Reviewerly/exHarmony huggingface dataset:
Capsule-Networks Towards Object-Detection Capsule Object-Detector (COD)

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Verifying Multi-Particle Entanglement with a Few Detection Events

Entanglement verification becomes hard when dealing with large quantum systems. By treating this task probabilistically, we certify entanglement with high confidence in an experimental photonic six-qubit cluster state by using only a few detection events.
Quantum memory decoherence-mitigating architecture for quantum repeaters

We propose a nested quantum repeater architecture that mitigates quantum memory decoherence by optimizing the memory access time. This maximizes the distillable entanglement rate in the remote entangled state for technologically feasible repeater parameter regimes.
Modified Stacked Hourglass Networks for Facial Landmarks Detection

Facial landmarks detection is a fundamental research topic in computer vision. This topic has been largely improved recently thanks to the development of convolution neural networks (CNN). This paper proposes a modified version of the Stacked Hourglass Network, which is a state-of-the-art architecture for landmark localization. Instead of using the original residual block, this paper uses the $$\lambda $$ -residual-block to get more effective features. The proposed network can achieve better result than other state-of-the-art methods on two very challenging 3D facial landmark datasets, Menpo-3D and 300 W.
Domain Adaptation for Semantic Segmentation with Conditional Random Field.

Fully-convolutional neural networks (CNNs) for semantic segmentation dramatically improve performance using end-to-end learning on whole images in a supervised manner. The success of CNNs for semantic segmentation depends heavily on the pixel-level ground truth, which is labor-intensive in general. To partially solve this problem, domain adaptation techniques have been adapted to the two similar tasks for semantic segmentation, one of which is fully-labelled, while the other is unlabelled. Based on the adversarial learning method for domain adaptation in the context of semantic segmentation (AdaptSegNet), this paper proposes to employ the conditional random field (CRF) to refine the output of the segmentation network before domain adaptation. The proposed system fully integrates CRF model with CNNs, making it possible to train the whole system end-to-end with the usual backpropagation algorithm. Extensive experiments demonstrate the effectiveness of our framework under various domain adaptation settings, including synthetic-to-real scenarios.
A cloud based architecture for competence management and discovery

This work aims to define a method based on conceptual graphs formalism for competence management, and then apply the method for competence discovery and composition on distributed competence and knowledge bases. The paper contributes towards competence and knowledge management literature in two ways. The first contribution is first to formally represent the competences and second to define detailed algorithms for competence discovery and composition. The second contribution is in defining a conceptual architecture for the system of competence management and discovery based on the cloud in order to face the problems related to scalability, to take profit of the benefits of cloud computing technology and as a basis for the proof of concepts.
Polarization-preserving quantum frequency conversion for entanglement distribution in trapped-atom based quantum networks

We present efficient and low-noise polarization-preserving quantum frequency conversion devices connecting trapped Ca+-ions (854nm) and Rb-atoms (780nm) to the telecom bands for long-distance entanglement distribution in quantum networks. With Ca+-ions, entanglement-preserving conversion is realized.
디자이니어 양성 커리큘럼 및 캡스톤 디자인 응용 사례연구: 로봇청소기의 디자인적 사고 프로세스 사례를 중심으로

This paper deals with a ‘Designeer’ education program that has a specific objective of educating design to undergraduate students in mechanical...
Quantum-Enhanced Magneto-optic Measurements in a Dissipative Medium

Precision phase estimation of interferometry can benefit from a quantum enhancement by using multi-photon entangled states. Magneto-optic measurements in a lossy medium demonstrate the need for optimization of interaction so that ’’quantum” outperforms ”classical.”
A novel method of data remapping for quantum information science

We propose a novel method of data remapping which scales linearly with the size of the system and captures information from multidimensional structures. Results demonstrate it is highly effective for quantum dots states recognition.
Cybersecurity: Where Are We Now?

As we put another winter behind us, it's time to ask some hard questions about how well we've spent our time preparing for the brave new world of ubiquitous communications and computing.
Seedless ultrafast source-device independent quantum random number generator

We present a new source-device-independent protocol for quantum random number generation valid for arbitrary POVM. We experimentally implemented it using heterodyne detection reaching more than 17 Gbps of secure generation rate.
Tuning single-photon sources for telecom multi-photon experiments

Accidental photon noise and imperfect single-photon purity in spontaneous parametric down-conversion (SPDC) at telecom wavelengths are overcome by exploiting a passive temporal multiplexing scheme and optimizing the spectral properties of the down- converted photons.
Indistinguishability as a quantum information resource by localized measurements

