Reviewerly/exHarmony huggingface dataset:
Evolution of Optimal MLFFNN Design: A Novel VLC-GA Approach

Recent advancements in neural networks demonstrate that various tasks viz. classification/regression, computer vision and object tracking are performed very accurately using Multilayer Feed Forward Neural Networks (MLFFNN), Convolutional Neural Networks (CNN) and variants of Recurrent Neural Networks (RNN). Presently, the Neural Network architectures (NNA) are designed by human expertise and trial and error fashion. Therefore, NNA design is both manual and time consuming process. The problem of finding optimal neural network design (number of hidden layers and number neurons in each hidden layer) is a challenging and less explored problem. Genetic Algorithms (GA) solves optimization problems based on natural evolution and selection. Simple GAs use fixed length chromosomes for representing problem variable domain and does not change subsequently. Therefore, SGAs are not suitable for solving optimization problems having too many and dynamically changing decision variables viz. structural topology and path optimizations. Variable length chromosomes (VLC) are applied for solving graph based problems wherein the problem variable domain space is known apriori. But, in case of optimal neural network design, problem variable domain is not known apriori. Therefore, we propose a Novel VLC-GA approach for Evolving Optimal Neural Network Architecture Design (ONNAD) of MLFFNNs. In this approach, each NNA is represented using a VLC consisting of hidden layer number and number of neurons in a layer. Designing optimal architecture is a two-stage process. Stage1, Evolves the network architecture from population of Individual architectures by natural selection and genetics using VLC-GA. The generated NNAs are trained using back propagation algorithm. The sub-optimal architecture of stage1 is used to generate initial population for stage2. Stage 2, adaptively refine the domain space and increase in chromosome length based on average fitness to achieve fine level accuracy for the defined task. We also compared the performance accuracy (PA) and convergence Rate (CR) of our method with existing empirically. In future, we apply this approach for learning CNN design automatically.
Enhancing Embedding Capacity of JPEG Images in Smartphones by Selection of Suitable Cover Image

Popularity and dependency of smartphones in a day to day lives originated the demand to invent the methods to secure the private and business data stored in them. Image steganography is one of the methods adopted to enhance their security by hiding the sensitive information behind the image. It is applied in a manner that there are no visible visual or statistical changes in the cover image. Undetectability and robustness are the major requirements of any image steganography algorithm. Another parameter that plays an important role is embedding capacity-the amount of data that can be hidden in the image. The most common image format in smartphones is jpeg. Jpeg images undergo lossy compression and as a result, their size is small as compared to other image formats undergoing lossless compression. It is a challenge to hide high message payload in jpeg images. This research paper focuses on finding out various methods to increase the embedding capacity of jpeg images. It firstly probes and compares compression algorithms and tries to find out how they can help in increasing the amount of data that can be hidden inside the image. Secondly, it discusses the various statistical parameters which can be exploited in order to select suitable cover image before applying image steganography. Thirdly, it proposes a new algorithm which calculates payload capacity of an image which helps in selection of a suitable cover image. It uses MSE, PSNR and SSIM image quality metrics to validate the algorithm.
Theory of evolutionary computation – Special Issue Editorial

In the Maximum-Duo Preservation String Mapping (Max-Duo PSM) problem, the input consists of two related strings A and B of length n and a nonnegative integer k. The objective is to determine whether there exists a mapping m from the set of positions of A to the set of positions of B that maps only to positions with the same character and preserves at least k duos, which are pairs of adjacent positions. We develop a randomized algorithm that solves Max-Duo PSM in 4k⋅nO(1) time, and a deterministic algorithm that solves this problem in 6.855k⋅nO(1) time. The previous best known (deterministic) algorithm for this problem has (8e)2k+o(k)⋅nO(1) running time [Beretta et al. (2016) [1], [2]]. We also show that Max-Duo PSM admits a problem kernel of size O(k3), improving upon the previous best known problem kernel of size O(k6).
Kauli, Jackie. Mobail Goroka. 17 mins, colour. Digital download. Goroka: Centre for Social and Creative Media, 2018. Free

