Reviewerly/exHarmony huggingface dataset:
Scalable Robust Spectral Ensemble Clustering

Many ensemble clustering algorithms usually can work well on small-scale datasets, but the same expected results can not be achieved on large-scale datasets as well as time-consuming. Therefore, it is very important to implement an efficient clustering ensemble algorithm with high scalability to deal with these specific datasets. In this paper, we propose a scalable clustering approach based on the framework of the robust spectral ensemble clustering (RSEC), named as SRSEC to cluster the datasets of different sizes. A robust and denoising representation for the co-association matrix not only can be learned through a low-rank constraint in a unified optimization framework, but also a subspace selection on the co-association matrix can be constructed to do the robust spectral ensemble clustering. Experimental results show that our method has better clustering results in five real-world databases, especially in the large size of the databases.
The Quantitative Machinery Decision-Making Strategy Model Based on Neural Network

Abstract High-frequency data and quantitative models are the hot issues in the machinery field. In order to build a quantitative strategy with steady returns and relatively low risks based on high frequency data, this paper establishes a quantitative machinery selection strategy based on difference flow and a time-selection strategy based on neural network. Through our research on China’s machinery market, we find that when using fund flow intensity as an indicator, the market yield of the portfolio with large capital flow is relatively high. After selecting some companies with potential upside, we used a neural network algorithm to predict the value between both sides. Using these technical indicators and historical information, we use neural networks to predict the next day’s closing value. Finally, we simulated the decision with Matlab, and analyzed the profitability and risk factors of our strategy in different periods of the machinery market, and drew the final conclusion.
Heuristic Algorithm for Generalized Function Matching

The problem of generalized function matching can be defined as follows: given a pattern p = p1 ⋯ pm and a text t = t1 ⋯ tn, find a mapping f : ∑p→∑t⁎; and all text locations i such that f(p1)f(p2) ⋯ f(pm)=ti ⋯ tj, a substring of t. By modifying the restrictions of the matching function f, one can obtain different matching problems, many of which have important applications. When f : ∑p → ∑t we are faced with problems found in the well-established field of combinatorial pattern matching. If the single character constraint is lifted and f : ∑p→∑t⁎ we obtain generalized function matching as introduced by Amir and Nor (JDA 2007). If we further constrain f to be injective, then we arrive at generalized parametrized matching as defined by Clifford etal. (SPIRE 2009). There are a number of important applications for pattern matching in computational biology, text editors and data compression, to name a few. Therefore, many efficient algorithms have been developed for a wide variety of specific problems including finding tandem repeats in DNA sequences, optimizing embedded systems by reusing code etc. In this work we present a heuristic algorithm illustrating a practical approach to tackling a variant of generalized function matching where f : ∑p → ∑t+ and demonstrate its performance on human-produced text as well as random strings.
Joëlla Proust and Martin Fortier, &lt;i&gt;Metacognitive Diversity: An Interdisciplinary Approach&lt;/i&gt;

Joëlla Proust and Martin Fortier, Metacognitive Diversity: An Interdisciplinary Approach (Oxford: Oxford University Press, 2018), 464 pp. £60.00 (hbk). ISBN: 978-0-19878-971-0.
Effectiveness of Learning Model Concept Sentence With Media Puzzle of Activities and Description of Learning Outcomes Writing Skills Class III SD District of Kudus

This study aimed to analyze the effectiveness of the application of learning models Puzzle Concept Sentence media on the activities and results of the third grade students in learning Indonesian Writing materials Description.The research is a quasiexperimental study with a control group design nonequalivalent form.The population of this research was grade III primary school curriculum of 2013 more than 2 years in Kudus regency 2019/2020 school year as many as 11 elementary schools in the District Dawe.Selection of sampling in this research istechniques purposive sampling, Data collection through testing.The method uses the data analasisgains scores and ttest.Results of the analysis showed that n-gain media Puzzle Concept Sentence with the experimental class showed 0.63 and N-gain the control class 0,52 so that both are included in the medium category.The results showed that the effectiveness of the model with the media Puzzle Concept Sentence t-test is based is known that tcount7.405greaterthan the value ttabel 2.0030.Conclusions This study is the Concept Learning model Sentence with Puzzle media more effectively used in the activities and learning outcomes Indonesian Writing materials Description of third grade students of elementary Holy District of the conventional learning models.
Upaya Meningkatkan Pengenalan Geometri dengan Permainan Puzzle Bervariasi pada Kelompok B TK Muslimat Tahun Ajaran 2016/2017

