Reviewerly/exHarmony huggingface dataset:
Roadmaps, Panels, and Proposals: Quantum Computing with…

The 2002 and 2016 roadmaps for quantum computing are peresented, as well as a tiny part of published proposals of various physical objects to serve as qubits for quantum computing.
Secure Data-Flow Compliance Checks between Models and Code based on Automated Mappings.

During the development of security-critical software, the system implementation must capture the security properties postulated by the architectural design. This paper presents an approach to support secure data-flow compliance checks between design models and code. To iteratively guide the developer in discovering such compliance violations we introduce automated mappings. These mappings are created by searching for correspondences between a design-level model (Security Data Flow Diagram) and an implementation-level model (Program Model). We limit the search space by considering name similarities between model elements and code elements as well as by the use of heuristic rules for matching data-flow structures. The main contributions of this paper are three-fold. First, the automated mappings support the designer in an early discovery of implementation absence, convergence, and divergence with respect to the planned software design. Second, the mappings also support the discovery of secure data-flow compliance violations in terms of illegal asset flows in the software implementation. Third, we present our implementation of the approach as a publicly available Eclipse plugin and its evaluation on five open source Java projects (including Eclipse secure storage).
SKILLS ANALYSIS IN AN ENGINEERING DEGREE USING FUZZY LOGIC. A CASE STUDY

Current and future graduates of agricultural engineering degrees have to face a series of challenges that condition a reality characterized by volatility and uncertainty. Climate Change mitigation and adaptation, food security assurance, precision agriculture’s potential development and raising the interest of students in this kind of qualifications are the main challenges that must be addressed. Therefore, it is essential to reflect on the suitability of the current curricula of these degrees to overcome those restrictions. In this work, we analyze the current situation of this degree at the Miguel Hernandez University of Elche (Spain) and, based on expert’s opinions, we grade the general skills of the graduates applying diffuse logic. The results indicate a high importance of instrumental skills and knowledge of core subjects as opposed to personal skills and of these over systemic and other transversal skills, while professional skills are listed last.
DIFFERENCES BETWEEN PERCEIVED AND ACTUAL INFORMATION LITERACY CAPABILITIES OF LOWER SECONDARY SCHOOL STUDENTS IN SLOVENIA

This paper aims to focus on investigating information literacy capabilities (IL) of the end-class of Slovenian lower secondary school students at the transition point between compulsory basic education and elective upper secondary schools. The second aim was an investigation of a discrepancy between perceived and actual IL capabilities as measured by 14-items multiple-choice knowledge test and corresponding self-assessment tool.Background of the research was a recognition that the ability to effectively retrieve, evaluate, manage and use knowledge and information plays an increasingly important role in the personal and professional development of each individual. From the point of an individual developing information literacy (IL) is an increasingly prominent need as a foundation for lifelong learning which offers an individual with an opportunity for better employment. From the standpoint of a society IL citizens can better evaluate sources and solutions that can influence the economic competitiveness of the country. However, with the development of information technology and global access to the multitude of web sources of different forms, content and value, access to information is easier but on the other hand a large quantity of information is of questionable value. Therefore, it becomes increasingly important to have sufficient skills to extract the useful and trustfully data from large information sets which are available.For measurement of the actual knowledge levels, the IL-test (ILT) was assembled as a multiple-choice instrument composed of 14 questions, each offering a choice of four possible answers. The modified ILT used in this research contained 14 multiple choice questions which were recognized as relevant for lower secondary students and were tested in previous research of IL at higher educational levels (Boh et al., 2016). Each question was accompanied by a subquestion about the difficulty level of each question on a scale between very easy (1) to very difficult (5). The research was conducted in 8 urban and suburban lower secondary schools. We collected responses of 144 students in Slovenia. The main findings reveal that the students perceive themselves as above average but the IL test showed only average results.Acknowledgement:The authors acknowledge the financial support from the Slovenian Research Agency for support to the project “Development, testing and validation of an autonomous intelligent and adaptive e-learning system for the improvement of information literacy of adolescents”, grant no. J5-8230. No conflict of interests is reported for the study. Primary data and research instruments are available on request from the corresponding author. References:[1] Boh Podgornik, B., Dolničar, D., Šorgo, A., & Bartol, T. (2016). Development, testing, and validation of an information literacy test (ILT) for higher education. Journal of the Association for Information Science and Technology, 67(10), 2420-2436.
New Steganalytic Approach for AMR Steganography Based on Block-Wise of Pulse Position Distribution and Neighboring Joint Density