Journal of the Royal Anthropological InstituteVolume 26, Issue 2 p. 440-441 Book and film reviews Kauli, , , Jackie. Mobail Goroka. 17 mins, colour. Digital download. Goroka: Centre for Social and Creative Media, 2018. Free David Lipset, University of MinnesotaSearch for more papers by this author David Lipset, University of MinnesotaSearch for more papers by this author First published: 18 May 2020 https://doi.org/10.1111/1467-9655.13264Read 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 onEmailFacebookTwitterLinked InRedditWechat Volume26, Issue2June 2020Pages 440-441 RelatedInformation
The actual conditions of old story picture book publications and suggestions for its future

본고는 우리 옛이야기가 그림책으로 어떻게 실천되고 있는지 그 실상을 확인하고, 옛이야기 그림책의 올바른 방향성을 제시하고자 하였다. 우리나라 유아동 옛이야기 그림책의 일반적인 형편을 확인할 수 있는 단행본 시리즈와 전집류 45종을 분석대상으로 삼았다. 이를 통해 옛이야기 그림책 출판시장에서는 단행본보다 전집이 주도하고 있음을 확인하고, 지금까지 학계에서 개별 단행본 중심으로 학문적 논의가 진행되어온 한계를 지적하였다. 옛이야기 그림책 선집의 문제로는 학습성을 전면적으로 내세우는 점을 제기하였다. 또한 출판사별 목록의 개성화가 이루어지지 않는 현재를 짚었다. 옛이야기 그림책의 미래에 대해서는 지금까지의 학습 지향적 모습을 탈피할 것을 주문하였다. 그리고 옛이야기의 정전 구성 작업에 학계가 적극 참여할 것을 요구하였다. 옛이야기 그림책 출판의 전반적 흐름과 쟁점에 대해 거시적인 시각으로 들여다보고, 미래의 옛이야기 그림책이 나아가야 할 방향을 제시하였다는 점에서 이 연구의 의미를 둔다.This paper describes how our old story is manifested as a picture book and attempts to suggest a suitable direction for old story picture books. As a series of old story picture books that can confirm the general condition of Korea’s old story picture book, 45 anthologies were analyzed. This study has led to confirm that ‘the complete works’ are leading the old story picture book’s publication. Therefore, it was confirmed that the discussion of academia centered on ‘one volume’ has its limit of not reflecting the reality. The problem with the anthology of the old story picture books is that it contains too much educational information related to the work, and the list of works overlaps quite a lot with that of other companies. This study suggests that the future of old story picture books should be deviated from the excessive educational orientation, and that the academic community should actively participate in the composition of the canon of the old story. This study is meaningful in that it examines the overall flow and issues of the publication of old story picture books from a macro perspective and suggests the direction for future old story picture books.
LibGuides: Global Languages Digital Library: Tech Instructional Coach Tips

E books, audiobooks, magazines, and database resources that are perfect for learning Mandarin, French, or Spanish
Secure Framework for File Storage in Fog Computing Utilizing Double Server Encryption and Unscrambling Techniques

Searchable encryption is of expanding energy for ensuring the preferred position shield in agreeable accessible appropriated stockpiling. Over the span of this work, we are probably going to think about the protect of an exceptional cryptologic rough, to be interesting Public Key Encryption with Watchword Search (PEKS) that is appallingly helpful in excess of a couple utilizes of assigned stockpiling. Unfortunately, it's been incontestable that the ordinary PEKS structure encounters a trademark vulnerability alluded to as inside watchword Guessing assault (KGA) impelled through the dangerous server. To control this security shaky area, we are probably going to propose one more PEKS constitution named twin-Server Public Key Encryption with key expression Search (DS-PEKS). Up 'til now another since quite a while ago settled commitment, To portray the probability of our new procedure, we are probably going to supplies an educated scholarly outline regarding the all out structure from a DDH-established LH-SPHF and show that it's going to achieve the steady insurance towards inside KGA.
African Economies and Their Challenges

