Reviewerly/exHarmony huggingface dataset:
A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group

With the tremendous benefits of internet and advanced communications, there is a serious threat from the data security perspective. There is a need of secure and robust encryption algorithm that can be implemented on each and diverse software and hardware platforms. Also, in block symmetric encryption algorithms, substitution boxes are the most vital part. In this paper, we investigate semifield substitution boxes using permutation of symmetric group on a set of size 8 S_8 and establish an effective procedure for generating S_8 semifield substitution boxes having same algebraic properties. Further, the strength analysis of the generated substitution boxes is carried out using the well-known standards namely bijectivity, nonlinearity, strict avalanche criterion, bit independence criterion, XOR table and differential invariant. Based on the analysis results, it is shown that the cryptographic strength of generated substitution boxes is on par with the best known $8\times 8$ substitution boxes. As application, an encryption algorithm is proposed that can be employed to strengthen any kind of secure communication. The presented algorithm is mainly based on the Shannon idea of (S-P) network where the process of substitution is performed by the proposed S_8 semifield substitution boxes and permutation operation is performed by the binary cyclic shift of substitution box transformed data. In addition, the proposed encryption algorithm utilizes two different chaotic maps. In order to ensure the appropriate utilization of these chaotic maps, we carry out in-depth analyses of their behavior in the context of secure communication and apply the pseudo-random sequences of chaotic maps in the proposed image encryption algorithm accordingly. The statistical and simulation results imply that our encryption scheme is secure against different attacks and can resist linear and differential cryptanalysis.
MONTHLY DESIGN DATA FOR MAXIMUM SOLAR RADIATION FALLING ON COLLECTOR ARRAYS IN BAGHDAD CITY

Increasing use of solar energy as a clean and free solution for energy demand necessitates proper use of its equipment, enhanced spatial planning and distribution of solar collectors, optimum directional facing and tilt angle to ensure maximum solar radiation falling, and decreasing as possible as the shading effects of panel arrays. Most existing references lack comprehensive data about shading effects that varied along the year and design of solar array. In the present work, enhanced theoretical design data of solar collector arrays were tabulated for each month in Baghdad. MATLAB program was used to calculate the maximum clear sky solar radiation per unit area per day. The tabulated data yields an economically saved design of solar field or rooftop collector systems. The results indicated that, the shading effect on panel arrays almost vanishes when the distance between two panel rows to panel height ratio is greater than 1 in summer and greater than 2 in winter.
Dependency-Based Neural Representations for Classifying Lines of Programs

We investigate the problem of classifying a line of program as containing a vulnerability or not using machine learning. Such a line-level classification task calls for a program representation which goes beyond reasoning from the tokens present in the line. We seek a distributed representation in a latent feature space which can capture the control and data dependencies of tokens appearing on a line of program, while also ensuring lines of similar meaning have similar features. We present a neural architecture, Vulcan, that successfully demonstrates both these requirements. It extracts contextual information about tokens in a line and inputs them as Abstract Syntax Tree (AST) paths to a bi-directional LSTM with an attention mechanism. It concurrently represents the meanings of tokens in a line by recursively embedding the lines where they are most recently defined. In our experiments, Vulcan compares favorably with a state-of-the-art classifier, which requires significant preprocessing of programs, suggesting the utility of using deep learning to model program dependence information.
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels

Static knowledge graph has been incorporated extensively into sequence-to-sequence framework for text generation. While effectively representing structured context, static knowledge graph failed to represent knowledge evolution, which is required in modeling dynamic events. In this paper, an automatic commenting task is proposed for long novels, which involves understanding context of more than tens of thousands of words. To model the dynamic storyline, especially the transitions of the characters and their relations, Evolutionary Knowledge Graph(EKG) is proposed and learned within a multi-task framework. Given a specific passage to comment, sequential modeling is used to incorporate historical and future embedding for context representation. Further, a graph-to-sequence model is designed to utilize the EKG for comment generation. Extensive experimental results show that our EKG-based method is superior to several strong baselines on both automatic and human evaluations.
Growing Expectations to Pre-Service Teacher Usage of Technology

This paper recapitulates about discoveries related to an exploration study set up for evaluating pre-administration teacher utilization of innovation in colleges in teacher’s training program. Data evaluation has been focused on technique rule of “Teacher Work Sample”, pre-administration teacher coming full circle venture. TWS is a study unit that serves as authenticated evaluation by pre-service teachers and needed proficiency demonstration in executing, estimating, reflecting & designing as per guidance of teacher’s. Recently revised data of TWS had been compared to earlier version of TWS. Amended variant included better rules than before, for example, pre-administration teachers must utilize technique in order to promote acute thinking skills, through students inside classroom, and to perform real-life task. Outcome of study includes target area to improvise programmatic design.
Storytelling Data Visualization for Grievances Management System