Quantum networks are typically made of identical subsystems. Exploiting indistinguishability as a direct quantum resource would thus be highly desirable. We show this is achievable by spatially localized measurements, enabling teleportation and entanglement swapping protocols.
Towards single-shot readout in double-sided coaxial circuit-QED

We developed and characterized a Josephson parametric amplifier based on an LC resonator and an array of superconducting quantum interference devices (SQUIDs). We performed preliminary experiments of qubit readout in a double-sided coaxial circuit-QED architecture.
Generation and manipulation of quantum frequency states of light with AlGaAs chips

We demonstrate the generation and manipulation of frequency quantum states of light with AlGaAs integrated devices working in the telecom band at room temperature. The manipulation of the spectral wavefunction symmetry allows to obtain both bosonic and fermionic behaviors opening the way to the utilization of our platform in a large variety of quantum information tasks.
Identification of Spoken Language from Webcast Using Deep Convolutional Recurrent Neural Networks

This paper investigated two end-to-end approaches for the identification of spoken language from webcast sources. Long short-term memory (LSTM) and self-attention mechanism architectures are adopted and compared against a deep convolution network baseline model. These methods focused on the performance of spoken language identification (LID) on variable length utterance. The dataset used for experimental evaluation contains five language data collected from webcast (Webcast-5) and ten Chinese dialect language datasets from IFLYTEK (IFLYTEK-10). The end-to-end LID system was trained using five kinds of acoustic features: Mel-frequency cepstral coefficients (MFCCs), shifted delta cepstral coefficients (SDC), Perceptual Linear Prediction (PLP), log Mel-scale filter bank energies (Fbank) and spectrogram energies. The best model using a single feature set achieves an accuracy of 79.6% and a Cavg of 10.87%.
Communication using an indefinite causal structure

It has recently been shown that if two completely depolarizing channels are in a superposition of different orders, classical information can be transmitted that would be otherwise lost [1]. Here, we present a generalization of the results of [1] to study communication with arbitrary depolarizing channels and putting to good use indefinite causal order, a new paradigm for quantum information/computation.
SPECIAL ASPECTS OF EDUCATIONAL BRAND CONSTRUCTION IN THE CONTEXT OF E-NEURAL NETWORK ECONOMY

The search for competitive positions and the expansion of the range of opportunities for promotion of educational services by universities in the context of changes in economic coordination caused by the development of digital technologies and network structure justify the potential of the studies of the proposed subject. Universities actively use the marketing technologies when forming the educational brands contributing to the promotion in the national and international ratings giving the advantages in the competition for the staff, finance and other resources, in the attraction of the most talented and promising applicants for admission. The paper deals with the study of the key categories of educational marketing and decomposition of the concepts. The results of branding activity of the universities allowed identifying and systematizing brand elements. University’s mission, its mandatory attribute - logo, is the conceptual basis of its brand. However, universities pay inadequate attention to branding policy, branding strategy, and the formation of corporate culture. Within this study, the authors carried out the terminological analysis of the concepts of a brand, a brand of educational organization, an educational brand, generalized the author’s approaches, identified the commonality in the proposed definitions, and defined the main components of an educational brand. The authors determined the elements ensuring the formation of a successful brand of an educational organization and the criteria important for the university brand promotion. The leading Russian higher education institutions were selected as the objects of the analysis. The authors carried out the comparative analysis of the formation and application of an educational brand by the leaders of the national rating of universities. As a result of the study, the authors identified the advanced branding tools and made the conclusions about the directions of formation of branding strategy.
Using Figshare: a quick demonstration for the ilifu user group

Figshare demonstration presented at the ilifu RDM Users’ Engagement Workshop, hosted by the ilifu Research Data Management and Open Science Working Group at CPUT Bellville Library Conference Centre on 29 March, 2019. The purpose of the workshop was to engage with users of the ilifu infrastructure to identify if current research practices aligns with the newly developed ilifu Research Data Management policy. Furthermore, the workshop aimed to:1. Give researchers the opportunity to raise any issues on Research Data Management and Open Science to further improve the policy.2. Have focus group discussions with other researchers in your field on research data management requirements.3. Hold a demonstration on how to deposit and share data on the ilifu data sharing repository (Figshare).4. Engage on how best to implement the RDM policies and guidelines. Presentation overview:1. DMP | Resourcing and planning for data publishing2. 5-star Open data | FAIR data3. How to upload and publish data on Figshare4. Data availability statement | doi5. Groups in Figshare6. Tiered instances of Figshare7. DLS resources on RDM at UCT Slack workspaceDigital Library Services (DLS) at University of Cape Town (UCT) Libraries provides research data management (RDM) support through presentations, online platforms and resources, workshops and small group consultation sessions.UCT students and researchers looking for RDM support can contact DLS at: dls@uct.ac.za.
LESSON OF KNOWLEDGE SYSTEMATIZATION AS A REFLECTION OF A SYSTEM-ACTIVITY APPROACH IN TEACHING