Population numbers throughout most of Africa will continue to increase severely in most parts of Africa for the next thirty years. Unless women in sub-Saharan Africa suddenly cease having more than two and sometimes as many as seven children, the gross labor force, unskilled and skilled, in almost every country will continue to grow despite existing, alarming, formal unemployment rates of 40% or more. To meet the minimum income needs of their citizens, to create a more robust consumer society, to grow the tax base on which governments fund their provisions of services and welfare, and to attract more and more external investment, sub-Saharan nation-states hence need to create jobs—the smarter, the more enduring, and the more capable of contributing a beneficial multiplying boost the better. New jobs are the key to sub-Saharan Africa’s future—to its increased prosperity, to its fuller integration into world trading systems, and to winning its several internal battles against fundamentalist insurgents and other supposed revolutionaries.
Corpus-Based Approach to Figurative Language in Science Lectures

이 연구의 목적은 중학생 대상 과학 교육 방송을 말뭉치로 구축하고 분석하여, 과학 담화에 나타난 비유 사용 양상을 살피는 것이다. 1980년대 이후 인지언어학자들은 은유의 편재성에 주목하고 비유가 사고와 개념화의 중추적 장치임을 주장하였다. 이 연구는 이러한 인지언어학에 기반하여, 과학 담화라는 특정 장르에서 사용되는 비유를 양적, 질적으로 분석한 것이다. 첫째, 이 연구의 대상은 EBS에서 방송된 중학생 대상 과학 교육 방송으로 약 60차시(2,400분), 약 24만 어절 규모의 말뭉치이다. 물리, 화학, 생물, 지구과학, 통합의 다섯 가지로 분류하고, 비유 표현을 분석하였다. 둘째, 과학 담화 전체에서 비유가 사용된 빈도의 평균은 6.75%이다. 하위 분야별로 보면 물리 > 통합 > 화학 > 지구과학 > 생물의 순으로 비유가 많이 사용되었다. 물리 교과에서 비유 사용 빈도가 높은 것은 전류, 자기장 등에 대한 관습적 비유가 반복적으로 사용되었기 때문이며, 통합 부분에서는 풀러렌, 유전자 조합과 같은 새로운 과학적 사실을 쉽게 설명하기 위한 비유가 사용되기 때문이었다. 셋째, 과학 담화에 사용된 은유는 개념적 은유와 비유에 기반한 과학 용어의 두 가지로 나누어 살펴보았다. 과학 담화에는 개념적 은유 중에서 구조적 은유가 자주 쓰이며, 구어라는 특성상 일상 경험에 기반한 한 존재론적 은유가 적극적으로 활용된다는 특징이 있었다. 또한, 기능과 모양의 유사성에 기반한 비유적인 과학 용어도 자주 사용되었다. 이 연구는 실제 과학 교육 방송 말뭉치를 대상으로 과학 담화에서 사용되는 비유의 양적인 면과 질적인 면을 동시에 살펴보았다는 점에서 의의가 있다.The purpose of this study is to construct and analyze science education broadcasting for middle school students, and examine the use of figurative expressions in scientific discourse. Since the 1980s, cognitive linguists have paid attention to the ubiquity of metaphors and insisted that they are the backbone of thinking and conceptualization. Based on the achievements in cognitive linguistics, this study constructs a science education broadcast in corpus to quantitatively and qualitatively analyze metaphors used in a scientific discourse. First, the subject of this study was a science education broadcast on EBS for middle school students, which was for about 60 hours (2,400 minutes) and comprised 240,000 words. It was classified into five categories: physics, chemistry, biology, earth science, and integration. Second, the average frequency of metaphors used throughout the scientific discourse was found to be 6.75% by subfield, metaphors were used in the order of Physics> Integration> Chemistry> Earth Science> Biology. The overwhelming occurrence of metaphors in physics was due to the repeated use of conventional metaphors as well as the use of metaphors to easily explain new scientific facts. Third, metaphors used in the scientific discourse were divided into two categories: conceptual metaphors and science terms based on metaphors. Structural as well as ontological metaphors were often used in the scientific discourse. In addition, figurative scientific terms based on the similarity of function and shape were used often.
A Study on Lee Ho-Woo’s Literature and the Possibility of Literary Content

