Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Capacity Allocation in Smart Gateway High Throughput Satellite Systems Using Matching Theory

In this paper, the performance of multibeam high throughput satellite systems, which employ the smart gateway diversity concept, is investigated and various capacity allocation schemes are examined. These satellite systems operate at high frequencies above 20 GHz. To study the system's capacity losses, the impact of the total atmospheric attenuation is incorporated and a novel flexible dynamic capacity allocation scheme is proposed based on the offered capacities of gateways and requested capacities of users’ beams. Specifically, the system's capacity losses, which constitute the system's performance metric, are determined as the summation of difference among the requested and offered capacities of paired user beams and gateways when this difference is positive. The proposed allocation scheme has low complexity, and its resource allocation algorithm is based on the fundamentals of matching theory, implemented in realistic scenarios where each gateway serves one or more users’ beams simultaneously. The proposed scheme has the same performance with the highly complex Exhaustive algorithm that estimates all possible matching combinations between gateways and users’ beams to find the minimum capacity losses. It is finally compared in terms of system's capacity losses with three other schemes, namely, the Fairness mechanism, a less complicated Fixed mechanism and a naive Random mechanism. The proposed scheme is better than the Fairness method in smaller probabilities and generally outperforms both the Fixed and Random methods.
MOVPE Growth Studies on Dilute Bismide Containing III/Vs & Development of an MOVPE In-Situ Gas Phase Analysis Setup

This is a report about the first setup of a recently developed, extremely sensitive, and very fast 3D quadrupole ion trap mass spectrometer inline in a metalorganic vapor phase epitaxy (MOVPE) system. This setup was developed ultimately for the decompositionand the interaction analysis of different established and novel metalorganic sources for MOVPE deposition of III/V semiconductors. To make insitu gas-phase and growth interaction analysis on a new level of sensitivity possible without disturbing the MOVPE growth process itself, an optimized experimental connection of the mass spectrometer to the MOVPE system is required. This work reports on the realization of such an experimental setup and provides first proof of concept for decomposition analysis. In addition, a comparison to previous studies and gas-phase analysis at MOVPE systems will be given in this work. The Authors contribution My contribution to this work was the planning, development and execution of the experimental setup and all decomposition experiments. The support for the mass spectrometer itself came from V. Derpmann and H. Y. Chung. All co-authors helped to interpret the data and to improve the manuscript written by me. MOVPE gas-phase analysis setup with newly designed, highly sensitive and real-time 3D quadrupole ion trap mass spectrometer L. Nattermann*, O. Maßmeier, E. Sterzer, V. Derpmann, H. Y. Chung, W. Stolz, K. Volz Material Sciences Center and Faculty of Physics, Philipps-Universität Marburg, Germany Carl Zeiss SMT GmbH, Oberkochen, Germany email: lukas.nattermann@physik.uni-marburg.de Lukas Nattermann, WZMW & Philipps-Universität Marburg, Hans-Meerwein-Str. 6 MzGb Kern D 02D 35a
Current progress of Pt and Pt-based electrocatalysts used for fuel cells

Due to the growing demand for energy and impending environmental issues, fuel cells have attracted significant attention as an alternative to conventional energy technologies. As cost is the main inhibitor of this technology, low cost catalysts with high activity and stable catalytic performance are the key to large scale application of fuel cells. The development and recent advancements of Pt and Pt-based electrocatalysts are discussed in this review. Discussion is mainly focused on the structure and composition of Pt and Pt-based electrocatalysts, which significantly affect the catalytic activities and durability of fuel cell catalysts. The electrocatalysts including Pt single metal, Pt-based alloys (including noble alloys, non-noble alloys, metal oxide alloys, and non-metal alloys), and structure-controlled alloys (nanopolyhedra, nanodendrites, and hollow and core–shell structures) were discussed. The activity, stability, and efficiency of Pt and Pt-based catalysts for both the oxygen reduction reaction (ORR) and methanol oxidation reaction (MOR) as well as the correlation between the catalytic performance, structure optimization, and composition modulation of catalysts are also discussed.
Non-rigid Registration

HGR dataset  M. Kawulok, J. Kawulok, J. Nalepa, and B. Smolka, “Self-adaptive algorithm for segmenting skin regions,” EURASIP Journal on Advances in Signal Processing, vol. 2014, no. 170, pp. 1– 22, 2014, doi: 10.1186/1687-6180-2014-170.  J. Nalepa and M. Kawulok, “Fast and Accurate Hand Shape Classification,” in Beyond Databases, Architectures, and Structures, vol. 424, S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, and D. Kostrzewa, Eds. Springer, 2014, pp. 364–373. doi: 10.1007/9783-319-06932-6_35.  T. Grzejszczak, M. Kawulok, and A. Galuszka, “Hand landmarks detection and localization in color images,” Multimedia Tools and Applications, vol. 75, no. 23, pp. 16363–16387, 2016, doi: 10.1007/s11042-015-2934-5.
Deformability enhancement of fiber-reinforced cementitious composite by incorporating recycled powder