The City Grievance Management system is all about collecting complaints from citizen and presenting it to the authorities responsible for decision making. Grievances/complaints have to be visualized in an explanatory manner to understand it in an effective manner. Visualization plays a big role in any dashboard and also to know insights of content from a broad perspective. Some visualization fails to be informative and does not explain the context of problems. Even, all problems need different representations and couldn’t be projected in terms of bar charts and pie charts. The wrong direction of projection may mislead the user. In the current scenario, companies are becoming data driven which has raised the need to extract valuable insights from the humongous amount of data. In this paper, the Gestalt principle is used to design the visualizations for the grievances. The principles are based on human perception of similarity, the law of closure, proximity, connectedness and law of continuity. The study also deals with choosing the right type of visualization over specific objectives of complaints and how to tell a story out of grievances.
An Analysis on the evaluation teacher's performance-based payment from the perspective of educational accountability : Focused on Elementary school of Gyeonggi Province

이 연구는 교원 성과상여금 평가기준을 교육책무성 유형(행정적, 전문적, 도덕적, 고객지향적)에 따라 분류하고 이를 바탕으로 교원 성과상여금 평가기준의 실태를 분석하여 교육책무성 제고를 위한 교원 성과상여금 평가가준의 시사점을 도출하는데 목적이 있다. 이를 위해 경기도 내 초등학교 90개교의 교원 성과상여금 평가기준을 분석하였다. 주요 분석결과는 다음과 같다. 첫째, 평가기준을 교육책무성 유형별로 분류한 결과 행정적, 전문적 책무성이 매우 높은 비율을 차지하고 있었다. 둘째, 평가내용과 관련하여 투입차원의 평가지표가 가장 많았고, 산출 차원의 평가지표가 가장 적었다. 셋째, 평가방법과 관련하여 평가지표는 대부분 객관적 지표로 이루어져 있었고, 이는 행정적 책무성과 정적상관을 나타냈다. 넷째, 평가자와 관련하여 평가주체는 대부분 교사로 이루어져 있었고, 관리자와 학부모의 순으로 나타났다. 관리자는 도덕적 책무성, 학부모는 고객지향적 책무성과 정적상관을 나타냈다. 이를 통해 다음과 같이 제언하였다. 첫째, 도덕적 책무성을 평가할 수 있는 평가기준의 개발이 필요하다. 둘째, 고객지향적 책무성을 평가할 수 있는 평가기준의 개발이 필요하다. 셋째, 투입보다 과정 및 산출 차원의 평가기준의 비율을 높여야 한다.This study classifies evaluation teacher s performance-based payment criteria according to educational accountability type (administrative, professional, moral, client-oriented) and analyzes the actual condition of evaluation teacher s performance-based payment standard. The evaluation performed in a total of 90 schools in Gyeonggi Province, were randomly sampled and analyzed. The followings are main findings of this study. First, as a result of classifying the evaluation criteria by educational accountability type, administrative and professional accountability accounted for the highest percentage. Second, regarding the contents of evaluation, the evaluation index of input dimension was the most. Third, in relation to the evaluation method, most of the evaluation indicators consisted of objective indicators. Fourth, most of the evaluators were teachers. So, I suggested the following. First, it is necessary to develop evaluation criteria that can evaluate moral accountability. Second, it is necessary to develop evaluation criteria that can evaluate client-accountability. Third, the ratio of evaluation criteria for process and output dimension should be increased rather than input.
Luminance [Y] Utility to Compact Color Video

In this paper, luminance-based scene change detection is utilized to condense color video. Video is comprised of frames shots and scene. Depending on video content shot and scene may be same or vary. Luminance (Y) is black and white information of frame or a picture. A single frame is also quite vital because video is sequences of frames. Color frame requires more space. This space is expensive and limited. Bandwidth required is obviously more in color width. So it is essential to compress color video to cater every user application of entitled paper is used. In portable Media Player (PMP) like smartphones, laptop for video broadcasting, video conferencing. Latest requirement, most essential is mobile, tab for every human being.
미국의 정보자유법과 정보공개청구 제도

