Miracle-dz/UniFAR-FTUs huggingface dataset:
Poster : Image Suitability for Graphical Passwords

This work proposes a metric for determining the suitability of guiding images for graphical passwords. This measurement is intended to favor images that encourage users to select memorable, but non-obvious password click points. The metric was developed by analyzing thousands of passwords on a small but varied image database. We found that saliency covered the most frequently clicked portions of an image. Our results show that our model accurately predicts which images will score highest on both memorability and strength, thus providing an indicator as to which images are more suitable as guiding images for graphical passwords.
Online Adaptive Fault Tolerant based Feedback Control Scheduling Algorithm for Multiprocessor Embedded Systems

Since some years ago, use of Feedback Control Scheduling Algorithm (FCSA) in the control scheduling co-design of multiprocessor embedded system has increased. FCSA provides Quality of Service (QoS) in terms of overall system performance and resource allocation in open and unpredictable environment. FCSA uses quality control feedback loop to keep CPU utilization under desired unitization bound by avoiding overloading and deadline miss ratio. Integrated Fault tolerance (FT) based FCSA design methodology guarantees that the Safety Critical (SC) tasks will meet their deadlines in the presence of faults. However, current FCSA design model does not provide the optimal solution with dynamic load fluctuation. This paper presented a novel methodology of designing an online adaptive fault tolerant based feedback control algorithm for multiprocessor embedded systems. This procedure is important for control scheduling co-design for multiprocessor embedded systems.
The origin of the high velocity circumstellar gas around SN 1998S

ABSTRACT Modelling of high resolution Balmer line proﬁles in the early-time spectra ofSN 1998S shows that the inferred fast (≈400 km s −1 ) circumstellar (CS) gas ondays 23 and 42 post-explosion is conﬁned to a narrow, negative velocity gradient shelljust above the photosphere. This gas may be identiﬁed with a slow (v < 40 km s −1 )progenitor wind accelerated at the ejecta-wind interface. In this scenario, the photo-sphere coincides with a cool dense shell formed in the reverse shock. Acceleration byradiation from the supernova or by a shock-accelerated relativistic particle precursorare both possible explanations for the observed fast CS gas. An alternative, equallyplausible scenario is that the fast CS gas is accelerated within shocked clouds engulfedby the outer shock, as it propagates through the intercloud wind.Key words: supernovae – circumstellar matter – : stars. 1 INTRODUCTIONSupernova (SN) 1998S in NGC 3877 was discovered by Li WFassia et al. 2001), broad emission lines originating from theinteraction (Leonard et al. 2000; Gerardy et al. 2000; Fas-sia et al. 2001), and radio and X-ray emission (Pooley et al.2001). Despite extensive eﬀort in the past, we still have apoor understanding of the origin of the large pre-supernovamass loss and the ejecta-wind interaction phenomenon inSNe IIn.SN 1998S is the most comprehensively observed SN IIn,thus providing us with an excellent opportunity for gaininga deeper insight into the morphology and origin of the denseCS environment and the physics of the interaction. Of par-ticular interest is the origin of two distinct CS wind velocitycomponents deduced from high resolution early-time spec-tra of SN 1998S taken at ∼2–5 weeks after the explosion(Bowen et al. 2000; Fassia et al. 2001). These had velocitiesof u
Frogeye: Perception of the slightest tag motion

Existing methods in RFID systems often employ presence or absence fashion to detect the tags' motions, so they cannot meet motion detection requirement in many applications. Our recent observations suggest that the signal strength backscattered from the tag is hypersensitive to its position, inspiring us to perceive the tag motion through its radio signal strength changes. Motion perception is not trivial and challenged by weak stability of strength in that any other interference or noise may incur significant changes as well, resulting in high false positives. To tackle this issue, we propose to model the strength via the Mixture of Gaussian Model (MoG). The problem is thus converted to foreground segment in computer vision with the help of Strength Image, where the technique of MoG based background subtraction is employed. We then implement a prototype using commercial off-the-shelf products. The evaluation results show that the slightest tag motion (~ 10cm) can be precisely perceived, and the accuracy is up to 92.34% while the false positive is suppressed under 0.5%.
Thermal Flow Simulation and Concave Type Slot Nozzle Design for Twin Roll Casting of Magnesium Alloy AZ31