Recycled powder (RP) from construction and demolish waste was used to replace fly ash and silica sand to enhance the tensile behavior of engineered cementitious composite (ECC) in the research. The average diameter of RP is less than 45 μm. Four mixtures of RP-ECCs were prepared, in which 50% and 100% of fly ash or silica sand were replaced by RP. The tensile strain-hardening and multiple cracking behaviors of RP-ECC specimens were extensively observed with the increasing tensile load. Results demonstrate that the replacement of fly ash and sand by RP promote the strain capacity of ECC specimens. Moreover, specimens with 50% RP showed superior tensile and compressive strength over those with 100% replacement ratio and the reference specimens. The analyses at micro-scale and meso-scale indicate that the replacement of fly ash by RP does not change the fracture toughness of the cementitious matrix, but significantly enhanced the fiber bridging capacity. While the replacement of sand by RP lowers the matrix fracture toughness and has a negligible effect on the fiber bridging capacity. Finally, the superior tensile strain capacity of RP-ECC is well-explained by the pseudo-strain hardening index.
Fingerprint Pore Comparison Using Local Features and Spatial Relations

High-resolution fingerprint recognition has been a hot topic for many years. Compared with a traditional fingerprint image, a high-resolution fingerprint image can provide more features, such as pores and ridge contours. Introducing these features into fingerprint comparison and recognition can improve the recognition accuracy and reduce the risk of identification errors. This paper proposes a novel method for comparing pores on high-resolution fingerprint images. The method can be divided into two steps. In the first step, fingerprints are aligned using the pixel-category-distance-based data-driven descending algorithm. Traditionally, fingerprints are aligned based on feature points, such as minutiae and singular points. Such alignment methods are not suitable when dealing with partial fingerprints because small overlapping areas often do not contain enough features to guarantee a correct alignment. In this research, the ridges and valleys on fingerprints are used in combination with the orientation field for alignment. The proposed algorithm performs well when aligning both partial and full fingerprints. The common areas between the two images can be estimated based on the alignment result. In the second step, pores lying in the common areas are selected for comparison. To improve the comparison accuracy, pores are compared using local features and spatial relations. A graph comparison algorithm is designed in this step. The experimental results show that the proposed method is more accurate than other state-of-the-art pore comparison algorithms.
Optimising power flow in a volatile electrical grid using a message passing algorithm

Current methods of optimal power flow were not designed to handle increasing level of volatility in the electrical networks, this thesis suggests that a message passing-based approach could be useful for managing power distribution in electricity networks. This thesis shows the adaptability of message passing algorithms and demonstrates and validates its capabilities in addressing scenarios with inherent fluctuations, in minimising load shedding and generation costs, and in limiting voltages. Results are promising but more work is needed for this to be practical to real networks.
High-Current Switched Capacitor Converter for On-Package VR With PDN Impedance Modeling

Digital ASIC devices are widely used in networking and computing applications. This kind of devices is implemented with a short-channel technology requiring high peak currents for high complexity systems and a low supply voltage. Digital ASICs are powered by an external voltage regulator with specifications similar to modern microprocessors’ power supply [voltage regulation modules (VRMs)]. In order to reduce the number of power pins and to reduce the power distribution network (PDN) issue, Intel’s Fourth-Generation Core integrates the voltage regulators. Moreover, many on-package conversion systems are present in the literature. In this article, a conversion solution based on a switched resonant tank is presented, yielding currents up to 300 A at 0.8 V, in an area of 10 cm2, with a resonant-driving technique. The novel converter is used to validate a new linear time-periodic (LTP) system modeling approach that can be applied to generic switched topologies; this contribution yields a mathematical description of the conversion chain, in particular enabling the precise calculation of the output impedance when a switched topology is used as the last stage.
Microstructural dependence of the fracture toughness of metallic thin films: A bulge test and atomistic simulation study on single-crystalline and polycrystalline silver films

The microstructure contribution to the very low fracture toughness of freestanding metallic thin films was investigated by bulge fracture tests on 200-nm-thick {100} single-crystalline and polycrystalline silver films. The single-crystalline films exhibited a significantly lower fracture toughness value ( K _IC = 0.88 MPa m^1/2) than their polycrystalline counterparts ( K _IC = 1.45 MPa m^1/2), which was rationalized by the observation of an unusual crack initiation behavior—characterized by twinning in front of the notch tip—during in situ testing in the atomic force microscope. Twinning was also observed as a dominant deformation mechanism in atomistic simulations. This twinning tendency is explained by comparing the resolved shear stresses acting on the leading partial dislocation and the full dislocation, which allows to develop a size- and orientation-dependent twinning criterion. The fracture toughness of polycrystalline samples was found to be higher because of the energy dissipation associated with full dislocation plasticity and because of crack meandering along grain boundaries.
Understanding real-world phenomena from human-generated sensor data