The article discusses the implementation of a system-activity approach in informatics lessons. An example of a knowledge systematization lesson is given. In the description of the lesson-game, the activity and content goals of the lesson are traced; each task is analyzed from the point of view of the subject content, the formation of metasubject results of mastering the basic educational program of basic general education.
Bodily Human Robot Interaction

This workshop is dedicated to discuss and explore the specific interdisciplinary aspects of Bodily human robot interaction, and establish a common ground for this area as a recognized and continued research topic. Bodily interaction with robots and robotic devices is partially established in niche applications such as exoskeletons, assistive devices and advanced machines for physical training where bodily interaction is the application. Bodily interaction is expected to develop a broader role in human robot interaction, for instance in manufacturing and in social and entertainment robotics. The direct exchange of force and motion in bodily interaction create a range of engineering challenges, but also entwine engineering directly with topics that traditionally reside in the realm of health and humanistic science, from biomechanics to human's social responses to the prompting and responses of physical interaction.
PENERAPAN MODEL PEMBELAJARAN NUMBERED HEADS TOGETHER (NHT) MENGGUNAKAN MIND MAPPING TERHADAP PEMAHAMAN KONSEP MATEMATIS SISWA KELAS VII SMPN 1 TALAMAU KABUPATEN PASAMAN BARAT

This research is based on the fact that the understanding of mathematical concepts of the seventh grade students of SMPN 1 Talamau is lacking. It is disebapkan by the process of learning mathematics that occurred has not involved students optimally in understanding the mathematical concepts. Efforts that can be done is to apply the model of learning Numbered Heads Together (NHT) by using Mind Mapping. The purpose of this study is to find out whether the understanding of mathematical concepts of grade VII students of SMPN 1 Talamau using the model of learning Numbered Heads Together (NHT) using Mind Mapping is better than understanding the mathematical concepts of students using conventional learning. This type of research is quasi-experimental research. Sampling is done using Random Sampling technique so that the selected as experimental class is VIIc class student and as control class is student of class VIIa. Data analysis is done by using t test with level α = 0,05 obtained titung = 1,74> ttabel = 1,671 mean hypothesis accepted. So it can be concluded that the understanding of students' mathematical concept using the model of learning Numbered Heads Together (NHT) using Mind Mapping is better than the understanding of mathematical concepts of students using conventional learning model.
Feature-Based Tracking via SURF Detector and BRISK Descriptor.

Marker-less tracking has become vital for a variety of vision-based tasks because it tracks some natural regions of the object rather than using fiducial markers. In marker-less feature-based tracking salient regions in the images are identified by the detector and information about these regions are extracted and stored by the descriptor for matching. Speeded-Up Robust Feature (SURF) is considered as the most robust detector and descriptor so far. SURF detects the feature points that are unique and repeatable. It uses integral images which provide a base for the low computational expense. However, descriptors generation and matching for SURF is a time-consuming task. Binary Robust Invariant Scalable Key-points (BRISK) is a scale and rotation invariant binary descriptor. It reduces the computational cost due to its binary nature. This paper presents a marker-less tracking system that tracks natural features of the object in real-time and is very economical in terms of computation. The proposed system is based on SURF detector, as it identifies highly repeatable interest points in the object and BRISK descriptor, due to its low computational cost and invariance to scale and rotation which is vital for every visual tracking system.
Experimental Research on Remote Preparation of Qubit States Based on GHZ Channel

We obtain the results in three-qubit quantum teleportation system tested on IBM quantum computer prototypes based on GHZ channel. Then we discuss the noise impacts on remote state preparation by analyzing the fidelity of add-noise-GHZ channel.
Spinor atoms in an optical nanocavity: generation of N-photon pulses and spin-entangled states

We propose a single spin-F atom in a nanocavity as a source of superradiant (2F)-photon pulses. Using the same scheme, photon counting on the cavity output can conditionally prepare spin-entangled states of multiple spin-F atoms.
Quantum communication advantage with coherent states and one beam splitter