Based on the data from the initial conditions before the classroom action research was obtained, it was obtained information that the percentage of learning completeness 53% had not reached the indicator. Thus, a study was conducted at Muslimat Kindergarten in Group B Academic Year 2016 / 2017. This study showed a significant increase in the introduction of geometry child group B TK Muslimat. This can be seen from the first cycle on the percentage of completeness 62% with an average observation (student activity) 68% (sufficient) and finally on cyclical II on the percentage of completeness 80% with an average observation (student activity) 82% ( well). Based on these data it can be concluded that varied puzzle games can improve geometry recognition in group B of the first semester in Muslimat Kindergarten in the 2016/2017 Academic Year. Suggestions that researchers can convey should be in the process of introducing geometry, teachers must create learning that is active, innovative, creative, effective, and fun. One of them through varied puzzle games, so that the goal of increasing geometry recognition can be achieved.
High dynamic range and fast 3D measurement based on a telecentric stereo-microscopic system

In fringe projection profilometry, using denser fringes can improve the measurement accuracy. In real-time measurement situations, the number of the fringe pattern is limited to reduce motion-induced errors, which, however, poses more difficulties for the absolute phase recovery from dense fringes. In this paper, we propose a stereo phase matching method that takes advantage of the high-accuracy of denser fringes and the high-efficiency of using only two different frequencies of fringes. The phase map is divided into several sub-areas and in each sub-area, the phase is unwrapped independently. The correct matched pixel is easily selected from the distributed candidates in different sub-area with the help of geometry constraints.
The Role of War Game in Educating and Training the Commanders

The war game is considered to be the most effective means of military training due to the fact that it simulates the reality since it provides a semi-real picture of the weapons and equipment used in the training. Consequently, it provides the trainee with the appropriate environment to freely deal with such weapons as well as military equipment which in turn help the trainee become acquainted with all aspects of use and significantly instill confidence in him when such equipment are actually needed in war. More importantly, war game provides environment similar to what is going on in the actual battlefields allowing the commanders to exercise the training as if they were in a real war. Based on this perspective, the war game has emerged as an advanced training means which provides an analogy of the battle atmosphere to a great extent and gives commanders the opportunity to make decisions. It also helps in providing the commanders with a future view which enables them to plan their future and to deal with any challenges they might encounter. In fact, the role of war play is not only limited to training, but also extends to the aspects of military education, preparation, and development. The notion of war game is not only a means for the commander to have knowledge about the war before it occurs so as to be able to realize whether the decisions taken are right or wrong, but also it has become an effective means on which the armies depend when they train and polish the commanders' capabilities as well as skills. In fact, the concept of war play is not exclusive to the military field but also it is employed by all agencies and departments that require a future vision in training or planning. This paper sheds some light on the notion of war game and its role in training and educating the commanders and staff.
Artificial Intelligence (AI) based ECN adaptive reconfiguration for datacenter networks

This document is to provide an artificial intelligence (AI) based ECNadaptive reconfiguration for datacenter networks.
HT '19: Proceedings of the 30th ACM Conference on Hypertext and Social Media, Hof, Germany — September 17 - 20, 2019

HT '19: Proceedings of the 30th ACM Conference on Hypertext and Social Media, Hof, Germany — September 17 - 20, 2019
Fast panoramic 3D shape measurement using the multi-view system with plane mirrors

In this paper, we propose a fast panoramic 3D shape measurement technique based on the multi-view system with plane mirrors. Fringe projection profilometry (FPP), as an active 3D measurement technique based on structured light and triangulation, has been one of the most promising methods for measuring dynamic scenes, due to its inherent property of non-contact, full-field, high-precision, and high efficiency. However, for acquiring the 360-degree 3D information of the tested object with complex surfaces, multiple measurements from different perspectives and the complicated registration algorithms need to be implemented, which are time-consuming and low efficiency that limits the potential application of FPP. To solve this problem, by introducing plane mirrors into the traditional FPP system, we develop a mirror-assisted panoramic measurement system, which can capture deformed fringe images of the measured object from three different perspectives simultaneously including a real camera and two virtual cameras realized by plane mirrors. In addition, a robust calibration method is proposed to easily calibrate the mirror, which can be used to convert 3D data obtained from real and virtual perspectives into a common world coordinate system. Then, for low-modulation fringe regions, they are further corrected based on the proposed phase compensation technique. Finally, these proposed techniques constitute a complete computational framework that allows achieving a fast, high-accuracy, and panoramic 3D reconstruction results with high completeness.
Confidence-based dynamic optimization model for biomedical image mosaicking