본고는 중앙문화와 지역문화의 간극을 좁히기 위한 한 방안으로, 문학을 활용한 문화콘텐츠 개발에 주목하고자 하였다. 문학 혹은 문인을 문화콘텐츠화 하고자 하는 시도는 그간 지속적으로 있어왔지만 인물 선정, 자료 발굴 및 아카이브, 개발 후 지속적 관리 등의 각 단계에서 철저하고 세밀한 검토 및 연구가 이루어지지 않아 개발 후 폐허로 사멸하는 콘텐츠가 생겨나고 있다는 점에 문제를 제기하고, 그 예로 대구·경북 지역의 현대시조 시인인 이호우를 제시한다. 이호우는 경북 청도군에서 출생하여 청년기에 대구로 이사한 후 1970년 타계할 때까지 대구 언론, 문학, 예술계에서 족적을 남긴 로컬 인물이다. 가람 이병기의 추천으로 등단한 후 현대시조의 형식과 정신을 계승하고자 노력했으며, 누이동생인 이영도 시인과 오누이 시조 시인으로 유명하다. 그의 생을 기리기 위해 청도군에서는 이호우·이영도 생가와 오누이 시조 공원을 조성하였지만 수년째 방치되어 잡초만 무성한 공간이 되었다. 본고에서는 이호우 시조시인의 문학적 위상과 로컬 인물로서의 위상을 제시한 후, 이호우 문학의 지역성을 검토해본다. 이후 문화 산업적 발전을 도모하기 위해서 대구와 이호우의 접점을 찾고, 그 접점을 바탕으로 문화콘텐츠로의 발전 가능성을 검토해보며, 대구 근대 문화콘텐츠들과의 연계, 청도군의 이호우 생가의 현대시조 전용 공간화를 제안한다.This paper intends to focus on the development of cultural content using literature as a means of bridging the gap between central and local culture. Although there have been continuous attempts to commercialize literature or literary culture, and suggests Lee Ho-Woo, a modern poet from Daegu and Gyeongbuk, content due to failure to perform a thorough review and research at each stage of character selection, data discovery and archiving, and continuous post-development management raises a question about Korea s emergence. Lee Ho-woo was born in Cheongdo-gun, Gyeongbuk. Having moved to Daegu in his youth, he made his mark on Daegu media and literature until his death in 1970. After joining Garam Lee Byung-ki, he endeavored to adopt the form and spirit of modern Sijo. His younger sister, Lee Young-do, became famous both as a poet and as a famous poet s sibling. In honor of Lee Ho-Woo s life, Cheongdo-gun commemorated his and Lee Young-do s birthplace as well as their siblings relationship in Sijo Park; but the park was left untended for many years, and it eventually became nothing more than a lush space. This paper will present Lee s literary and local Sijo poet character statuses and examine his locality. Furthermore, in order to promote the development of the cultural industry, we will identify the contact point between Daegu and Lee Ho-woo, examine the possibility of developing cultural contents based on that contact point, establish a link to Daegu s modern cultural content, and make space for suggestions for the first generation of Lee Ho-woo of Cheongdo-gun.
Grouping Users Through Pair Wise Sequence Alignment and Graph Traversal Based on Web Page Navigation Behaviour

The increasing number of online users endow with various opportunities for research in web mining. User grouping plays a major role in web personalization. Finding the similar user consortium gains more interest among the web researchers so that a customized and better environment users can be provided. This paper attempts on finding user consortiums based on their web page navigation pattern. The methodology first and foremost incorporates interpreting the input navigation sequence and then investigates the influence on graph traversal and the level of thresholding in user grouping. For each interpretation, a global pair-wise sequence alignment is carried out by considering the alignment between any two users web navigation sequences. Subsequently, based on the number of aligned and the unique number of pages between the users a similarity matrix is formulated. Then, based on the maximum value at each column and at each row as column thresholding and row thresholding similarity matrix is thresholded at different levels. After that, graph traversal is performed to identify the user groups. To assess the proposed methodology MSNBC dataset, a publicly available data is used. Jaccard similarity co-efficient is used to find the inter-group similarity. Then, the influence of thresholding and the threshold level was investigated. The results revealed that with the sorted input navigation sequence without redundancy the column thresholding at 0.75 level yielded the highest possible outcome in forming the user groups.
On the making and application of animations for medical teaching