Adaptive multi-rate (AMR) is a popular audio compression standard, various AMR FCB (Fixed Codebook) steganographic algorithms have been developed and more readily available for the popularity of AMR in mobile communication and mobile Internet, an effective steganalysis techniques are called for cyber security. In this paper, we propose a well-designed steganalytic scheme to effectively detect FCB steganography. For this purpose, we first elaborately to model the pulse position 2-D arrays formed on the pulses positions. Neighboring joint density features are constructed based on the intra-block and inter-block from multi scales and multi directions extracted. Experimental results show that, our method prominently outperforms the existing FCB based steganalysis, especially in detecting the STC-based steganographic systems at low embedding rate.
Community Detection Using Citation Relations and Textual Similarities in a Large Set of PubMed Publications

In this contribution, the effects of enhancing direct citations, with respect to publication-publication relatedness measurement, by indirect citation relations (bibliographic coupling and co-citat ...
Enhancing Network Security for Image Steganography by Splitting Graphical Matrix

The proposed work has focused on the security of image in order to save it from external attacks. However there have been several existing steganography mechanisms to secure the graphical contents but there are still threats from external attacks. Moreover in case of bulky image it becomes difficult to shift content over network without any loss. Thus proposed work has been introduced to allow graphical splitter mechanism to break graphical content in multiple parts by splitting image matrix in two or multiple parts according to image size. If the image size is less bulky, it could be split into just two parts or if the image size is more bulky, it could be split into more than two or multiple parts. This would save the image from being hacked or read in unauthentic manner. The proposed work would apply a key to divide image matrix in two or more than two parts so that it could not be easily understood. The proposed work is also concentrated on Threats to security, Nature of attacks, and Delay in pre-processing. It also focused on Delay during the process of encryption and decryption, Image Quality. Moreover there are several compression techniques to compress the graphical contents to increase the transmission speed. The proposed work has compared traditional compression mechanism with present splitting mechanism that would reduce the size of image along with providing security.
Robust Feature Matching via Two Constraints Interaction

Feature matching is a critical step in a variety of vision-based applications. However, it is difficult to customize a general method due to complicated image transformations. In this paper, we formulate feature matching into a mathematical problem, which is simple and does not rely on any specific model. Specifically, we construct an objective function based on two constraints (i.e., geometric constraint and consistency constraint). Different from the previous work, we exploit the interaction of these two constraints to reject outliers. Besides, we adopt an iterative strategy to boost the number of inliers. To accelerate the matching process, we use the parallel computing to obtain the information of K nearest neighbors for each feature point. Experimental results on ten image pairs (undergo different image transformations) compared with other state-of-the-arts demonstrate our superiority both in accuracy and efficiency.
Lock-Free Hopscotch Hashing.

In this paper we present a lock-free version of Hopscotch Hashing. Hopscotch Hashing is an open addressing algorithm originally proposed by Herlihy, Shavit, and Tzafrir, which is known for fast performance and excellent cache locality. The algorithm allows users of the table to skip or jump over irrelevant entries, allowing quick search, insertion, and removal of entries. Unlike traditional linear probing, Hopscotch Hashing is capable of operating under a high load factor, as probe counts remain small. Our lock-free version improves on both speed, cache locality, and progress guarantees of the original, being a chimera of two concurrent hash tables. We compare our data structure to various other lock-free and blocking hashing algorithms and show that its performance is in many cases superior to existing strategies. The proposed lock-free version overcomes some of the drawbacks associated with the original blocking version, leading to a substantial boost in scalability while maintaining attractive features like physical deletion or probe-chain compression.
Distributed Parallelizability Analysis and Optimization of Legacy Code in Cloud Migration

More and more organizations plan to migrate their legacy systems to cloud so as to improve the efficiency of data processing. In order to take full advantage of the parallel virtue of cloud computing, legacy system need to be refactored according to the cloud computing program model. Before that, the parallelizability analysis is the first thing to do. This paper first proposes Distributed parallelizability of legacy code in the process of refactoring from Legacy code to Mapreduce code (DPLM), and then derives four parallel-determinable features according to the rule: data dependency, continuous dependency, non-homology and randomness. Then algorithms are developed to detect parallel-determinable features. Only the legacy code which is not satisfied with all the four-point features can be refactored to parallelizable MapReduce code. However, through practice, the situation is discovered that there are some type of legacy codes can't take advantage of the parallelism of MapReduce. To solve this problem, parallel-determinable features is divided into strong and weak features. Weak features can be resolved by reorganizing source input file. Partial strong features can be resolved by iterative grading. Finally, the experiments show the validity of DPLM and optimization method, parallel-determinable features and optimization methods.
THEATRE AND ECONOMICS MEET ON THE STAGE: ASSESSMENT OF A TEACHING INNOVATION PROPOSAL IN STUDENTS OF ECONOMICS AND BUSINESS ADMINISTRATION