Nowadays, there is an increasing data availability. Smartphones, wearable devices, social media, web browsing information and sales recordings are only few of the newly available information sources. Analysing this kind of information is an important step towards understanding human behaviour. In this dissertation, I propose novel techniques for uncovering the complex dependencies between factors extracted from raw sensor data and real-world phenomena and I demonstrate the potential of utilising the vast amount of human digital traces in order to better understand human behaviour and factors influenced by it. In particular, two main problems are considered: 1) whether there is a dependency between social media data and traded assets prices and 2) how smartphone sensor data can be used to understand factors that influence our stress level. In this thesis, I focus on uncovering the structural dependencies among factors of interest rather than on the detection of mere correlation. Special attention is given on enhancing the reliability of the findings by developing techniques that can better handle the specific characteristics of the examined datasets. Although the developed approaches are motivated by specific problems related to human-generated sensor data, they are general and can be applied in any dataset with similar characteristics.
Routing Attacks Detection Method of Wireless Sensor Network

Security is a critical challenge for creating robust and reliable sensor networks. For the particularity and security threats of wireless sensor networks, we proposed an anomaly detection method based on particle swarm optimization K-means clustering algorithm to detect routing attacks caused by abnormal flows in this paper. K-means clustering algorithm is an effective method has been proved for apply to the intrusion detection system, but it is a part of the optimal solution, rather than the overall optimal solution. Particle swarm optimization (PSO) algorithm which is evolutionary computation technology based on swarm intelligence has good global search ability. With the deficiency of global search ability for K-means clustering algorithm, K-means clustering algorithm based on particle swarm optimization (PSO-KM) is proposed in this paper. This algorithm could overcome falling into local minima and has relatively good overall convergence. Experiments on data sets KDD CUP 99 validate the effectiveness of the proposed method and show that the method has higher detection rate and lower false detection rate.
Parametric Bayes Analyses to Study the Age-Specific Fertility Patterns

Synoptic Abstract The article considers various parametric models proposed for studying age-specific fertility patterns and develops a Bayesian alternative for their analyses. The analysis is done using weak proper priors for the parameters. Since the posterior analysis involves analytically intractable integrals, the article uses Metropolis algorithm to draw the corresponding posterior samples and hence obtains the sample based inferences. The maximum likelihood estimates of parameters are also obtained by non-linear optimization technique. Such estimates are used as an aid to our Bayesian computation. The considered models are finally compared using different Bayesian model selection tools to recommend an appropriate model for the situation under consideration. Finally, numerical illustration is provided for two different datasets in order to check the feasibility of the models with changing fertility patterns over time.
Classifier les interfaces tangibles par la cladistique : critères et fiches pour un inventaire collaboratif

"Les interfaces utilisateur tangibles sont de formes variees et leur conception est souvent dediee et unique. Les specimens se multiplient et cerner le contour des possibles est aujourd’hui difficile. Or, les approches d’innovation dite ouverte demandent d’identifier et d’etre inspire par des solutions anterieures. En considerant la filiation entre les systemes technologiques, nous reprenons une methode de classification systematique issue de la biologie pour l’appliquer en IHM : la classification cladistique. Le but est de proposer une approche originale pour caracteriser la diversite des interfaces tangibles. Cet article presente notre demarche pour etablir une liste de criteres et le developpement d’une application web pour un inventaire collaboratif. "
Grammatical Errors in Students' Translating Text by the Informatics Department Students in Stekom Semarang

Abstract: The errors cannot be separated from the students who learn English as their Foreign Language in writing skills. They always make error, especially in grammar term. It is because of the difference between the Indonesian and English grammatical pattern. The purposes of this study are to find out the grammatical errors based on Dulay, Burt and Krashen's surface structure taxonomy that happen in students' writing text in translating text from Indonesian to English especially in using simple present tense and to find the sources of errors. Mix method,qualitative and quantitative, is used as the method in this study. The data is taken from 20 students of the third-semester students in Stekom Semarang. This study found that misformation is the highest errors, 96 errors or 54,8% from the whole errors. Next, 40 errors or 22,8% for addition errors, 29 errors or 16,5% for omission errors and 10 errors or 5,71% for misordering errors from the whole errors. Intralingual factor is the most source of learner errors. There are 75% of errors that caused by intralingual factor and 25% errors are caused by interlanguage factors. Keywords: error analysis; grammatical error; translating text; simple present tense; stekom semarang.
Embedded Linux System for Digital Image Recognition using Internet of Things

