Miracle-dz/UniFAR-FTUs huggingface dataset:
A pilot comparative analysis of the Cuckoo and Drakvuf sandboxes: An end-user perspective

Introduction/purpose: This paper reports on a pilot comparative analysis of the Cuckoo and Drakvuf sandboxes. These sandboxes are selected as the subjects of the analysis because of their popularity in the professional community and their complementary approaches to analyzing malware behavior. Methods: Both sandboxes were set up with basic configurations and confronted with the same set of malware samples. The evaluation was primarily conducted with respect to the question of to what extent a sandbox is helpful to the human analyst in malware analysis. Thus, only the information available in Web console reports was considered. Results: Drakvuf is expected to perform better when confronted with evasive malware and so-called "file-less" malware. Although still not mature in terms of integration, customization and tools, this sandbox is considered a second generation sandbox because of its agentless design. On the other hand, the Cuckoo sandbox creates a better overall experience: it is supported through good documentation and strong professional community, better integrated with various tools, support more virtualization, operating system and sample types, and generates more informative reports. Even with a smaller capacity to prevent evasive malware, its Python 2 agent script makes it more powerful than Drakvuf. Conclusion: To achieve the optimal open-source sandbox-based protection, it is recommended to apply both the Cuckoo and Drakvuf sandboxes. In circumstances of limited resources, applying the Cuckoo sandbox is preferable, especially if exposure to malware deploying evading techniques is not frequently expected.
Large‐scale transient electrical‐thermal co‐simulation of interconnects under electromagnetic pulses

The electrical‐thermal co‐simulation is employed to analyze the transient electrical and thermal behaviors of large‐scale on‐chip and 3‐D interconnects. The analyses are performed when the interconnects are exposed to electromagnetic pulses in order to simulate both self‐heating effects under normal working conditions and thermal breakdowns under electrostatic discharge stresses. The impact of power maps on the transient thermal responses under the electrostatic discharge stress is also studied. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2559–2563, 2016
Pressure-sensitive Pen Interactions

Pen-based computers bring the promise of tapping into people's expressiveness with pen and paper and producing a platform that feels familiar while providing new functionalities only possible within an electronic medium. To this day, pen computers' success is marginal because their interfaces mainly replicate keyboard and mouse ones. Maximizing the potential of pen computers requires redesigning their interfaces so that they are sensitive to the pen's input modalities and expressiveness. In particular, pressure is an important and expressive, yet underutilized, pen input modality. This dissertation advances our knowledge about pressure-aware, pen-based interactions and how people use these techniques. We systematically explore their design by first investigating how pressure can affect pen interactions. We propose novel techniques that take advantage of the pressure modality of a pen to control, link, and annotate digital video. We then study people's performance using pressure to navigate through a set of elements and find that they can discriminate a minimum of six different pressure regions. We introduce the concept of Pressure Widgets and suggest visual and interaction properties for their design. We later explore pressure's use to enhance the adjustment of continuous parameters and propose Zliding, a technique in which users vary pressure to adjust the scale of the parameter space, while sliding their pen to perform parameter manipulations. We study Zliding and find it a viable technique, which is capable of enabling arbitrarily precise parameter adjustments. We finally present a novel interaction technique defined by the concurrent variation in pressure applied while dragging a pen. We study these pressure marks and find that they are a compact, orientation-independent, full interaction phrase that can be 30% faster than a state-of-the-art selection-action interaction phrase. This dissertation also makes a number of key contributions throughout the design and study of novel interaction techniques: (1) It identifies important design issues for the development of pressure-sensitive, pen- operated widgets and interactions, (2) It provides design guidelines for interaction techniques and interface elements utilizing pressure-enabled input devices, (3) It presents empirical data on people's ability to control pressure, and (4) It charts a visual design space of pressure-sensitive, pen-based interactions.
Predicting scalar diversity with context-driven uncertainty over alternatives

Scalar implicature (SI) arises when a speaker uses an expression (e.g., “some”) that is semantically compatible with a logically stronger alternative on the same scale (e.g., “all”), leading the listener to infer that they did not intend to convey the stronger meaning. Prior work has demonstrated that SI rates are highly variable across scales, raising the question of what factors determine the SI strength for a particular scale. Here, we test the hypothesis that SI rates depend on the listener’s confidence in the underlying scale, which we operationalize as uncertainty over the distribution of possible alternatives conditioned on the context. We use a T5 model fine-tuned on a text infilling task to estimate this distribution. We find that scale uncertainty predicts human SI rates, measured as entropy over the sampled alternatives and over latent classes among alternatives in sentence embedding space. Furthermore, we do not find a significant effect of the surprisal of the strong scalemate. Our results suggest that pragmatic inferences depend on listeners’ context-driven uncertainty over alternatives.
An Evolutionary Approach to Tuning a Multi-Agent System for Autonomous Adaptive Control of a Flapping-Wing Micro Air Vehicle

