nils-herrmann/clean_scirepeval huggingface dataset:
Attention-based LSTM with Semantic Consistency for Videos Captioning

Recent progress in using Long Short-Term Memory (LSTM) for image description has motivated the exploration of their applications for automatically describing video content with natural language sentences. By taking a video as a sequence of features, LSTM model is trained on video-sentence pairs to learn association of a video to a sentence. However, most existing methods compress an entire video shot or frame into a static representation, without considering attention which allows for salient features. Furthermore, most existing approaches model the translating error, but ignore the correlations between sentence semantics and visual content.
 To tackle these issues, we propose a novel end-to-end framework named aLSTMs, an attention-based LSTM model with semantic consistency, to transfer videos to natural sentences. This framework integrates attention mechanism with LSTM to capture salient structures of video, and explores the correlation between multi-modal representations for generating sentences with rich semantic content. More specifically, we first propose an attention mechanism which uses the dynamic weighted sum of local 2D Convolutional Neural Network (CNN) and 3D CNN representations. Then, a LSTM decoder takes these visual features at time $t$ and the word-embedding feature at time $t$-$1$ to generate important words. Finally, we uses multi-modal embedding to map the visual and sentence features into a joint space to guarantee the semantic consistence of the sentence description and the video visual content. Experiments on the benchmark datasets demonstrate the superiority of our method than the state-of-the-art baselines for video captioning in both BLEU and METEOR.
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters

MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop-an open-source implementation of MapReduce is widely used for short jobs requiring low response time. The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. Data locality has not been taken into account for launching speculative map tasks, because it is assumed that most maps are data-local. Unfortunately, both the homogeneity and data locality assumptions are not satisfied in virtualized data centers. We show that ignoring the data-locality issue in heterogeneous environments can noticeably reduce the MapReduce performance. In this paper, we address the problem of how to place data across nodes in a way that each node has a balanced data processing load. Given a dataintensive application running on a Hadoop MapReduce cluster, our data placement scheme adaptively balances the amount of data stored in each node to achieve improved data-processing performance. Experimental results on two real data-intensive applications show that our data placement strategy can always improve the MapReduce performance by rebalancing data across nodes before performing a data-intensive application in a heterogeneous Hadoop cluster.
An ankle-foot orthosis powered by artificial pneumatic muscles.

We developed a pneumatically powered orthosis for the human ankle joint. The orthosis consisted of a carbon fiber shell, hinge joint, and two artificial pneumatic muscles. One artificial pneumatic muscle provided plantar flexion torque and the second one provided dorsiflexion torque. Computer software adjusted air pressure in each artificial muscle independently so that artificial muscle force was proportional to rectified low-pass-filtered electromyography (EMG) amplitude (i.e., proportional myoelectric control). Tibialis anterior EMG activated the artificial dorsiflexor and soleus EMG activated the artificial plantar flexor. We collected joint kinematic and artificial muscle force data as one healthy participant walked on a treadmill with the orthosis. Peak plantar flexor torque provided by the orthosis was 70 Nm, and peak dorsiflexor torque provided by the orthosis was 38 Nm. The orthosis could be useful for basic science studies on human locomotion or possibly for gait rehabilitation after neurological injury.
Two-step parameter extraction procedure with formal optimization for physics-based circuit simulator IGBT and p-i-n diode models

A practical and accurate parameter extraction method is presented for the Fourier-based-solution physics-based insulated gate bipolar transistor (IGBT) and power diode models. The goal is to obtain a model accurate enough to allow switching loss prediction under a variety of operating conditions. In the first step of the extraction procedure, only one simple clamped inductive load test is needed for the extraction of the six parameters required for the diode model and of the 12 and 15 parameters required for the nonpunch-through (NPT) and punch-through (PT) IGBT models, respectively. The second part of the extraction procedure is an automated formal optimization step that refines the parameter estimation. Validation with experimental results from various structures of IGBT demonstrates the accuracy of the proposed IGBT and diode models and the robustness of the parameter extraction method.
Fully-Integrated Two-Stage GaN MMIC Doherty Power Amplifier for LTE Small Cells

A novel two-stage Doherty power amplifier (PA) was designed and fully integrated on a 0.25-μm GaN on SiC monolithic microwave integrated circuit die with a dimension of 3.3 × 2.6 mm2 to build small-cell base stations. An asymmetric Doherty configuration was adopted for the power stage with the reversed uneven input power splitting network for better performance. To improve linearity, the third-order intermodulation distortion (IMD3) was minimized by cancelling IMD3s between the carrier and peaking amplifiers. The two-section quarterwave transformer was used for more uniform in-band frequency responses. The fabricated PA showed a power-added efficiency of 46.8% and a power gain of 30.9 dB at an average power of 35.1 dBm for a 2.655-GHz long-term evolution signal with a 7.1-dB peak-to-average power ratio. The adjacent channel leakage ratio was -40.2 dBc without any linearization, and it was lowered to -49.3 dBc by a digital pre-distortion linearization.
Circularly Polarized Conical-Beam Antenna With Wide Bandwidth and Low Profile