The present paper describes the use of Digital Image Processing and Internet of Things for gestures recognition using depth sensors available on Kinect device. Using the open source libraries OpenCV and libfreenect, image data are translated and used for communicating Raspberry Pi embedded Linux system with PIC microcontroller board for peripheral devices controlling. A LED is triggered according to the hand gesture representing the corresponding number. Data are stored in a PHP Apache server running locally on Raspberry Pi. The proposed system can be used as a multifunctional tool in areas such as learning process, post-traumatic rehabilitation and visual and motor cognition time. Using image binarization and Naive-Bayes classifier, the achieved results show error lower than 5%.
GPGPU Virtualization Techniques a Comparative Survey

The Graphic Processing Units (GPU) are being adopted in many High Processing Computing (HPC) facilities because of their massively parallel and extraordinary computing power, which makes it possible to accelerate many general purpose implementations from different domains. A general-purpose GPU (GPGPU) is a GPU that performs computations that were traditionally handled by central processing unit (CPU) to accelerate applications along with handling traditional computations for graphics rendering. However, GPUs have some limitations, such as increased acquisition costs as well as larger space requirements, more powerful energy supplies, and their utilization is usually low for most workloads. That results in the need of GPU virtualization to maximize the use of an acquired GPU to share between the virtual machines for optimal use, to reduce power utilization and minimize the costs. This study comparatively reviews the recent GPU virtualization techniques including API remoting, para, full and hardware based virtualization, targeted for general-purpose accelerations.
The auditory and the visual percept evoked by the same audiovisual stimuli

In analyses and models of audiovisual speech perception, it has been common to consider three percepts: (1) the auditory percept evoked by acoustic stimuli, (2) the visual percept evoked by optic stimuli and (3) a common percept evoked by synchronous optic and acoustic stimuli. Here, it is shown that a vocal percept that is heard and influenced by vision has to be distinguished from a gestural percept that is seen and influenced by audition. In the two experiments reported, syllables distinguished solely by their vowels [i], [y] or [e] were presented to phonetically sophisticated subjects auditorily, visually and in incongruently cross-dubbed audiovisual form. In the first, the subjects rated roundedness, lip spreading, openness and backness of the vowels they heard - in the second of those they saw. The results confirmed that roundedness is mainly heard by eye while openness is heard by ear. Heard backness (retraction) varied with the acoustic and optic presence of roundedness. Seen openness was substantially influenced by acoustic cues, while there was no such influence on seen roundedness. The results are discussed in the context of theories and models.
Evaluation of Technology and Electronic Devices for Cheating on Exams

Currently, most exams on Norwegian universities are paper-based written exams. With the evolvement of technology and its possibilities, university students can transition from old fashion ways of cheating, such as cheat sheets, to using technological devices that are available for purchase online. There are several vendors specializing in selling these types of technological devices, leading to a variety of devices being available. It is uncertain to what extent students and exam invigilators are aware of these types of devices, and there is still little research related to the topic of such devices and their applicability. This motivates for research on the functionality and viability of cheating using different types of technological devices for cheating on academic exams. The aim of this thesis was to investigate various electronic devices that can be used to cheat on exams. A comprehensive mapping of available vendors and devices was conducted, that can contribute to increasing the knowledge and awareness of exam organizers regarding possible methods for cheating. A selection of the devices were purchased and used in experiments simulating cheating on an exam by using these types of devices. The goal of the experiment was to assess the viability of this type of cheating, the likelihood of being caught, and to evaluate potential countermeasures against this type of cheating. Through the online mapping it was discovered that there are multiple vendors providing electronic devices meant for cheating on exams. These devices had varying quality and functionality, but the devices tested in the experiments worked well for their purpose, and were small and difficult to detect. The experiments indicate that some devices are particularly useful for exams with multiple choice structure or that require short specific answers, but not necessarily exams that require long textual answers. The thesis contains several suggestions for potential countermeasures. Although some could successfully be implemented, some of the most efficient countermeasures unfortunately require too much resources, and some leads to students being disturbed or leads to an invasion of privacy.
Optimizing Joint Probabilistic Caching and Communication for Clustered D2D Networks.

Caching at mobile devices and leveraging device-to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. The analysis of such D2D caching networks based on a physical interference model is usually carried out by assuming that devices are uniformly distributed. However, this approach does not fully consider and characterize the fact that devices are usually grouped into clusters. Motivated by this fact, this paper presents a comprehensive performance analysis and joint communication and caching optimization for a clustered D2D network. Devices are distributed according to a Thomas cluster process (TCP) and are assumed to have a surplus memory which is exploited to proactively cache files from a known library, following a random probabilistic caching scheme. Devices can retrieve the requested files from their caches, from neighbouring devices in their proximity (cluster), or from the base station as a last resort. Three key performance metrics are optimized in this paper, namely, the offloading gain, energy consumption, and latency.