Twin- roll casting of magnesium alloys is a rapidly solidifying process, which can directly produce thin strips from molten metal. In this paper, based on a pilot vertical type twin-roll caster, 3D models of twin-roll casting process were used for simulation of thermal flow and solidification on depending of casting speed, molten pool level and pouring temperature. The effect of side dams on thermal flow behavior was also considered. Based on the analyzed results, a proper concave slot nozzle was designed to compensate temperature variation across the width of strip. Comparing with parallel type slot nozzle, it can adjust temperature distribution along the roll width continuously by adopting proper concave curves, which is more flexible than rectification boards delivery system. Strips of magnesium alloy AZ31 were produced in the pilot caster with the concave slot nozzle. The experiments show that surface quality of as cast strip was improved by using the new type of nozzle.
Effect of Music on Perceived Exertion, Plasma Lactate, Norepinephrine and Cardiovascular Hemodynamics during Treadmill Running

We examined the effects of listening to headphone music in ten well trained men (25.1 +/- 6 years) during treadmill running. Maximal oxygen consumption, determined by open circuit spirometry, was followed by two submaximal work bouts 72 hours apart. The work bouts consisted of a supine rest, a 15 minute run at 70% of maximal oxygen consumption, and a three minute active recovery period. Participants listened to music during one of the two trials. Hemodynamic variables and perceived exertion were recorded at three minute intervals during each trial. A venous blood sample, obtained prior to and following each trial, was assayed for norepinephrine and plasma lactate. Analysis of variance revealed significant differences (p < 0.05) between the no music versus the exercise with music trial for (aggregate data 3,6,9,12,15 minutes): heart rate 152.9 +/- 5.3 to 145.9 +/- 4.7 beats x min(-1); systolic blood pressure, 158.1 +/- 3.7 to 151.7 +/- 3.3 mmHg; rate-pressure product 242.2 +/- 11.5 to 222.1 +/- 11.4; exercise lactate 2.75 +/- 0.15 to 2.13 +/- 0.18 mmol x l(-1); and perceived exertion 14.4 +/- 0.4 to 12.9 +/- 0.4. A 17.5% lower level of norepinephrine (841.5 +/- 314.7 to 694.1 +/- 254.5 pg x ml[-1]) in the exercise and music trial was not statistically significant (p<0.05); however a moderate effect size (ES = 0.52) was calculated and may be of practical significance considering the variability of the sample. Higher values for hemodynamics and lactate in the no music trial is suggestive of a greater metabolic demand; however, oxygen consumption was not different. Perhaps the music allowed individuals to relax reducing muscle tension thereby increasing blood flow and lactate clearance while decreasing lactate production in working muscle. The combined results of this study suggest the introduction of music has a psychobiological impact on the exerciser demonstrated by changes in perceived effort, lactate and norepinephrine.
Figurative Language: "Meaning" is Often More than Just a Sum of the Parts

Although the field of natural language processing has made considerable strides in the automated processing of standard language, figurative (i.e., non-literal) language still causes great difficulty. Normally, when we understand human language we combine the meaning of individual words into larger units in a compositional manner. However, understanding figurative language often involves an interpretive adjustment to individual words. A complete model of language processing needs to account for the way normal word meanings can be profoundly altered by their combination. Although figurative language is common in naturally occurring language, we know of no previous quantitative analyses of this phenomenon. Furthermore, while certain types and tokens are used more frequently than others, it is unknown whether frequency of use interacts with processing load. This paper outlines our current research program exploring the functional and neural bases of figurative language through a combination of theoretical work, corpus analysis, and experimental techniques. Previous research seems to indicate that the cerebral hemispheres may process language in parallel, each with somewhat different priorities, ultimately competing to reach an appropriate interpretation. If this is indeed the case, an optimal architecture for automated language processing may need to include similar parallel-processing circuits.
Optimized texture operators for the automated design of image analysis systems: Non-linear and oriented kernels vs. gray value co-occurrence matrices