Biomimetic flapping wing vehicles have attracted recent interest because of their numerous potential military and civilian applications. In this paper, we describe an evolutionary approach to tuning a Multi-Agent System for autonomous adaptive control of a Flapping-Wing Micro Air Vehicle. The wings of the vehicle are controlled by a split cycle oscillator, which combined with non-linearities and differences between each vehicle, brings significant challenge for selecting the proper parameters for the control system. Adopting a Neo-Darwinistic evolutionary approach, where solutions are evolved in a similar manner as in nature, allows us to precisely learn control parameters for each vehicle. After describing the evolution algorithm and evolving the control parameters, we utilize these values for autonomous waypoint following by the micro air vehicle.
Medical Causation in Defi ning Emotions

Emotions are an essential component of human nature, which can describe a person’s health and help determine this condition’s causes. Proceeding from this, it becomes obvious that health plays a vital role in forming one of emotion condition, and in the reverse order, any emotion can describe the state of human health. This approach can provide medical personnel with important information about patients: emotions, state of health, and establishing cause and effect relationships. How-ever, the creation of this model is hampered by the lack of large labeled datasets. Thus, the study’s main goal is to create a dataset that would have information about the emotional state of a person and causal medical relationships that affect a person’s emotional state. We conduct comprehensive data collection and analysis, using state-of-the-art models for assessing emotions, medical extractions of creatures, and determination of cause-and-effect relationships.
A Study on Repair Technique of Vehicle Injector Parts

Remanufacturing of disposable parts has the advantage in cost and environment aspects. Remanufacturing technology requires the three technologies of part cleansing technology, disassembly technology, and part restoration technology. Also, recycling and disposal must be determined through failure mode analysis. In this paper, the failure causes of magnet valve and spill valve of injector were analyzed, and the proper restoration method on main causes were researched. As a result, magnet valve was appropriate through polishing, tap manufacturing and DLC coating of spill valve was evaluated to be most appropriate.
Miniaturized Dual-Band Bandpass Filter Using Embedded Dual-Mode Resonator with Controllable Bandwidths

Abstract In this paper, a miniaturized dual-band bandpass filter (DB-BPF) using embedded dual-mode resonator (DMR) with controllable bandwidths is proposed. Two passbands are generated by two sets of resonators operating at two different frequencies. One set of resonators is utilized not only as the resonant elements that yield the lower passband, but also as the feeding structures with source-load coupling to excite the other to produce the upper passband. Sufficient degrees of freedom are achieved to control the center frequencies and bandwidths of two passbands. Moreover, multiple transmission zeros (TZs) are created to improve the passband selectivity of the filter. The design of the filter has been demonstrated by the measurement. The filter features not only miniaturized circuit sizes, low insertion loss, independently controllable central frequencies, but also controllable bandwidths and TZs.
Human-like Control of Dynamically Walking Bipedal Robots

Despite several decades of research, locomotion of bipedal robots is still far from achieving the graceful motions and the dexterity observed in human walking. Most of today’s bipeds are controlled by analytical approaches based on multibody dynamics, pre-calculated joint trajectories, and Zero-Moment Point considerations to ensure stability. However, beside their considerable achievements these methods show several drawbacks like strong model dependency, high energetic and computational costs, and vulnerability to unknown disturbances. In contrast to this, human locomotion is elegant, highly robust, fast, and energy efficient. These facts gave rise to the main hypothesis of this thesis, namely that a control system based on insights into human motion control can yield human-like walking capabilities in two-legged robots. This thesis thus presents a control methodology for bipeds relying heavily on the transfer of concepts found in the locomotion control of humans. Based on a thorough review on biomechanics and neuroscience literature, a control approach is derived that can achieve dynamic, efficient, and robust walking of three-dimensional and fully articulated bipeds. Being located above the neural level, the control system is structured as a hierarchical network of local feed-forward and feedback units, without using a complete dynamic model or pre-calculated joint trajectories. Sensor event-based spinal pattern generators coordinate the stimulation and synchronization of control units and the compliance of passive joints. By applying local torque commands instead of joint angle control, passive dynamics and self-stabilizing effects of elasticities can be exploited. Postural control is achieved by the phase-dependent activity of several reflexes of various complexity. The suggested approach is tested in a full-featured dynamics simulation framework on an anthropomorphic biped with 21 degrees of freedom and human-like morphology, weight, and actuation. The control system can achieve three-dimensional dynamic walking of variable velocity as well as balanced standing. It is able to cope with the high complexity and the mechanical elasticities of the modeled biped. The emerging, naturally looking walking gait shows remarkable similarities to human walking. Simultaneous control of only a subset of joints is sufficient to direct the passive dynamics of the robot towards a walking gait. The achieved walking velocity of up to 5 km/h can compete with even the most advanced of today’s bipeds. At the same time, energy efficiency is much better than in joint angle controlled robots. The control system shows considerable robustness against unknown and unexpected disturbance like steps, slopes, or external forces.
Development of Multirate Filter – Based Region Features for Iris Identification