Information has two contradicting dimensions in open liberal democratic society. On the one hand, it needs to be disclosed based on the principles of “rights to know”, “transparency of public administration”, and “democracy”. Yet, on the other hand, it should be protected from the open access for national security and social safety. Particularly, such a contrasting dimensions even more stand out due to the recent technological advancement and information revolution. South Korea as a liberal democratic country, needs to find a balance between the requirement of information disclosure and the inevitability of information protection for national security. In order to find such a balance, it is meaningful to examine the information disclosure system of the United States where liberal democracy has long been prevailed. This article attempts to find lessons to develop the South Korean information disclosure system by examining that of the US. For doing so, it specifically focuses on the following aspects. First, it examines the US legal codes and regulations regarding information disclosure. Second, it examines the conditions of non-disclosure to the public for the sake of the government. Also, regarding such conditions, actual cases, legal issues, and legal cases will be examined. It is expected that lessons drawn from the US cases could positively affect the development of the South Korean information disclosure system and the discovery of the balance between the requirement of information disclosure and the necessity of information protection for South Korea.
THE EFFECT OF GROUP INVESTIGATION BY SIGIL AND LEARNING MOTIVATION TOWARD BIOLOGY LEARNING OUTCOMES

The purpose of this study was to determine the effect of group investigation by sigil and learning motivation toward biology learning outcomes. This research is a quantitative research with an experimental method. The population of this study was all X grade students of IPA of SMA Negeri 61 Jakarta with a total of 140 students, the study sample was determined by a cluster sampling technique of 2 classes with a total sample of 70 students. The learning strategy in the experimental class used the group investigation by sigil with group discussion method while the control class used the lecture method. The research hypothesis test used two-way analysis of variance with a 2x2 factorial design and a significant level of 5%. The analysis prerequisite test that is carried out is the normality test using Kolmogorov Smirnov and homogeneity test using Barlett test. From the results of the analysis it can be concluded that (1) there was an influence of group investigation by sigil toward biology learning outcomes, (2) there was effect between the level of learning motivation in biology learning outcomes; 3) there was no interaction between group investigation by sigil and learning motivation toward biology learning outcomes.
A Non-classical Approach to the Study of the Unconscious in Adolescence and Youth

A non-classical approach to the development of personality in teenage years and adolescence presupposes a student’s self-development, where the individuality, initiative, identity of the student’s personality development is put at top of mind. The discovery of new opportunities and prospects in the study of unconscious psychological determinants, the relationship of consciousness and the unconscious and their manifestations in the youth personality in the educational environment, involves, on the one hand, the formation of the psychological foundations of the personality of young men and women as active subjects, creators, self-creating, self-determining personalities, on the other hand, involves the formation of unconscious psychological determinants (unconscious attitudes, personality archetypes: ego, self, persona, anima, animus, shadow), which are responsible not only for the content of the conscious part, but also the behavior of the individual.
The role of musical and aesthetic activity in the development of creative abilities of children with visual impairments

A retrospective analysis of psychological and pedagogical literature and practical experience in the field of education allows us to state the fact that music development, musical lessons and aesthetic activity have a great positive effect on the development of the personality of children with hearing impairments. At the same time, the insufficient development of the methodology and methods for the development of musical and creative abilities of visually impaired children in order to correct their physical and moral development gives the reason to consider this problem to be quite relevant and timely. Some aspects of solving this problem are disclosed in this article. The purpose of this article of ours is to disclose the essence and content of the concept of “musical and creative abilities”; analysis of the psychophysiological characteristics of visually impaired children in the context of the development of their musical and creative abilities; characteristics of the content and forms of musical education of visually impaired children in order to develop creative abilities and the results of the experimental work of the authors in this direction. Theoretical and empirical research methods were used to solve the stated tasks: analysis of the musical, pedagogical and psychological literature on the research problem; analysis of pupil performance; study, analysis and generalization of advanced pedagogical experience on the stated problem, pedagogical observation, questionnaire, survey, conversation. The article contains a description of the results of the implementation in the process of experimental work of the pedagogical conditions that we have identified that contribute to improving the development of creative abilities in visually impaired children. The data obtained allow us to conclude that, after conducting experimental work, the indicators improved according to all the criteria we identified for the successful development of creative abilities in visually impaired children.
GS-OPT: A new fast stochastic algorithm for solving the non-convex optimization problem

&lt;p&gt;Non-convex optimization has an important role in machine learning. However, the theoretical understanding of non-convex optimization remained rather limited. Studying efficient algorithms for non-convex optimization has attracted a great deal of attention from many researchers around the world but these problems are usually NP-hard to solve. In this paper, we have proposed a new algorithm namely GS-OPT (General Stochastic OPTimization) which is effective for solving the non-convex problems. Our idea is to combine two stochastic bounds of the objective function where they are made by a commonly discrete probability distribution namely Bernoulli. We consider GS-OPT carefully on both the theoretical and experimental aspects. We also apply GS-OPT for solving the posterior inference problem in the latent Dirichlet allocation. Empirical results show that our approach is often more efficient than previous ones.&lt;/p&gt;
A Study of Non-autoregressive Model for Sequence Generation