Biomedical image mosaicking is a trending topic. It consists of computing a single large image from multiple observations and becomes a challenging task when said observations barely overlap or are subject to illumination changes, poor resolution, blur, or either highly textured or predominantly homogeneous content. Because such challenges are common in biomedical images, classical keypoint/feature-based methods perform poorly. In this paper, we propose a new framework based on pairwise template matching coupled with a constrained, confidence-driven global optimization strategy to solve the issue of microscopic biomedical image mosaicking. First we provide experimental results that show significant improvement on a subjective level. Then we describe a new validation strategy for objective assessment, which shows improvement as well.
DYNAMICS OF THE CREATIVE INTERPRETATION IN EARLY CHILDHOOD COMMUNICATION WITH ART IN A MUSEUM ENVIRONMENT

Introduction: The research paper tracks the changes in the regular development of the way children perceive visual arts. It views the dynamics of the creative interpretation of children at the pre-school age when directly communicating with pieces of art in a museum environment. An important stage of this study is related to the role of the informal gallery environment, which suggests an intense visual stimulation and reinforces children’s desire to actively take part in it. This imposes the application of specific integrated pedagogical approaches and methods, close to museum pedagogy and visual arts education.&#x0D; Purpose of the study: The research aims at tracing some of the main processes pertaining to the dynamics of the visual reaction of children of 6 to 7 years of age when directly communicating with visual arts and their level of creative interpretation in the process of drawing afterwards.&#x0D; Methods: For achieving the aims of the research we used some interdisciplinary methods. In the theoretical part we present some of the fundamental works on the subject. We emphasize the methods that integrate the history of art and pedagogy, which include: the description of the paintings with elements of formalism is the study of art and analysis of the visual reaction when communicating with pieces of art. This description should be adapted to the age of the children and some empirical and proximity pedagogical methods for evaluating the achieved results.&#x0D; Findings and results: In the first part of the research the accent is put on the different levels of reaction children have at the age of 6-7, regarding the recognition of separate compositional elements, objects, colours, forms, seasons, hours of the day, finding out emotional conditions and other important elements of composition sings in the observed pieces of art.&#x0D; In the second part we show the results and we systematize and analyze children’s free creative modulations. They concern different aspects of the visual stimulation and the following creative interpretation through the art activity of children at the age of 6-7. We observed the correlation between the drawings of the children and the perceived pieces of art, as a consequence of the stimulation of their visual perceptions and views. We analyzed the influence of a museum environment on children’s graphic, colourful and emotional expression through drawing.&#x0D; Conclusiоn: The summary and conclusion of the research provide the basis for development and optimization the methodological-pedagogical system of working with children in a formal and informal environment.
Students’ Perception of Listening Lesson at University of Riau

Listening is a skill in capturing the sounds of language by listening verbal language that receiving messages from other people's ideas, thoughts or feelings. This study aims to describe students' perceptions of the listening lesson in the learning process. The method used is a quantitative survey method with a total sample of 50 students of Indonesian language and literature education FKIP University of Riau who join the listening lesson. This study uses a questionnaire technique that is distributed to students of the Indonesian Language and Literature Education Program at the University of Riau. Questionnaires consist of 17 statements made in the form of a checklist with a range of assessments from 1 to 5. Technical data analysis through stages (a) changes the value of the category into an assessment score and (b) analyzes the score, (c) determines the category. The results showed that the response of the students based on the highest experience was the desire to obtain complete teaching material by 70%, the highest response of students to importance of media as if there were applications in listening lesson in accordance with current technology with a percentage of 80%, and The highest student responses about the need for evaluation of listening lesson was the feedback of listening proficiency criteria set by the lecturer at 68%. Then it can be concluded that students' perceptions of the listening lesson are the desire for improvement in the media and applications in the listening lesson that contains teaching the material
Multi-camera architecture for perception strategies

Building the 3D model of an object is a complex problem that involves aspects such as modeling, control, perception or planning. Performing this task requires a set of different views to cover the entire surface of the object. Since a single camera takes too long to travel through all these positions, we consider a multi-camera scenario. Due to the camera constraints such as the limited field of view or self occlusions, it is essential to use an effective configuration strategy to select the appropriate views that provide more information of the model. In this paper, we develop a multi-camera architecture built on the Robot Operating System. The advantages of the proposed architecture are illustrated with a formation-based algorithm to compute the view that satisfies these constraints for each robot of the formation to obtain the volumetric reconstruction of the target object.
Sentiment Detection from Speech Recognition Output

Sentiment detection from text has been one of the first text analysis applications.Recently it made serious progress with using deep learning algorithms.Practical use of the sentiment detection includes applications for monitoring the quality of customer service.In this article we perform a review of established and novel features for text analysis, combine them with the latest deep learning algorithms, and evaluate the proposed models.The issues we address are robustness to the low speech recognition rate, the variable length of the text queries, and the case of imbalanced data sets.We use a large labelled dataset from real support calls, and propose new optimality criterion, which is a combination of weighted and unweighted accuracy.
DisOpenFaaS: A Distributed Function-as-a-Service Platform