The emergence of biometric system is seen as the next-generation technological solution in strengthening the social and national security. The evolution of biometrics has shifted the paradigm of authentication from classical token and knowledge-based systems to physiological and behavioral trait based systems. R & D on iris biometrics, in last one decade, has established it as one of the most promising traits. Even though, iris biometric takes high resolution near-infrared (NIR) images as input, its authentication accuracy is very commendable. Its performance is often influenced by the presence of noise, database size, and feature representation. This thesis focuses on the use of multi resolution analysis (MRA) in developing suitable features for non-ideal iris images. Our investigation starts with the iris feature extraction technique using Cohen −Daubechies − Feauveau 9/7 (CDF 9/7) filter bank. In this work, a technique has been proposed to deal with issues like segmentation failure and occlusion. The experimental studies deal with the superiority of CDF 9/7 filter bank over the frequency based techniques. Since there is scope for improving the frequency selectivity of CDF 9/7 filter bank, a tunable filter bank is proposed to extract region based features from non-cooperative iris images. The proposed method is based on half band polynomial of 14th order. Since, regularity and frequency selectivity are in inverse relationship with each other, filter coefficients are derived by not imposing maximum number of zeros. Also, the half band polynomial is presented in x-domain, so as to apply semidefinite programming, which results in optimization of coefficients of analysis/synthesis filter. The next contribution in this thesis deals with the development of another powerful MRA known as triplet half band filter bank (THFB). The advantage of THFB is the flexibility in choosing the frequency response that allows one to overcome the magnitude constraints. The proposed filter bank has improved frequency selectivity along with other desired properties, which is then used for iris feature extraction. The last contribution of the thesis describes a wavelet cepstral feature derived from CDF 9/7 filter bank to characterize iris texture. Wavelet cepstrum feature helps in reducing the dimensionality of the detail coefficients; hence, a compact feature presentation is possible with improved accuracy against CDF 9/7. The efficacy of the features suggested are validated for iris recognition on three publicly available databases namely, CASIAv3, UBIRISv1, and IITD. The features are compared with other transform domain features like FFT, Gabor filter and a comprehensive evaluation is done for all suggested features as well. It has been observed that the suggested features show superior performance with respect to accuracy. Among all suggested features, THFB has shown best performance.
Contact Stress Analysis and Fatigue Life Prediction of a Turbine Fan Disc

Abstract Fan discs are critical components of an aero engine. In this paper, contact stress and life prediction of a turbine fan disc were investigated. A simplified pin/disc model was conducted to simulate the practical working condition under applied loads using finite element (FE) analysis. This study is devoted to examining the eﬀects of interface condition of pin/disc such as gap and coefficient upon the maximum stress. The FE model indicated that the maximum stress occurs at the top right corner in the second pin hole, and larger gap or friction coefficient has a significant effect on the maximum stress. In addition, FE analysis without considering friction is also conducted. The results show that the dangerous point is similar to the result which considers friction and the stress state is relatively larger than that of considering friction. Finally, based on FE analysis result, life prediction for the fan disc is conducted to combine the material S-N curve, mean stress effects and concentration stress factor obtained by means of FE method.
Enhancing stability of industrial turbines using adjustable partial arc bearings

The paper presents the principal of operation, the simulation and the characteristics of two partial-arc journal bearings of variable geometry and adjustable/controllable stiffness and damping properties. The proposed journals are supposed to consist of a scheme that enables the periodical variation of bearing properties. Recent achievements of suppressing rotor vibrations using plain circular journal bearings of variable geometry motivate the further extension of the principle to bearings of applicable geometry for industrial turbines. The paper describes the application of a partial-arc journal bearing to enhance stability of high speed industrial turbines. The proposed partial-arc bearings with adjustable/controllable properties enhance stability and they introduce stable margins in speeds much higher than the 1st critical.
The effects of the use of iPads in secondary physical education