The School of Economics and Business Administration Sciences at the University of Castilla-La Mancha celebrates, since 2012, an innovative teaching proposal seminar that links two suitable and supplementary areas such as Theatre and Economics. Joining theatre plays, developing speaking and effective communication activities, being part of discussions in face-to-face or in telematic forums, students and teachers can share impressions, opinions, and theories about social and economic issues which are reflected in the society and, that they are also explicitly associated with the required competences in their bachelor’s degrees. The objective of this paper is multiple. Firstly, we evaluate this innovative teaching proposal since its origin (the academic year 2012-2013) to the academic year 2018-2019. To do so, we analyze the results of satisfaction surveys answered by the enrolled students and a sample of their working papers used to summarize their performance, feelings and opinions. Secondly, we also describe what activities were proposed in the different editions of the seminars. These activities could be useful to teachers or people interested in linking Theatre and Economics. Lastly, we offer suggestions and pieces of advice based on our experience in order to guarantee optimal performance of the seminar for both, organizers and enrolled students.
Experimental study of the neuron-like dynamics of a semiconductor laser with optical feedback and current modulation

Excitable lasers that mimic neuronal activity can be building blocks of ultra-fast neuro-inspired information processing systems, which can revolutionize the fields of optical signal processing, optical computing and artificial intelligence. To implement such photonic neurons, we must first identify low-cost and energy-efficient lasers whose excitable dynamics mimics neuronal dynamics. Here we conduct an experimental study of the dynamics of a diode laser with optical feedback from an external cavity. We focus on the response of the laser when is under weak periodic perturbations that are implemented via direct modulation of the laser pump current. We consider sinusoidal and pulsed waveforms. The dynamics of the laser intensity is compared with the dynamics of the membrane potential of a neuron, which is simulated with the FitzHugh-Nagumo (FHN) model. The analysis of the statistics of the time intervals between dropouts of the laser intensity (optical spikes) and of the time intervals between the neuron's action potentials (or spikes) unveils similarities, and also differences. The analysis of the spike rate reveals a variation with the amplitude and with the frequency of the external signal that is similar for both, the laser and the FHN neuron. Therefore, in terms of the spike rate, the laser response to a weak periodic signal mimics the response of a FHN neuron, and thus diode lasers with optical feedback can be used to implement photonic neurons. A drawback of this implementation is the length of the feedback cavity, which prevents on-chip integration.
Research on Friend Recommendation Based on Topic Model and Association Rules

In the relationship based friend recommendation, aiming at the lack of combining user’s text content with user’s topology in social applications, the topic model and association rule friend recommendation model (FP-LDA) are proposed to implement friend recommendation. The LDA Algorithm is used to extract short text topics, do similarity calculation and clustering, select users with similar topics, use FP-Growth algorithm to mine the relationship of users’ attention, and make friend recommendation. Experimental results show that the algorithm has good performance and can achieve high recall and precision.
An analysis of continuity of communicative functions in elementary school English textbook

The purpose of this study was to investigate the continuity of communicative functions of the auditory data that derived from the 2015 elementary school English textbook. Corpora data was compiled of 20 elementary school English textbooks (5 different textbooks from 3rd to 6th grade), wherein sentences were tagged based on classification of its communication function presented in the national curriculum. Then, the continuity of communicative functions was measured and verified by WordSmith Tools 6.0 and the Development Criteria in Language Form (Yu Myung-hee, 2001). Findings show that sub-functions of asking questions, answering, stating and reporting, confirming and explaining are the most frequent functions. The 42 sub-functions out of 121 total sub-functions including these four high frequency sub-functions obtain continuity across different textbooks of incrementing grades. The continuity of investigated sub-functions helps learners be exposed repeatedly to the sub-functional expressions and thus excel the process of storing learning content as long-term memory. Another positive finding is that the investigated sub-functions are in general sequence maintaining an appropriate level of enhanced complexity and expanded expressions. Implication drawn from this study is that low frequency sub-functions (61.2%) require more attention to appropriate continuity throughout the textbook as well as the high frequency sub-functions (38.8%) in current textbooks.
Robustness improvement for the calibration of stereo deflectometry based on a search algorithm