This study explores the application of animation in medical teaching. On the one hand, the status quo of the application of animation in medical teaching was analyzed by conducting questionnaire survey for the effect of animation-enhanced teaching of the biology course; on the other hand, new animations were made by the researchers to analyze its effect on the students' self-study. The results showed that the scores of the students receiving text and teaching animation resources were significantly higher than that of students receiving only textual information in the learning process (P 75% of the learning content. The results showed that the teaching animation can improve the students' self-study performance and raise their interest in self-study.Key words: Medical teaching; Teaching animations; Physiology
Intensifikasi Pembelajaran Kontekstual Untuk Meningkatkan Prestasi Belajar dan Sikap Terhadap Bahasa Indonesia

Active involvement of students physically and emotionally, it is likely that the learning process will give the impression of interesting and fun, even challenging. Emotional experiences provided have the opportunity to change students' attitudes towards Indonesian subjects. This research was conducted at 6 Metro Junior High School with a total of 26 students. The average learning achievement increased from 2.54 from Pre-Cycle to Cycle I, starting from 4.21 to 6.75. Then it increased by 1.08 from 6.78 to 7.83 in Cycle II. Thus there is an increase in learning achievement from Prasiklus, Cycle I, and Cycle II. This increase has exceeded the planned indicator achievement, which is 7.5.
Real-time Face Video Swapping From A Single Portrait.

We present a novel high-fidelity real-time method to replace the face in a target video clip by the face from a single source portrait image. Specifically, we first reconstruct the illumination, albedo, camera parameters, and wrinkle-level geometric details from both the source image and the target video. Then, the albedo of the source face is modified by a novel harmonization method to match the target face. Finally, the source face is re-rendered and blended into the target video using the lighting and camera parameters from the target video. Our method runs fully automatically and at real-time rate on any target face captured by cameras or from legacy video. More importantly, unlike existing deep learning based methods, our method does not need to pre-train any models, i.e., pre-collecting a large image/video dataset of the source or target face for model training is not needed. We demonstrate that a high level of video-realism can be achieved by our method on a variety of human faces with different identities, ethnicities, skin colors, and expressions.
How to Use 7-Zip — Step by Step Free Guide (with Pictures)

How to use 7-ZIP to archive and compress your files? 7Zip is a great file compression and archiving tool. However, its unfortunate how only ...
Aula virtual para el aprendizaje y el entendimiento

The principal aim of education should be the understanding. Understanding is not equivalent to passive knowledge. We do not identify understanding with knowledge. Even large knowledge de not necessarily imply understanding. Understanding is personal, is subjective, needs personal reflection.For this aim the Virtual class-room of Moodle is excellent technology, it is indispensable, because students should prepare written individual texts of their private opinions about most fundamental concepts of science. Beside of Technology of Communication TIC, beside of Technology of Apprenticeship and Knowledge TAC [Rozar Lozano Dias 2011], we propose emphasize Understanding, the Technology of Learning of Understanding (TLU).
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms

This paper makes one step forward towards characterizing a new family of model-free Deep Reinforcement Learning (DRL) algorithms. The aim of these algorithms is to jointly learn an approximation of the state-value function (V), alongside an approximation of the state-action value function (Q). Our analysis starts with a thorough study of the Deep Quality-Value Learning (DQV) algorithm, a DRL algorithm which has been shown to outperform popular techniques such as Deep-Q-Learning (DQN) and Double-Deep-Q-Learning (DDQN). Intending to investigate why DQV's learning dynamics allow this algorithm to perform so well, we formulate a set of research questions which help us characterize a new family of DRL algorithms. Among our results, we present some specific cases in which DQV's performance can get harmed and introduce a novel off-policy DRL algorithm, called DQV-Max, which can outperform DQV. We then study the behavior of the V and Q functions that are learned by DQV and DQV-Max and show that both algorithms might perform so well on several DRL test-beds because they are less prone to suffer from the overestimation bias of the Q function.
EOSC as a game-changer in the Social Sciences and Humanities research activities

This paper aims to give some insights on how the European Open Science Cloud (EOSC) will be able to influence the Social Sciences and Humanities (SSH) sector, thus paving the way towards innovation. Points of discussion on how the LRs and RIs community can contribute to the revolution in the practice of research areas are provided.