While mobile devices appear to be commonplace within the youth of today’s lives, implementation of this technology within schools is much less conventional. This study investigates ways to improve engagement of students in Physical Education classes to inspire students to make healthy lifestyle choices. Little research has been done on successful integration of mobile devices in Physical Education classes. It appears that the existing barriers to the adoption of technology are more commonly found around teacher pedagogy, as opposed to access and resources. Physical Education study participants in this project implemented the use of iPads in their teaching practice for one month, and the results revealed that there was some shifting of teacher beliefs, and there was success with the use of the technology in terms of teaching and learning.
A Survey of Rank Based Search Results over Encrypted Cloud Data

: Migration of users into the cloud environment is increased with the high popularity of services provided by the cloud providers. When large number of users outsource their files into the cloud environment privacy becomes the most important issue. In order to assure privacy users encrypt their files before outsourcing it to the cloud server. The efficient searching and effective retrieval of files becomes most complex when the files are stored in the encrypted format. In the previous work Multi-Keyword Ranked Search over Encrypted (MRSE) cloud data is implemented to assure privacy enhanced searching mechanism. The ranking mechanism is used to retrieve the most similar files over the encrypted files. However one cannot assure that whether all retrieved results are having similar fields. This work focuses on implementing the rank test method to check the integrity of the rank order (i.e.) to find out the resulting files are having similar fields or not. Our proposed system is used to retrieve the files with the most similarity values and hence the privacy is improved.
DDDT_A_351021 801..816

Purpose: To study the thrombolytic effect and safety of cRGD urokinase liposomes (cRGD-UK-LIP) in rats with acute pulmonary microthromboembolism (APMTE), and explore the application value of echocardiography (ECHO) in animal models. Patients and Methods: Ninety-six SD rats were randomized into 6 groups (16/group): normal control, sham operation, APMTE, normal saline (NS), free urokinase (UK), cRGD-UK-LIP. Four groups (APMTE, NS, UK, cRGD-UK-LIP) of rats were injected with autologous thrombus to induce APMTE. Samples were injected into 3 groups (NS, UK, cRGD-UK-LIP) of rats after modeling. Echocardiography was used to assess right ventricle (RV) function and morphology in rats. Six rats in each group were randomly selected and pulmonary artery pressure (PAP) of them was measured through ECHO-guided transthoracic puncture. Finally, the rats were killed and their tissues were taken for pathological examination. Results: Compared with normal control or sham operation group, rats in APMTE group had enlarged RV, decreased RV function, increased PAP, and lung tissue of them showed postthromboembolic appearance. There was no significant difference between NS group and APMTE group. RV morphology and function of rats in the UK group and cRGD-UK-LIP group were better and vessels with residual thrombus in these 2 groups were less than APMTE group, especially in the cRGD-UK-LIP group. In terms of PAP, only cRGD-UK-LIP group was significantly lower than APMTE group. No hyperemia, bleeding and swelling were observed in heart, liver and kidney of rats in each group. Conclusion: A rat model of APMTE was successfully established. cRGD-UK-LIP has better thrombolytic effect than free urokinase and it is safe. Echocardiography is not merely an important way to evaluate the morphology and function of RV, transthoracic puncture measurement under the guidance of it can be an effective way to monitor PAP in animal models.
[Re] Explaining in Style: Training a GAN to explain a classifier in StyleSpace

StylEx is an approach for classifier-conditioned training of a StyleGAN2 [6], intending to capture classifier-specific 3 attributes in its disentangled StyleSpace [15]. Attributes can be adjusted to generate counterfactual explanations of 4 the classifier decisions. StylEx is domain and classifier-agnostic, while its explanations are claimed to be human5 interpretable, distinct, coherent and sufficient to produce flipped classifier decisions. We verify these claims by 6 reproducing a selection of the experiments in the paper. 7
Comparing Thickness and Doping-Induced Effects on the Normal States of Infinite-Layer Electron-Doped Cuprates: Is There Anything to Learn?

We grew Sr1-xLaxCuO2 thin films and SrCuO2/Sr0.9La0. 1CuO2/SrCuO2 trilayers by reflection high-energy diffraction-calibrated layer-by-layer molecular beam epitaxy, to study their electrical transport properties as a function of the doping and thickness of the central Sr0.9La0. 1CuO2 layer. For the trilayer samples, as already observed in underdoped SLCO films, the electrical resistivity versus temperature curves as a function of the central layer thickness show, for thicknesses thinner than 20 unit cells, sudden upturns in the low temperature range with the possibility for identifying, in the normal state, the T* and a T** temperatures, respectively, separating high-temperature linear behavior and low-temperature quadratic dependence. By plotting the T* and T** values as a function of TConset for both the thin films and the trilayers, the data fall on the same curves. This result suggests that, for the investigated trilayers, the superconducting critical temperature is the important parameter able to describe the normal state properties and that, in the limit of very thin central layers, such properties are mainly influenced by the modification of the energy band structure and not by interface-related disorder.