Miracle-dz/UniFAR-FTUs huggingface dataset:
NEW INDEX FOR THE EXPLANATION OF THE 11-YEAR VARIATIONS OF THE GALACTIC COSMIC RAY INTENSITY

We calculate the temporal changes of the exponent γ of he power law rigidity R spectrum ( γ δ − ∝ R R D R D ) ( / ) ( ) of the GCR isotropic intensity variations using n eutron monitors experimental data for four 11-year cycles of solar ac tivity (1960–2002). We show that ~70–80% of the 11–year variations of the GCR intensity is stipulat ed by the changes of the IMF turbulence versus solar activity. We believe that the temporal changes of the exponent γ of the power law rigidity R spectrum can be considered as the vital (new) index to explain the 11–year variations of GCR in the energy range of 5-50GeV, to which neutron monitors an d ground meson telescopes respond.
Co-Training vs. Simple SVM Comparing Two Approaches for Cross-Genre Gender Prediction

The CLIN 29 shared task is concerned with binary gender prediction within and across different genres in Dutch. Our proposed approaches to this problem are a simple model, which uses character ngrams, and a more complex model which consists of two systems in a co-training setup. Both of these approaches beat the baseline scores in all in-genre and crossgenre settings. Our simple model works better in an in-genre setting. The simple model performs only slightly worse in a cross-genre setting than our complex model. This is in line with the findings of Basile et al. (2017). We conclude that our co-training setup does not seem to work as well as expected for cross-genre gender detection. We believe that this might be caused by the fact that the difference between instances is larger between genres than between genders, making initial predictions for the co-training setup inaccurate.
Measuring Parameters of SpaceWire Network

SpaceWire is used for on-board satellite networks. It is proposed by the ESA as the basis for future data-handing architectures. It takes an indispensable role for the shortage of bandwidth of bus among data processing. Based on the research of SpaceWire Network, some parameters, such as delay, bit error ratio, bandwidth and throughput, a new scheme of the testing about the parameters of SpaceWire was proposed. Then its implementation technology was analyzed and explained.
A robust watermarking technique for copyright protection of digital images

Digital watermarking technique mainly applied protection in intellectual property copyrights. It is to join the data of the one intellectual property rights into the digital media of the different pattern by some procedures of processing. This includes text file, the static state image, the dynamic state image, voice signal, and so on. This paper proposes a robust watermark system that utilizes good geometry invariant characteristic of Zernike moment and Comparison of the average energy of wavelet packet. The experiments prove that the method is robust against scaled, rotated, blurred, cut and jpeg attacks. Particularly, the use of the Zernike moment improves the robustness against geometric attacks greatly.
Multilayered model strategy for optimal mobile location tracking

This paper presents a multilayered mobile tracking strategy. The resource needed to page a mobile station in a mobile telephone system is a major contributor of the forward control channel (FOCC) bottleneck problem. In order to minimize the paging cost and to maximize utilization of the bandwidth in the FOCC, a new paging strategy with multilayered paging areas is presented. By using mobility pattern changes in both time and location, multilayered optimal paging zones are derived such that the paging cost to locate a mobile station (MS) is minimized.
IndonesIa ’ s $ 120 BIllIon oIl and Gas opportunIty

It’s a prize within reach: between $90 billion and $120 billion of additional GDP over the next decade, an amount that would add 1% to 1.4% to Indonesia’s annual GDP growth rate at a time when faster growth is in short supply. Moreover, Indonesia has the opportunity to increase local oil and gas production, create jobs along the supply chain, reduce dependence on imported crude, and improve its national and financial security.
Recent Developments in ANATEM-A Comprehensive Program for the Analysis of Electromechanical Stability of Large Power Systems

This paper describes some recent developments made in the ANATEM program, a comprehensive software for the analysis of electromechanical stability of large power systems. These developments improved the efficiency and flexibility of this software for the planning and operation studies of the Brazilian system, which presents many challenges due to its large size and complexity. Several modeling and methodological issues are discussed.
Players ’ Emotional Experiences with Digital Games

It has been suggested that people play digital games particularly for the emotional experience they provide. The emotional responses of the players of different digital games (n = 247) were measured by using self-report scales of fear, anger, pleasant relaxation, joy, and depressed mood. The results showed that joy and pleasant relaxation dominate the emotional experiences, and that also fear and anger are present in some degree, but depressed feelings are almost non-existent. Both strategy/simulation games and role-playing/adventure games provided the most pleasantly relaxing gameplay experiences. Fear was most related to action games and anger to sports games. The data also suggests that a good game is likely to elicit emotions of joy and/or fear. The findings open up directions of further study into the role and nature of different emotions in game playing.
Chapter 3 Variability Management and Assessment for User Interface Design