Iterative calculation is a necessary step in the calibration of stereo deflectometry. Inaccurate input can result in the iterative process converging in a wrong position or unconvergence. Image distortion is an important factors affecting the accuracy of the input. In order to reduce the influence of image distortion and increase the robustness of the calibration, a method based on a search algorithm is investigated for stereo deflectometry. Because there is few distortion at an image center, a search window with a certain border length is positioned at the image center to obtain a group of data for the iterative process. The size of the window is determined based on an algorithm proposed in this paper. Due to the fact that the centers of distortion and image are not coincident, the window is consecutively relocated within the image. A function is proposed to evaluate the input accuracy. Along with the window moving, the calculated data which makes the proposed function reach the minimum is selected to compute the following iterative process. Experimental results affirm the presented method can significantly enhance the robustness of the calibration accuracy of a stereo deflectometry system. By applying the proposed method, the RMS (root mean square) of calibration error can be increased from 0.31 pixels to 0.05 pixels.
Stable nonequidistant pulsing patterns in an excitable microlaser with delayed optical feedback (Conference Presentation)

As sources of short, high-amplitude light pulses, self-pulsing lasers are central to many applications, including telecommunications and neuromorphic photonic computing. We consider an excitable semiconductor micropillar laser subject to delayed optical feedback. The microlaser alone displays an all-or-none response to external perturbations. In the presence of feedback, a first excitable pulse can regenerate itself after a delay time, thus resulting in a train of pulses with repetition rate close to the delay time. Several pulse trains can be triggered and sustained simultaneously. Although they can seem independent on the timescale of the experiment, recent work showed that all pulsing patterns correspond to very long transient towards one of the stable periodic solutions of the system. Only stable solutions corresponding to equidistant light pulses in the feedback cavity were observed. We demonstrate experimentally and numerically that stable periodic solutions corresponding to non-equidistant pulses can also exist and be stable. A bifurcation analysis of a suitable mathematical model unveils the conditions on the timescales of the gain and absorption variables for such solutions to exist. We show that the long-term timing between non-equidistant pulses is fixed by the system parameters and does not depend on the initial timing between the pulse trains. Moreover, the bifurcation analysis demonstrates that, for a given number of coexisting pulses in the feedback cavity, only one configuration is stable, corresponding either to equidistant pulses or non-equidistant pulses with a fixed interpulse timing. The latter originates from a period doubling bifurcation and can also be viewed as a symmetry breaking phenomenon of the time-shift symmetry sustained by the system. Our results provide a better understanding of pulsing dynamics in an excitable laser with delayed feedback. Because the only ingredients here are excitability and feedback, we believe our results may be of interest beyond the scope of laser dynamics.
Application of Target Detection Algorithms in Railway Intrusion

China’s railway construction level is relatively high, and the level of operation and maintenance needs to be developed. The development of railway video technology is of great significance for improving the safety of railway operations and reducing the occurrence of accidents. This paper mainly studies the application of target detection algorithm in railway scenarios. For the railway video detection, this paper adopts four kinds of target detection algorithms: unsupervised frame difference method, background difference method, supervised class based on deep learning YOLOv3, Faster-RCNN algorithm. By collecting the video image data of the railway scene, the data set training deep learning algorithm is created, and then the four kinds of target detection algorithms are used to process the collected railway video image data, respectively, and the test algorithm is used for the perimeter intrusion detection effect in the railway scene. By comparison, it points out its advantages and disadvantages in the railway perimeter invasion.
Social epistemology in information studies

The present paper aims to provide new details and information on the intellectual context in which social epistemology was born, including aspects such as its theoretical influences, intellectual contexts, and main characteristics. As methodology it presents an analysis of the writings on social epistemology by Jesse Shera and Margaret Egan selected from different and sometimes rare sources and collection. After an the analysis, the paper addresses the relationship between the historical social epistemology proposed by Margaret Egan and Jesse Shera as a discipline to investigate the foundations of librarianship and the contemporary social epistemology proposed by Steve Fuller as a program of a “naturalistic approach to the normative questions surrounding the organization of knowledge processes and products.” Both these proposals are outlined as an interdisciplinary project that is based on both philosophical epistemology and the scientific sociology of knowledge.
Robust Context-Aware Tracking with Temporal Regularization

Discriminative Correlation Filters demonstrate superior capabilities, while still suffering from background clutter. The proposed context-aware correlation filter (CACF) framework effectively avoids the interference of background noise with the explicit incorporation of global context information. However, there is still sequential context information that is not considered. This work proposes a robust context-aware tracking based on hand-crafted features by adding a temporal regularization. The temporal regularization term provides temporal information for learning filter, which limits the mutation of the filter. Experiments on OTB-100 show that our tracker demonstrates excellent accuracy and significantly improves the robustness of CF trackers and those trackers in the CACF framework.