Non-autoregressive (NAR) models generate all the tokens of a sequence in parallel, resulting in faster generation speed compared to their autoregressive (AR) counterparts but at the cost of lower accuracy. Different techniques including knowledge distillation and source-target alignment have been proposed to bridge the gap between AR and NAR models in various tasks such as neural machine translation (NMT), automatic speech recognition (ASR), and text to speech (TTS). With the help of those techniques, NAR models can catch up with the accuracy of AR models in some tasks but not in some others. In this work, we conduct a study to understand the difficulty of NAR sequence generation and try to answer: (1) Why NAR models can catch up with AR models in some tasks but not all? (2) Why techniques like knowledge distillation and source-target alignment can help NAR models. Since the main difference between AR and NAR models is that NAR models do not use dependency among target tokens while AR models do, intuitively the difficulty of NAR sequence generation heavily depends on the strongness of dependency among target tokens. To quantify such dependency, we propose an analysis model called CoMMA to characterize the difficulty of different NAR sequence generation tasks. We have several interesting findings: 1) Among the NMT, ASR and TTS tasks, ASR has the most target-token dependency while TTS has the least. 2) Knowledge distillation reduces the target-token dependency in target sequence and thus improves the accuracy of NAR models. 3) Source-target alignment constraint encourages dependency of a target token on source tokens and thus eases the training of NAR models.
Technogization of Society as a Factor of Socio-Cultural Modernization

According to the author, the development processes of modern society are relevantly described using the theories of the information society and the knowledge society. In this regard, the modern directions of research carried out within the framework of the socio-information paradigm are indicated (in particular, the consideration of the influence of digital technologies on social changes and the dynamics of digital inequality in society). Attention is drawn to the fact that in the theories of the information society and the knowledge society, the central issue is the strategies for technologizing social practices and their consequences for society and individuals. It is noted that the technologization of social practices changes the structure and forms of communication processes between social actors and the dynamics of the development and functioning of various elements of the social system. The article shows the mechanism of sociocultural regulation of modernization processes, which in modern society is the technicalization of social practices. Technologization of society can be understood as a process of a gradual structural and functional transition of all social systems from a traditional society to an industrial one, and then to a postindustrial one, as well as the formation and approval of new institutions and modern systemic features in society. The dynamics of socio-cultural modernization is greatly influenced by the global technogenic context, which acts as an exogenous factor in the modernization process. It is argued that technologization, in addition to its own, purely material, technical and economic meanings, also has instrumental significance as an integrated regulator of social processes, and consists of false methods of structural and functional impact on the political, social and spiritual-value spheres of modern society. It is noted that socio-political modernization is in close interdependence with technological modernization. Moreover, a rather complicated interaction takes place between the development tracks of ethnic and national cultures and the process of political modernization.
Helping a robot to understand human actions and objects: a grammatical view

Abstract Humans are able to perform a wide variety of complex actions manipulating a very large number of objects. We can make predictions on the outcome of our actions and on how to use different objects. Hence, we have excellent action and object understanding. Artificial agents, on the other hand, still miserably fail in this respect. It is particularly puzzling how inexperienced, young humans can acquire such knowledge; bootstrapped by exploration and extended by supervision. In this study we have, therefore, addressed the question how to structure the realm of actions and objects into dynamic representations, which allow for the easy learning of different action and object concepts. Performing different manipulation actions on a table top (e.g. the actions of “making a breakfast”), we show with our robots that this will indeed lead to some kind of implicit (un-reflected) understanding of action and object concepts allowing the agent to generalize actions and redefine object uses according to need.
LibGuides: Library Information for Remote Study: COVID19 Offers & Resources

A growing list of offers from vendors for free materials from vendors during the COVID19 crisis. From the Andruss Library's COVID-19 Offers and Resources guide.
Energy Harvesting from Human Locomotion using Piezoelectric Transducer-Based Shoe

In this paper a proposed design of a piezoelectric transducer-based energy harvesting device has been presented. The primary goal of the research was to develop a device that can charge up the batteries of smartphones or other small-scale gadgets using the energy from human locomotion. The operation of our charging device involves the conversion of the mechanical stress produced in the transducer plates by human footsteps during walking, sprinting, etc. into alternating current and voltage which is then rectified and adjusted by electronic circuit combinations to meet the direct current and voltage requirements for replenishing the battery charge.