The rapid development in image processing technology allows to tackle applications of increasing complexity. For efficient design of application specific systems, design automation techniques are required. This paper reports on activities for automated texture classification system design employing non-linear oriented kernels (NLOK) configured by evolutionary optimization techniques and swarm optimization (PSO). First and second order statistical features of the dominating kernels in automatically adapted regions of interests serve as features for the texture classification. Our approach was tested with benchmark and application data from leather inspection and was found to be viable and competitive in both cases. The optimized feature set was tested versus features computed from gray value co-occurrence matrices (COOC) with non-optimized parameters. The classification rates for NLOK were significantly higher than for COOC (> 75% vs. 90% vs. < 90%). Regarding the two optimization approaches, PSO outperformed genetic algorithms (GA) in optimization time and in accuracy for the benchmark data and in accuracy for application data. Additionally, the COOC parameters were adapted as well and yielded higher classification rates than without adaptation.
CS 224 W Project Report : Imperfect Decentralized Search

The problem of decentralized search has been studied for many years, beginning with Milgram’s original social experiment [7]. Participants in the study were asked to forward a letter to some target in Boston, Massachusetts (choosing the person they considered most likely to know the target), and the number of steps that each letter took was observed. Milgram found that, for letters that eventually reached the target, it took only about 6 steps on average to get there, despite the fact that each person in the network had only a localized view (i.e. their acquaintances). Since then, there have been a number of studies investigating what properties of a network make it navigable, i.e. searchable in a small number of steps with only localized information. We call such a process decentralized search because it has no central view of the network. One observation about Milgram’s study is that the participants were not always able to optimize their forwarding according to the criterion given to them, which was to forward the letter to the acquaintance who was most likely to know the target. That is, the decentralized search was not “perfect” according to the metric with which it was performed. This fact has not been reflected in the theoretical studies, however, which for the most part assume the search process they specify is executed perfectly. We are interested in evaluating how an imperfect decentralized search affects network navigability, as this would provide a more realistic simulation of how people in social networks would perform such a search.
Rotation velocities of hot horizontal branch stars in the globular clusters NGC 1904, NGC 2808, NGC 6093, and NGC 7078: The database

We present radial and rotation ($v\sin i$) velocity measurements from UVES+VLT high resolution spectra of 61 stars in the blue horizontal branches (HB) of the Galactic globular clusters NGC 1904 (M 79), NGC 2808, NGC 6093 (M 80) and NGC 7078 (M 15). The data reduction and the velocity determination, based on cross-correlation techniques, are discussed in detail. Most of this database has been used by Recio-Blanco et al. ([CITE]) in their analysis of the rotation velocity properties of blue HB stars. Here we present additional data for NGC 2808. We confirm the results of the previous paper, in particular, a possible link between the HB jump and the abrupt change in the rotational velocity distribution around $T_{\rm eff}\sim 11\,500$ K.
AIS Electronic