User Interface (UI) design remains an open, wicked, complex and multifaceted problem, owing to the ever increasing variability of design options resulting from multiple contexts of use, i.e., various end-users, heterogeneous devices and computing platforms, as well as their varying environments. Designing multiple UIs for multiple contexts of use inevitably requires an ever growing amount of time and resources that not all organizations are able to afford. Moreover, UI design choices stand on end-users’ needs elicitation, which are recognized to be difficult to evaluate precisely upfront and which require iterative design cycles. All this complex variability should be managed efficiently to maintain time and resources to an acceptable level. To address these challenges, this article proposes a variability management approach integrated into a UI rapid prototyping process, which involves the combination of Model-Driven Engineering, Software Product Lines and Interactive Genetic Algorithms. J. Martinez ( ) • T. Ziadi Sorbonne University, UPMC Univ Paris 06, CNRS, Paris, France e-mail: jabier.martinez@lip6.fr; tewfik.ziadi@lip6.fr J.-S. Sottet Luxembourg Institute of Science and Technology (LIST), 5 Avenue des Hauts-Fourneaux, Esch/Alzette, Luxembourg e-mail: jean-sebastien.sottet@list.lu A.G. Frey Yotako S.A. , 9 Avenue des Hauts-Fourneaux, Esch/Alzette, Luxembourg e-mail: alfonso@yotako.io T. Bissyandé • J. Klein • Y. Le Traon Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg e-mail: tegawende.bissyande@uni.lu; jacques.klein@uni.lu; yves.letraon@uni.lu J. Vanderdonckt Louvain School of Management, Université catholique de Louvain, Place des Doyens, 1, 1348, Louvain-la-Neuve, Belgique e-mail: jean.vanderdonckt@uclouvain.be © Springer International Publishing AG 2017 J.-S. Sottet et al. (eds.), Human Centered Software Product Lines, Human–Computer Interaction Series, DOI 10.1007/978-3-319-60947-8_3 81 82 J. Martinez et al.
Proprioceptive Localization for Mobile Manipulators

We use a combination of laser data, measurements of joint angles and torques, and stall information to improve localization on a household robotic platform. Our system executes trajectories to collide with its environment and performs probabilistic updates on a distribution of possible robot positions, ordinarily provided by a laser range finder. We find encouraging results both in simulations and in a real-world kitchen environment. Our analysis also suggests further steps in localization through proprioception.
12 AOM wd

In this paper we examine the role of emotional intelligence (EI) in cross-cultural adjustment (CCA) of expatriates on international assignments. Based on a sample of 269 French expatriates working for a government recognized public interest foundation in 133 countries, we find that EI is an important positive predictor of expatriates’ general living, interactional and work-related CCA. Additionally, the analysis reveals that cultural similarity facilitates general living adjustment only and not the other two dimensions of CCA. Finally, we find an interesting interaction effect between sex and appraisal of emotions in the self and others, which indicates a relatively faster diminishing utility of the ability to appraise and express emotions for females as compared to males. It means that, even though appraisal of emotions is good and females tend to score higher on average in this particular adaptive ability, it is less good for them than for males. The analysis shows that the higher the ability of females to appraise emotions becomes, the smaller the improvements in their CCA get. Overall, the paper contributes to the literature by providing evidence that EI has an important explanatory power for expatriates’ CCA and needs to be examined in the expatriates’ literature more thoroughly.
Geometry-Driven Stochastic Modeling of SE(3) States Based on Dual Quaternion Representation

We present a novel approach to stochastically model uncertain 6-DoF rigid body motions represented by dual quaternions. Unlike conventional methods relying on the local linearization of the nonlinear SE(3) group, the proposed distribution directly models uncertainty on the manifold of unit dual quaternions. For that, the Bingham distribution is employed on the 3-sphere to model the real part, at which the tangent plane of the hypersphere is spanned by a basis preserving the Bingham principal directions via parallel transport. The conditioning dual part is then expressed with respect to the transported basis and modeled by a Gaussian distribution. This enables the probabilistic interpretation of the correlation between rotation and translation terms. We further introduce the corresponding sampling-approximation scheme for the proposed density, based on which unscented transform-based 6-DoF pose filtering approaches are established and evaluated with simulations.
The endowment effect in the genes: An exploratory study

The endowment effect is a well-documented decision phenomenon, referring to a tendency that people price a commodity higher when selling it than when buying it. This phenomenon can be interpreted as a sort of inertia, an unwillingness to make a change, or in other words an attachment to the status-quo. People with autism dislike social interaction, and are thus probably less willing to buy and sell items and more attached to the status quo. Previous research revealed that T-carriers of a single-nucleotide polymorphism (SNP) of the dopamine beta-hydroxylase (DBH) gene, rs1611115 (C-1021T), are associated with autism and difficulty in social interaction. Therefore, rs1611115 may modulate the endowment effect. In the current study, the subjects sold and bought lotteries with various probabilities of winning money and provided saliva for genotyping. We found that T-carriers (people of CT genotype in this study) exhibited greater endowment effects compared to people of CC genotype. We discuss another two possible explanations of our results: empathy and loss aversion. This is the first attempt to research the endowment effect from the perspective of genes. The result indicates that an SNP of genes (an innate factor) can exert an observable effect on human market activities.
Effects of Tilapia Bone Calcium on Qualities of Tilapia Sausage

