision, and object detection. In this work, we investigate the effectiveness and accuracy of a novel transformer-based architecture, called perceiver, which claims to be able to handle inputs from any modality, be it an image, audio, or video. We utilize the perceiver architecture on raw EEG signals taken from one of the most widely used publicly available EEG-based emotion recognition datasets, i.e., DEAP, and compare its results with some of the best performing models in the domain

CARLA+: An Evolution of the CARLA Simulator for Complex Environment Using a Probabilistic Graphical Model

In an urban and uncontrolled environment, the presence of mixed traffic of autonomous vehicles, classical vehicles, vulnerable road users, e.g., pedestrians, and unprecedented dynamic events makes it challenging for the classical autonomous vehicle to navigate the traffic safely. Therefore, the realization of collaborative autonomous driving has the potential to improve road safety and traffic efficiency. However, an obvious challenge in this regard is how to define, model, and simulate the environment that captures the dynamics of a complex and urban environment. Therefore, in this research, we first define the dynamics of the envisioned environment, where we capture the dynamics relevant to the complex urban environment, specifically, highlighting the challenges that are unaddressed and are within the scope of collaborative autonomous driving. To this end, we model the dynamic urban environment leveraging a probabilistic graphical model (PGM). To develop the proposed solution, a realistic simulation environment is required. There are a number of simulators—CARLA (Car Learning to Act), one of the prominent ones, provides rich features and environment; however, it still fails on a few fronts, for example, it cannot fully capture the complexity of an urban environment. Moreover, the classical CARLA mainly relies on manual code and multiple conditional statements, and it provides no pre-defined way to do things automatically based on the dynamic simulation environment. Hence, there is an urgent need to extend the off-the-shelf CARLA with more sophisticated settings that can model the required dynamics. In this regard, we comprehensively design, develop, and implement an extension of a classical CARLA referred to as CARLA+ for the complex environment by integrating the PGM framework. It provides a unified framework to automate the behavior of different actors leveraging PGMs. Instead of manually catering to each condition, CARLA+ enables the user to automate the modeling of different dynamics of the environment. Therefore, to validate the proposed CARLA+, experiments with different settings are designed and conducted. The experimental results demonstrate that CARLA+ is flexible enough to allow users to model various scenarios, ranging from simple controlled models to complex models learned directly from real-world data. In the future, we plan to extend CARLA+ by allowing for more configurable parameters and more flexibility on the type of probabilistic networks and models one can choose. The open-source code of CARLA+ is made publicly available for researchers