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text F. Centrone, N. Kumar, E. Diamanti, and I. Kerenidis, "Quantum communication advantage with coherent states and one beam splitter," in Quantum Information and Measurement (QIM) V: Quantum Technologies, OSA Technical Digest (Optica Publishing Group, 2019), paper F5A.40. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Non-vocalised Arabic word classifications based on mining affixes features

Arabic word classification is a challenging problem owing to the cursive nature of the language and modulation marks. The existing approaches are based on databases and dictionaries to classify Arabic words, which makes classification process operation slow. Therefore, this paper investigates Arabic word classification in the non-vocalised Arabic text by solely using affixes features and explores the extent to which we can rely on these features to determine Arabic word class without the need for dictionaries or word lists. The proposed approach is mainly based on affixes features and Support Vector Machine (SVM). A Fisher encoding is also applied to remove any redundancy and to preserve important information. Our approach is tested on a data set of two main classes (noun and verb) and different six noun sub-classes. The results indicate that this approach is helpful in achieving a success rate approaching 64% of the total words in the articles used in this study. The unsuccessful classification rate appears because there are no affixes in the target Arabic word or some original characters are considered as affixes.
Orders and Euler’s Theorem

This chapter concludes the theory needed to describe the cryptography in Chap. 9 . The key concept is that of the order of a unit b modulo m, and Euler’s Theorem, which places a constraint on the possible values of the order of b. When m is prime, Euler’s Theorem is the same as Fermat’s Theorem, which is given a proof using the Binomial Theorem. The final section describes an efficient algorithm for computing a high power of a number modulo m. This algorithm will have both an obvious use in using the cryptosystems presented in Chaps. 9 and 13 and a less obvious use to help construct cryptosystems in the last section of Chap. 9 .
AFFECTIVE COMPONENT OF A UNIVERSITY STUDENT’S PROFESSIONAL CONSCIOUSNESS IN THE CONTEMPORARY MEDIA ENVIRONMENT

AFFECTIVE COMPONENT OF A UNIVERSITY STUDENT’S PROFESSIONAL CONSCIOUSNESS IN THE CONTEMPORARY MEDIA ENVIRONMENT
An Introduction to Reed–Solomon Codes

Reed-Solomon codes were the first widely used codes that can correct multiple errors in transmitted information words. They remain useful in many contexts because they can correct bursts of errors to adjacent bits. They do this by turning words made up of bits into sequences of elements of a finite field with q elements where q is large, and working in that finite field. By contrast, Hamming codes work directly with individual bits and are defined over the field of 2 elements. This chapter introduces coding and decoding in a Reed-Solomon code, using Reed and Solomon’s original encoding procedure and the Welch-Berlekamp decoding procedure. The latter reduces to finding solutions of a system of n linear equations in $$n + 1$$ unknowns. The theoretical discussion of why decoding works relies on D’Alembert’s Theorem from Chap. 6 , and the decoding method requires some elementary knowledge of matrices and solving systems of linear equations, not all of which is found in Sect. 7.1 .
Improving privacy preserving in modern applications

The thesis studies the privacy problems in various modern applications, such as recommendation system, Internet of Things, location-based service and crowdsourcing system. The corresponding solutions are proposed, and the proposed solutions not only protect the data privacy with guaranteed privacy level, but also enhancing the data utility.
Rethink Your Continuing Education Strategy

The Membership Management ReportVolume 15, Issue 5 p. 1-1 Member Education, Professional Development Rethink Your Continuing Education Strategy Megan Venzin, Megan VenzinSearch for more papers by this author Megan Venzin, Megan VenzinSearch for more papers by this author First published: 10 April 2019 https://doi.org/10.1002/mmr.31190Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume15, Issue5May 2019Pages 1-1 RelatedInformation
Summary of Automatic Articles With the TF-IDF Algorithm For Special Health Information Elderly

Elderly is someone whose age ranges from 60-74 years, at that age one's health tends to decline. Various programs have been provided by the Indonesian government, such as providing information, giving brochures, and giving announcements on the health service website. But this counseling is not optimal because of the elderly, tend to be lazy to read this because the eyes have started to farsight. So that the health information provided by dina health can be optimal we try to make a model that is used to summarize an article so that the article is easily understood by the elderly. To summarize the article, this study uses the TF-IDF algorithm. By using the TF-IDF algorithm it is expected that the elderly will be easier to understand health articles.
PRACTICAL EDUCATION AS THE KEY FOR DIGITAL NATIVES

1 Ural State Law University, Ural Federal University (RUSSIAN FEDERATION)2 Ural Federal University (RUSSIAN FEDERATION)