Advances in technology and digitalisation have changed the ways services are created and offered to users. Successful new innovative services and service value co-creation are done in collaboration with organisations and actors in contexts such as business ecosystems. The research relating to service design and open innovation in business ecosystems is cross-disciplinary, and relevant knowledge is scattered throughout different fields. In this research, we are focusing on the research that exists in the areas of service design and open innovation in the business ecosystems context. We aim to collect, analyse and synthesise this existing knowledge in order to increase the understanding of the companies’ service design and open innovation activities in business ecosystems. A mapping study method is utilised to identify the existing related research in the area and to create an overview. The final analysis included 38 papers. Our analysis revealed that the relevant research is focused mainly on two research areas: business research and information technology-related research. Most of the papers combine the open innovation and business ecosystem aspects, but service design is mostly present as a general view on services as means for value creation. We identified antecedents for service value co-creation, such as practices for ecosystem actor involvement. We also identified challenges, such as managing the business ecosystem in terms of finding the right actors. The results indicate that more focused research on the practical understanding of service design and open innovation practices, methods and tools as well as sound theory development are still needed as the research field matures. The results help inform future research in this cross-disciplinary phenomenon.
The perception of lexical tone contrasts in Cantonese children with and without specific language impairment (SLI).

PURPOSE This study examined the perception of fundamental frequency (f0) patterns by Cantonese children with and without specific language impairment (SLI). METHOD Participants were 14 five-year-old children with SLI, and 14 age-matched (AM) and 13 four-year-old vocabulary-matched (VM) controls. The children identified a word from familiar word pairs that illustrated the 8 minimally contrastive pairs of the 6 lexical tones. They discriminated the f0 patterns within contrastive tonal pairs in speech and nonspeech stimuli. RESULTS In tone identification, the SLI group performed worse than the AM group but not the VM group. In tone discrimination, the SLI group did worse than the AM group on 2 contrasts and showed a nonsignificant trend of poorer performance on all contrasts combined. The VM group generally did worse than the AM group. There were no group differences in discrimination performance between speech and nonspeech stimuli. No correlation was found between identification and discrimination performance. Only the normal controls showed a moderate correlation between vocabulary scores and performance in the 2 perception tasks. CONCLUSION The SLI group's poor tone identification cannot be accounted for by vocabulary knowledge alone. The group's tone discrimination performance suggests that some children with SLI have a deficit in f0 processing.
Bioinformatics Analysis on Subcellular Localization and Functional Site of CagM Protein in Helicobacter pylori Cag Pathogenicity Island

[Objective]This paper aims to make a bioinformatics analysis on the subcellular localization and functional site of CagM protein in helicobacter pylori cag pathogenicity island and further explore the functions of CagM protein. [Methods]Apply SubLoc v1.0 program to make the subcellular localization of this protein, and use TargetP program and PSORTb version 2.0. 4 to make the verification and analysis; use ANTHEPROT 5.0, Gene3D Scan Sequence software and InterPro Scan software to analyze the functional site of CagM protein, and use DOG1.0 software for the drawing. [Results]CagM is a kind of secretory protein located in the periplasmic space rather than a membrane protein; CagM has many functional sites such as N-glycosylation site, protein kinase C phosphorylation site, tyrosine kinase phosphorylation site, and myristoylation acting site as well as many PDZ III binding sites. [Conclusion]As a kind of secretory protein located in the periplasmic space, CagM protein will become the substrate of many kinds of kinases after the translation and a series of modification, and after it is activated, it will participate in the signal transmission function and the assembly of IV type secretion system, which may play a role in the collection and assembly process of other proteins.
Feasibility of Agar‐Silica Phantoms in Quality Assurance of MRgHIFU

Although many phantom types for magnetic resonance guided high intensity focused ultrasound (MRgHIFU) exist, the number of reusable phantoms for quality assurance (QA) purposes is limited. For reliability, the phantom should be structurally and compositionally uniform, and acoustically isotropic. It should also be cheap and easy to produce, and maintain its physical and chemical properties even in long‐term use. Various authors have used water, agar, and silicon‐dioxide (silica) to produce phantoms with ultrasound attenuation coefficient in a range typical of soft tissues. However, their applicability in MRgHIFU use has not been investigated systematically or verified in previous studies. In this study, agar‐gel‐based tissue‐mimicking heating phantom material is optimized and its MRgHIFU‐usability is tested and verified. Acoustic properties of the phantom material with different concentrations of silica were determined experimentally. The ultrasound attenuation coefficient was found to be linearly and pos.
Grid-Enabled Optimization with GAMS