This work introduces a circularly polarized (CP) conical-beam antenna with low profile and wide impedance & axial ratio (AR) bandwidths. The antenna structure simply consists of a wideband monopolar patch antenna and eight parasitic loop stubs for generating vertically polarized electric field Eθ and horizontally polarized field Eφ, respectively. The proposed antenna is low profile but wideband because of merging the TM01 and TM02 modes at around the center frequency. In order to obtain the wideband CP radiation, the eight parasitic loop stubs are printed and placed sequentially along the radiating edge of the patch. With the resultant radiations from both the patch antenna and the loop stubs, the CP conical-beam radiation pattern can be obtained. In addition, a parametric study of the shorting vias effect, number of loop stub elements, and loop widths are demonstrated how to design this wideband CP antenna. The antenna exhibits the wide impedance bandwidth of 28% from 4.9 to 6.5 GHz (for the reflection coefficient ≤ -10 dB) and the 3-dB AR bandwidth of 14.4% from 5.8 to 6.7 GHz. The thickness of this antenna is only 0.06λ in terms of the free-space wavelength at its lowest operation frequency. Stable omni-directional conical-beam radiation patterns are observed over the operating bandwidth with the peak gain of 4.9 dBic. The antenna can cover the uplink of standard C band (5.85 to 6.425 GHz) for satellite communication.
Open Source Software-Defined Radio: A survey on GNUradio and its applications

This report analyzes the feasibility of using a Software Defined Radio solution for research purposes. We focused on the open source GNUradio project and studied its suitability for reproducing and analyzing some widespread wireless protocols, such as IEEE 802.11, Bluetooth, IEEE 802.15.4, and GSM. We found that the use of GNUradio with the Universal Software Radio Peripheral can help researchers in avoiding the closed source firmwares/drivers of commercial chipsets by providing a full customizability at physical and datalink layers. On the other hand, software radios are not always capable of correctly reproducing operations previously done in the hardware domain. This leads to several limitations with widespread standards. In this report we try to provide a picture of such limitations and the current status of the GNUradio framework. This work has been supported by the Telecommunications Research Center Vienna (ftw.) project N0. Ftw is supported by the Austrian Government and by the City of Vienna within the competence center program COMET. This work would not have been possible without the precious information contained in the official GNUradio mailing list archive. A special thanks goes to all the active participants.
Stealth Attacks and Protection Schemes for State Estimators in Power Systems

State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control centers, and large numbers of measurements are sent over unencrypted communication channels to the centers. We here study stealthy false-data attacks against these estimators. We define a security measure tailored to quantify how hard attacks are to perform, and describe an efficient algorithm to compute it. Since there are so many measurement devices in these systems, it is not reasonable to assume that all devices can be made encrypted overnight in the future. Therefore we propose two algorithms to place encrypted devices in the system such as to maximize their utility in terms of increased system security. We illustrate the effectiveness of our algorithms on two IEEE benchmark power networks under two attack and protection cost models.
Mindsets and human nature: promoting change in the Middle East, the schoolyard, the racial divide, and willpower.

Debates about human nature often revolve around what is built in. However, the hallmark of human nature is how much of a person's identity is not built in; rather, it is humans' great capacity to adapt, change, and grow. This nature versus nurture debate matters-not only to students of human nature-but to everyone. It matters whether people believe that their core qualities are fixed by nature (an entity theory, or fixed mindset) or whether they believe that their qualities can be developed (an incremental theory, or growth mindset). In this article, I show that an emphasis on growth not only increases intellectual achievement but can also advance conflict resolution between long-standing adversaries, decrease even chronic aggression, foster cross-race relations, and enhance willpower. I close by returning to human nature and considering how it is best conceptualized and studied.
Robust 3D SLAM with a stereo camera based on an edge-point ICP algorithm

Most vision-based SLAM systems utilize corner-like features, and may be unstable in non-textured environments where only a few corner features can be extracted. To cope with this problem, we employ edge points to perform SLAM with a stereo camera. The edge-point based SLAM is applicable to non-textured environments since plenty of edge points can be obtained even from a small number of lines. The proposed method estimates camera poses and builds detailed 3D maps robustly by aligning edge points between frames using the ICP algorithm. In indoor experiments, the method successfully built detailed 3D maps even under noisy condition.
Quasar Enterprise - Anwendungslandschaften serviceorientiert gestalten