Tilapia bone powder was extracted using acetic acid (0.25 M) at a ratio of 1:50 (weight per volume) and stirred for 48 hr at room temperature (approximately 28°C). The calcium extract was adjusted to neutral pH. The calcium content in the extract was 2,376 mg.L-1, assessed by inductively coupled plasma-optical emission spectrometry. The calcium extract was added to fish sausage by replacing the ice content in the recipe with the frozen calcium extract. The sausage quality was compared to the control (without adding calcium). Proximate analysis showed that the addition of calcium resulted in moisture reduction while the ash contents increased by 1.42%. The protein and fat contents as well as the pH value were not affected (P > 0.05). The lightness, assessed by colorimeter, increased slightly (P < 0.05). Texture profile analysis revealed that the hardness and gumminess of the fish sausage increased upon adding the calcium extract. The sensory evaluation also indicated that the textural attribute of the fish sausage with calcium extract exhibited higher overall acceptance than the control.
Resolving Abbreviations in Clinical Texts Without Pre-existing Structured Resources

One of the most important topics in clinical text processing is the identification of relevant concepts. This includes the detection and resolution of abbreviations, acronyms, or other shortened forms in the documents. Even though the task of resolving abbreviations can be treated as a word sense disambiguation problem, such methods require structured lexical knowledge bases. However, for less-resourced languages such resources are not available. In this paper, a method is proposed for the disambiguation and resolution of abbreviations found in Hungarian clinical records. In order to achieve reasonable performance, a lexicon must be created for each domain. It is shown how the set of entries to be included in such a lexicon can be induced from the corpus, thus the manual effort of creating a lexicon can be reduced significantly. The results for resolving abbreviations in Hungarian clinical documents are also shown, which are achieved by using the corpus instead of non-existing structured resources.
Trial of a vehicle mounted UK electro-optic countermine sensor system as part of a UK/US collaborative program

A collaborative program has been undertaken by the UK and US Governments to develop Countermine Capabilities for Medium/Future Forces. The program is conducting research into a ground-based system for the detection and countering of land mines on military routes. The overall objective of the program is to jointly develop and then evaluate a demonstration system prototype. This project was established as a three stage program. The first stage established a common UK/US military requirement and conducted operational analysis based on generic sensors. Once the requirement and analysis were established, candidate technologies appropriate to the timeframe of the program were assessed according to their Technology Readiness Level (TRL). The program is currently in the second stage which is taking technologies identified from the first stage and performing trials in both the UK and US aimed at a more detailed understanding of their baseline performance. A trial in the UK was completed in 2005 where two US vehicle mounted sensor systems and one UK vehicle mounted sensor system were trialled. The UK sensor system is described herein and consisted of three Electro- Optic (EO) sensors that covered the visible, medium wave infra-red (IR) and long wave IR bands. The set-up of the UK trial site and the assembly of the UK EO sensor system are discussed. Analysis of the trial data and preliminary research on the feasibility of fusing data from the EO sensors are discussed.
GPU Concurrency and Consistency

Modern graphics processing units (GPUs) are gaining popularity and become more popular for general purpose computing. However, Alglave et al. showed in a recent publication that the memory behavior of software and hardware does not always behave as specified in the documentation. This report takes a look current consistency models for GPGPU computing and the advantages and disadvantages of recent models. After that, it takes a look at emerging technologies that introduce new concepts for software and hardware to create an easier user-experience while maintaing or improving performance.
Variadic Meta-Learning by Bayesian Nonparametric Deep Embedding

Learning from a little or a lot of data is addressed by two strong but divided frontiers: few-shot learning and standard supervised learning. Few-shot learning focuses on sample efficiency at small scale, while supervised learning focuses on accuracy at large scale. Ideally they could be reconciled to learn with any number of data points (shot) and number of classes (way). To span the full spectrum of shot and way, we frame the variadic learning regime of learning from any number of inputs. We approach variadic learning by meta-learning a novel multi-modal clustering model that connects bayesian nonparametrics and deep metric learning. Our bayesian nonparametric deep embedding (BANDE) method is optimized end-to-end with a single objective, and adaptively adjusts capacity to learn from variable amounts of data. BANDE achieves (a) state-of-the-art accuracy for alphabet recognition, (b) 71.9% accuracy on 1692-way, 5-shot Omniglot classification from only 5-way 1-shot meta-learning, (c) 94.4% accuracy on CIFAR-10 (comparable to supervised learning techniques), and (d) equal or better than state-of-the-art accuracies for semi-supervised classification of Omniglot and mini-ImageNet.
An Efficient Face Detection in Multi-Face Images Using Support Vector Machine