We describe a framework for modeling optimization problems for solution on a grid computer. The framework is easy to adapt to multiple grid engines and can seamlessly integrate evolving mechanisms from particular computing platforms. It facilitates the widely used master-worker model of computing and is shown to be flexible and powerful enough for a large variety of optimization applications. In particular, we summarize a number of new features of the GAMS modeling system that provide a lightweight, portable, and powerful framework for optimization on a grid. We provide downloadable examples of its use for embarrasingly parallel financial applications, decomposition of complementarity problems, and for solving very difficult mixed-integer programs to optimality. Computational results are provided for a number of different grid engines, including multicore machines, a pool of machines controlled by the Condor resource manager, and the grid engine from Sun Microsystems.
LiDAR Scan Matching Aided Inertial Navigation System in GNSS-Denied Environments

A new scan that matches an aided Inertial Navigation System (INS) with a low-cost LiDAR is proposed as an alternative to GNSS-based navigation systems in GNSS-degraded or -denied environments such as indoor areas, dense forests, or urban canyons. In these areas, INS-based Dead Reckoning (DR) and Simultaneous Localization and Mapping (SLAM) technologies are normally used to estimate positions as separate tools. However, there are critical implementation problems with each standalone system. The drift errors of velocity, position, and heading angles in an INS will accumulate over time, and on-line calibration is a must for sustaining positioning accuracy. SLAM performance is poor in featureless environments where the matching errors can significantly increase. Each standalone positioning method cannot offer a sustainable navigation solution with acceptable accuracy. This paper integrates two complementary technologies—INS and LiDAR SLAM—into one navigation frame with a loosely coupled Extended Kalman Filter (EKF) to use the advantages and overcome the drawbacks of each system to establish a stable long-term navigation process. Static and dynamic field tests were carried out with a self-developed Unmanned Ground Vehicle (UGV) platform—NAVIS. The results prove that the proposed approach can provide positioning accuracy at the centimetre level for long-term operations, even in a featureless indoor environment.
Ontology-based approach for in vivo human connectomics: the medial Brodmann area 6 case study

Different non-invasive neuroimaging modalities and multi-level analysis of human connectomics datasets yield a great amount of heterogeneous data which are hard to integrate into an unified representation. Biomedical ontologies can provide a suitable integrative framework for domain knowledge as well as a tool to facilitate information retrieval, data sharing and data comparisons across scales, modalities and species. Especially, it is urgently needed to fill the gap between neurobiology and in vivo human connectomics in order to better take into account the reality highlighted in Magnetic Resonance Imaging (MRI) and relate it to existing brain knowledge. The aim of this study was to create a neuroanatomical ontology, called “Human Connectomics Ontology” (HCO), in order to represent macroscopic gray matter regions connected with fiber bundles assessed by diffusion tractography and to annotate MRI connectomics datasets acquired in the living human brain. First a neuroanatomical “view” called NEURO-DL-FMA was extracted from the reference ontology Foundational Model of Anatomy (FMA) in order to construct a gross anatomy ontology of the brain. HCO extends NEURO-DL-FMA by introducing entities (such as “MR_Node” and “MR_Route”) and object properties (such as “tracto_connects”) pertaining to MR connectivity. The Web Ontology Language Description Logics (OWL DL) formalism was used in order to enable reasoning with common reasoning engines. Moreover, an experimental work was achieved in order to demonstrate how the HCO could be effectively used to address complex queries concerning in vivo MRI connectomics datasets. Indeed, neuroimaging datasets of five healthy subjects were annotated with terms of the HCO and a multi-level analysis of the connectivity patterns assessed by diffusion tractography of the right medial Brodmann Area 6 was achieved using a set of queries. This approach can facilitate comparison of data across scales, modalities and species.