Der Beitrag stellt mit Quasar Enterprise einen durchgängigen, serviceorientierten Ansatz zur Gestaltung großer Anwendungslandschaften vor. Er verwendet ein Architektur-Framework zur Strukturierung der methodischen Schritte und führt ein Domänenmodell zur Präzisierung der Begrifflichkeiten und Entwicklungsartefakte ein. Die dargestellten methodischen Bausteine und Richtlinien beruhen auf langjährigen Erfahrungen in der industriellen Softwareentwicklung. 1 Motivation und Hintergrund sd&m beschäftigt sich seit seiner Gründung vor 25 Jahren mit dem Bau von individuellen Anwendungssystemen. Als konsolidierte Grundlage der Arbeit in diesem Bereich wurde Quasar (Quality Software Architecture) entwickelt – die sd&m StandardArchitektur für betriebliche Informationssysteme [Si04]. Quasar dient sd&m als Referenz für seine Disziplin des Baus einzelner Anwendungen. Seit einigen Jahren beschäftigt sich sd&m im Auftrag seiner Kunden mehr und mehr mit Fragestellungen auf der Ebene ganzer Anwendungslandschaften.  Spektrum reicht von IT-Beratung zur Unternehmensarchitektur, über die Systemintegration querschnittlicher technischer, aber auch dedizierter fachlicher COTS-Produkte bis hin zum Bau einzelner großer Anwendungssysteme auf eine Art und Weise, dass eine perfekte Passung in eine moderne Anwendungslandschaft gegeben ist. Zur Abdeckung dieses breiten Spektrums an Aufgaben wurde eine neue Disziplin zur Gestaltung von Anwendungslandschaften benötigt. sd&m entwickelte hierzu eine neue Referenz – Quasar Enterprise – ein Quasar auf Unternehmensebene.
Inference from Iterative Simulation Using Multiple Sequences

The Gibbs sampler, the algorithm of Metropolis and similar iterative simulation methods are potentially very helpful for summarizing multivariate distributions. Used naively, however, iterative simulation can give misleading answers. Our methods are simple and generally applicable to the output of any iterative simulation; they are designed for researchers primarily interested in the science underlying the data and models they are analyzing, rather than for researchers interested in the probability theory underlying the iterative simulations themselves. Our recommended strategy is to use several independent sequences, with starting points sampled from an overdispersed istribution. At each step of the iterative simulation, we obtain, for each univariate estimand of interest, a distributional estimate and an estimate of how much sharper the distributional estimate might become if the simulations were continued indefinitely. Because our focus is on applied inference for Bayesian posterior distributions in real problems, which often tend toward normality after transformations and marginalization, we derive our results as normal-theory approximations to exact Bayesian inference, conditional on the observed simulations. The methods are illustrated on a randomeffects mixture model applied to experimental measurements of reaction times of normal and schizophrenic patients.
A Scalable Mobility-Centric Architecture for Named Data Networking

Information-centric networking (ICN) proposes to redesign the Internet by replacing its host centric design wit h an information centric one, by establishing communication at the naming level, with the receiver side acting as the driving force beh ind content delivery. Such design promises great advantages for the del ivery of content to and from mobile hosts. This, however, is at the exp ense of increased networking overhead, specifically in the case o f Nameddata Networking (NDN) due to use of flooding for path recovery. In this paper, we propose a mobility centric solution to address the overhead and scalability problems in NDN by introducing a novel forwarding architecture that leverages decentralized serverassisted routing over flooding based strategies. We present an indepth study of the proposed architecture and provide demons trative results on its throughput and overhead performance at different levels of mobility proving its scalability and effectiveness, when compared to the current NDN based forwarding strategies.
A Single-Stage Photovoltaic System for a Dual-Inverter-Fed Open-End Winding Induction Motor Drive for Pumping Applications

This paper presents an integrated solution for a photovoltaic (PV)-fed water-pump drive system, which uses an open-end winding induction motor (OEWIM). The dual-inverter-fed OEWIM drive achieves the functionality of a three-level inverter and requires low value dc-bus voltage. This helps in an optimal arrangement of PV modules, which could avoid large strings and helps in improving the PV performance with wide bandwidth of operating voltage. It also reduces the voltage rating of the dc-link capacitors and switching devices used in the system. The proposed control strategy achieves an integration of both maximum power point tracking and V/f control for the efficient utilization of the PV panels and the motor. The proposed control scheme requires the sensing of PV voltage and current only. Thus, the system requires less number of sensors. All the analytical, simulation, and experimental results of this work under different environmental conditions are presented in this paper.
Theta activity and meditative states: spectral changes during concentrative meditation