2 Abstract: This paper presents a robust algorithm for face detection in still gray level images. The structure and characteristics of the human nose is used to find possible face regions. Line detection filters are employed for this purpose; furthermore from among the several candidates detected in an image, a trained Support Vector Machine is used to correctly identify a human face. The proposed method is robust to deal with illumination problems. The accuracy of this method is higher than 90%, if tested for less than 10 faces in a simple background with adequate illumination. Owing to its simplicity it can be transferred from a PC to embedded device, making it a potential for customized and miniature systems. There are many unwanted elements in a picture which are commonly known as noise and should be removed from an image for further processing. Median filter is normally used to reduce noise in an image and for preserving useful details in the image. Adaptive filtering is more selective which helps for preserving edges and other high frequency parts of an image. Adaptive median filter is applied on the noisy image and again passed through SVM.
On the feasibility of blind equalization for EDGE systems

The main goal of this paper is to find whether or not blind equalization can be used in EDGE (enhanced data rate for GSM evolution) systems in the perspective of increasing the data rate. An EDGE system uses 8-PSK modulation as well as the binary GMSK modulation defined for GSM. The main problem is that GMSK modulation is nonlinear, but most blind equalization techniques are derived for linear modulation. Linear approximation of the real GMSK signal has to be performed in order to apply blind equalization. It is of interest to determine if the input sequence resulting from linearisation and the derotation in the receiver is white, which is a key assumption in many blind equalization algorithms. We show that the whiteness property is preserved. We make a comparison among three blind algorithms: two fractionally spaced and one based on baud-rate HOS. The simulation results indicate that blind equalization performs well and the algorithms have potential as a feasible solution to channel tracking in EDGE systems.
Single chip system for bio-data acquisition, digitization and telemetry

A custom IC has been developed for the acquisition, digitization and telemetry of biological signals in the laboratory. This single chip system consists of a preamplifier, analog to digital converter and frequency shift keyed telemetry. The IC is 2.25 mm/spl times/2.25 mm and consumes 10 mW of power at a power supply voltage of 2.5 V. Data can be transmitted several meters. No off chip components are required except a miniature battery and a straight wire antenna as short as 2 cm. The IC is fabricated in a standard digital CMOS process without a second level of poly-silicon; current mode techniques are used to overcome the lack of linear capacitors.
Relation between categorical percep acquisition

Data before and after reading acquisition were collected in order to study the influence of linguistic experience and literacy on the emergence and consistency of categorical perception (CP). Children aged 6 and 7 years identified and discriminated [do] and [to] syllables from a VOT continuum. The same paradigm was proposed to 10 years old children. The latter were subdivided according to their reading performance to assess whether categorical perception is impaired in poor readers. From 6 to 7 categorical perception improved. As subjects differed both in age and reading experience, these data bring out the question of the relation between linguistic maturation and literacy. Poor readers were less accurate in the discrimination of phonemically contrastive pairs. On the contrary they performed better than controls for the discrimination of phonemically irrelevant contrasts. The origin of the categorical deficit displayed by poor readers, and its possible influence on reading performance is discussed.
A study of online construction of fragment replicas

High availability in database systems is achieved using data replication and online repair. On a system containing 2 replicas of each fragment, the loss of a fragment replica due to a node crash makes the system more vulnerable. In such a situation, only one replica of the fragments contained in the crashed node will be available until a new replica is generated. In this study we have investigated different methods of regenerating a new fragment replica that is up to date with the transactions that have happened during the process of regenerating it. The objective is to determine which method performs the best in terms of completion time at each of the nodes involved, in different conditions. We have investigated three different methods for sending the data from the node containing the primary fragment replica to the node being repaired, and one method for catching-up with the transactions executed at the node containing the primary fragment replica during the repair process. These methods assume that the access method used by the DB system is B-trees. The methods differ by the volume of data sent over the network, and by the work (and time) needed to prepare the data prior to sending. They consist respectively in sending the entire B-tree, sending the leaves of the B-tree only, and sending the data only; the latter has two alternatives on the node being repaired, depending on whether the data is being inserted into a new B-tree, or whether the B-tree is being regenerated from the leaf-level and up. This study shows that the choice of recovery method should be made considering the network configuration that will be used. For common network configurations like 100Mbits or lower, it is interesting to use methods that minimize the volume of data transfered. For higher network bandwidth, it is more important to minimize the amount of work done at the nodes.