The widespread adoption of cloud computing leads to a constant development of more efficient ways to manage the resources used by it. One of the most recent steps is called Function-as-a-Service (FaaS), a cloud computing service model where developers can focus on developing functions, without worrying with the underlying resources. We propose an architecture for deploying FaaS platforms in hybrid clouds that can be composed by multiple cloud providers. The architecture enables privately deployed FaaS platforms to perform auto-scaling of virtual machines in a distributed infrastructure and routes requests to servers geographically located closest to the clients, considering a scenario where the users of such platform are scattered around the globe.
Affording cross‐cultural access to visualized cultural collections: A preliminary case study of e‐dunhuang

ABSTRACT E‐Dunhuang is a visual material centered digital library of a UNESCO world heritage. This study aims to identify how users in different cultural backgrounds seek and use cultural heritage information on e‐Dunhuang, as well as their perceptions and opinions toward that. As a preliminary report, this poster focuses on the visual content (i.e. images, panorama) of e‐Dunhuang, which is arguably the most prominent component in this platform. Results of usability tests and follow‐up interviews reveal that users had polarized opinions. The findings can inform cross‐cultural access to cultural heritage collections dominant with visual content.
A Survey: Plane Detection Algorithms of Rock Mass based on Hough Transform

In order to detect the planes and reconstruct the watertight 3D models of rock mass, the characteristics and applicability of different well-known Hough methods are analyzed and summarized through the classification and comparison of the plane-detection methods based on Hough Transform. On this basis, four kinds of typical methods are tested in both simulated icosahedron point cloud and actual rock mass point cloud. Experimental results show that the optimized plane-detection methods based on Hough Transform can be applied to detect rock planes with some post-processing operations. In the end, the development trends are examined.
Balanceamento de Tráfego entre Servidores de Vídeo MPEG-DASH em Redes Definidas por Software

With popularization of video streaming service in recent years, new video distribution technologies have been created. Currently, one of the most promising ones is the Moving Picture Expert Group Dynamic Adaptive Streaming over HTTP or MPEG-DASH. However, with the limitation of the TCP/IP network structure, the end user quality of experience may be affected. This is due to several factors such as network congestion, bandwidth limitation, non-optimal choice of a content provider server and server overload. This article presents a load-balancing solution between MPEG-DASH video servers based on Software Defined Networks, using as a balancing metric the throughput of the content server.
Framework to Interpret Deep Learning-Based Health Management System with Human Interactions

Deep learning has shown good performance in detecting a product’s faults and estimating the remaining useful life of a product. However, it is hard to interpret deep learning-based health management systems because deep learning is often regarded as a black box. In order to make a maintenance decision based on the result of the management system, humans need to know how it gave the outcome. This study aims to develop a framework that utilizes human interactions during system development to understand the internal process of deep learning. The study will demonstrate the framework on bearing datasets.
Impact of Financing Sources on Innovation and Firm Productivity: Evidence from South Asia

In today's technological world innovation becomes a necessary component of virtually all businesses operating locally or internationally.Firms are increasingly moving towards innovations to capitalize on unique features of their production.Firms invest heavily in sustaining their competitive advantage through innovation in a long run.Innovation is a prevailing phenomenon whether it is a developed country or developing one.However, developing countries focus more on imitation than innovation.According to (Levin et al., 1987) imitation costs about 65-70% of actual innovation cost.Innovation is a complex phenomenon owing to involvement of many players in this process, ranging from intellectual capital of the innovative firm to its financial resources.Firms that are involved in innovation are facing many constraints.Lack of government support, less developed financial and capital markets increase the innovation costs for the firms (Gorodnichenko & Schnitzer, 2010).Financing of innovation is a big challenge for the firms.This challenge, however, is more difficult to address properly for the firms operating in developing countries because of their poor financial structure. LITERATURE REVIEW Innovation and Financing SourcesA research study conducted by(Planes, Bardos, Sevestre, & Avouyi-Dovi, 2001)compared the innovative and non-innovative firms by using the survey of Information and communication technologies conducted by SESSI for manufacturing industries and INSEE surveys for service sector.By taking the financial information and analysis of balance sheets, they observed a higher proportion of equity financing in the balance sheets of innovative firms as compared to non-innovative firms.Innovative firms without financial constraints show a strong financial structure in their balance sheet, and they have access to credit at lower rates (Planes et al., 2001).(Hall & Lerner, 2009) reported that the innovative firms experience high cost of capital which is partly mitigated by venture capital. Firm Performance and Financing Sources(Osei-Assibey, 2010) conducted a research study on 5057 firms of Ghana in order to investigate the impact of nature and source of finance on the productivity of firms.By using the fifth round of Ghana