Brain oscillatory activity is associated with different cognitive processes and plays a critical role in meditation. In this study, we investigated the temporal dynamics of oscillatory changes during Sahaj Samadhi meditation (a concentrative form of meditation that is part of Sudarshan Kriya yoga). EEG was recorded during Sudarshan Kriya yoga meditation for meditators and relaxation for controls. Spectral and coherence analysis was performed for the whole duration as well as specific blocks extracted from the initial, middle, and end portions of Sahaj Samadhi meditation or relaxation. The generation of distinct meditative states of consciousness was marked by distinct changes in spectral powers especially enhanced theta band activity during deep meditation in the frontal areas. Meditators also exhibited increased theta coherence compared to controls. The emergence of the slow frequency waves in the attention-related frontal regions provides strong support to the existing claims of frontal theta in producing meditative states along with trait effects in attentional processing. Interestingly, increased frontal theta activity was accompanied reduced activity (deactivation) in parietal–occipital areas signifying reduction in processing associated with self, space and, time.
On a Fuzzy Algebra for Querying Graph Databases

This paper proposes a notion of fuzzy graph database and describes a fuzzy query algebra that makes it possible to handle such database, which may be fuzzy or not, in a flexible way. The algebra, based on fuzzy set theory and the concept of a fuzzy graph, is composed of a set of operators that can be used to express preference queries on fuzzy graph databases. The preferences concern i) the content of the vertices of the graph and ii) the structure of the graph. In a similar way as relational algebra constitutes the basis of SQL, the fuzzy algebra proposed here underlies a user-oriented query language and an associated tool implementing this language that are also presented in the paper.
A Koch-Like Sided Fractal Bow-Tie Dipole Antenna

A novel Koch-like fractal curve is proposed to transform ultra-wideband (UWB) bow-tie into so called Koch-like sided fractal bow-tie dipole. A small isosceles triangle is cut off from center of each side of the initial isosceles triangle, then the procedure iterates along the sides like Koch curve does, forming the Koch-like fractal bow-tie geometry. The fractal bow-tie of each iterative is investigated without feedline in free space for fractal trait unveiling first, followed by detailed expansion upon the four-iterated pragmatic fractal bow-tie dipole fed by 50-Ω coaxial SMA connector through coplanar stripline (CPS) and comparison with Sierpinski gasket. The fractal bow-tie dipole can operate in multiband with moderate gain (3.5-7 dBi) and high efficiency (60%-80%), which is corresponding to certain shape parameters, such as notch ratio α, notch angle φ, and base angles θ of the isosceles triangle. Compared with conventional bow-tie dipole and Sierpinski gasket with the same size, this fractal-like antenna has almost the same operating properties in low frequency and better radiation pattern in high frequency in multi-band operation, which makes it a better candidate for applications of PCS, WLAN, WiFi, WiMAX, and other communication systems.
Proposed wall climbing robot with permanent magnetic tracks for inspecting oil tanks

This paper presents a proposed research on the wall climbing robot with permanent magnetic tracks. A brief review about the wall climbing robot is given, different prototypes of wall climbing robot are compared, and the different application fields are introduced. A proposed wall climbing robot with permanent magnetic adhesion mechanism for inspecting oil tanks is put forward. The mechanical system architecture is detailed in the paper. By analyzing the robot's workspace, permanent magnetic adhesion mechanism is chosen for the robot. Also, tracked locomotion mechanism is applied to the robot. By static and dynamic force analysis of the robot, design parameters about adhesion and locomotion mechanism are derived. In addition, safety constraints for the robot are obtained. Finally, the electrical system architecture for the robot is offered. To improve the efficiency, hierarchy control architecture is employed in the robot system. An embedded system is used and installed in the robot to manage multiple sensors and to communicate with the master computer through the wireless link. And the Web-based teleoperation for the robot is illustrated in the paper.
ScriptGen: an automated script generation tool for Honeyd

Honeyd (N. Provos, 2004) is a popular tool developed by Niels Provos that offers a simple way to emulate services offered by several machines on a single PC. It is a so called low interaction honeypot. Responses to incoming requests are generated thanks to ad hoc scripts that need to be written by hand. As a result, few scripts exist, especially for services handling proprietary protocols. In this paper, we propose a method to alleviate these problems by automatically generating new scripts. We explain the method and describe its limitations. We analyze the quality of the generated scripts thanks to two different methods. On the one hand, we have launched known attacks against a machine running our scripts; on the other hand, we have deployed that machine on the Internet, next to a high interaction honeypot during two months. For those attackers that have targeted both machines, we can verify if our scripts have, or not, been able to fool them. We also discuss the various tuning parameters of the algorithm that can be set to either increase the quality of the script or, at the contrary, to reduce its complexity