Reviewerly/exHarmony huggingface dataset:
Uncovering Machine Translationese: an experiment on 4 MT systems for English-French translations

The aim of this presentation is to discuss the linguistic features of machine-translated texts in comparison with original texts in order to uncover what has been called “machine translationese” (e.g. Daems et al. 2017). Using a corpus-based statistical approach, namely, the Principal Component Analysis technique, 4 MT systems have been investigated for English to French translations of press texts: 1 Statistical MT (SMT) and 3 Neural MT (NMT) systems, namely DeepL, Google Translate, and the European Commission’s eTranslation MT tool, in both its SMT and NMT versions. In particular, to complement a previous study on language-specific features (e.g. derived adverbs, existential constructions, coordinator et, preposition avec, see Loock 2018), a series of language-independent linguistic features were extracted for each text, ranging from superficial text characteristics such as the average word and sentence length, to frequencies of closed-class lexical categories and measures of lexical diversity.The final aim is to uncover linguistic features in MT texts that clearly deviate from the expected norms in original French.
Motion Estimation and Path Planning for Assistive Robotic Devices

Abstract Assistive robotic devices have recently become a popular tool in various healthcare applications. To better assist users in their daily activities with robotic devices, adequate moving paths of joints need to be adopted based on user’s motions. In this paper, a motion predicting model was proposed. With the model developed using convolutional neural networks (CNNs), the corresponding type of motions can be determined efficiently in the initial state. A deriving procedure of common trajectories of desired motions has also been proposed using the approach of temporal alignment. These derived common trajectories are stored as a library. After the type of a specific motion being identified, paths are then synthesized to drive robotic devices with these derived common trajectories.
Library: Finding and reusing research datasets: Physics

Guide on finding secondary data for reserach and identifying suitable data archives for research dataset deposits.
3. Debates and controversies

In spite of the tremendous growth in trajectory research over the past 25 years, the trajectory methodology is not without controversy. Debates and controversies remain a central feature of the literature. This chapter presents an overview of the major controversial issues and provides guidelines and suggestions for moving the research forward with greater clarity and reduced confusion. This chapter also picks up on the discussion of model-building considerations introduced in Chapter 2. Specifically, issues pertaining to (a) statistical criteria for class enumeration; (b) distributional issues, model misspecification, and overextraction of trajectory classes; (c) dependency on antecedents and covariates; and (d) robustness or sensitivity of trajectory solutions in relation to various methodological factors are detailed.
Formal Modeling and Implementation of Virtual Web Services

With the increasing number of Web services on the Internet, how to find Web Services that best meet users' needs become a hot research in the service computing fields. However, most current researches invoke services in a point-to-point manner, rarely considering the dynamic changes of services. Therefore, it is particularly important to establish a set of standardized service invocation methods to shield the difference between real service invocation (virtualization of Web services). Natural language processing techniques was used to realize the virtualization of the web service. On this basis, a set of matching and combination rules for virtual Web services is established. Then, the dynamic regulation mechanism and evolution mechanism are designed. Finally, the effectiveness of the proposed method is validated by using the real service dataset from the Aliyun.
Library: Finding and reusing research datasets: Social Sciences

Guide on finding secondary data for reserach and identifying suitable data archives for research dataset deposits.
Differences of MARC Metadata in Digital Library for Mainland, Taiwan, Hong Kong and Macao

Suggestions on Chinese literature cataloging of Mainland, Taiwan, Hong Kong and Macao are put forward, with a view to achieving world-wide sharing of Chinese bibliographic metadata. Cataloging rules and MARC format of Chinese literatures are compared in four places of China. The respective characteristics and the present situation are analyzed. According to the analysis results, CNMRAC, CMARC and MARC21 have their own advantages and disadvantages. A unified resource description framework is needed for the processing of Chinese literature cataloging. BIBFRAME is a more suitable unified resource description framework which needs further research and efforts to adapt to Chinese literatures in digital library.
Framework for Data Hiding Operation Using Motion Vectors for Effective Imperceptibility Performance

Data Hiding is one of the frequently used security approaches for safeguarding the sensitive information of the available data as well as to transmit secret information among different ends in a vulnerable network. However, majority of data hiding scheme evolved till date is focused on its embedding capacity or else focused on introducing the distinct parameters of encryption. However, all these approaches will not only make the embedded file bulky but also, they will lose its imperceptibility characteristics. Therefore, the proposed paper introduces a simple and robust reversible data hiding process where a secret image is embedded within a video as a cover image. Motion prediction and histogram shifting approach is also utilized for obtaining highly secured bit-streams. The outcome of the study shows that the proposed system offers a better signal quality and retains maximum imperceptibility irrespective of the size of the secret image.
The development of three-dimentional media chart to make golbi cleavage in sewing technology course

Abstract This study aims at developing the three-dimensional (3D) media chart for Making Golbi Cleavage of Sewing Technology course in State Vocational High School 1 Depok and knowing the feasibility of the 3D media chart in making Golbi Cleavage. This media is expected to be able to help the learning process and improve the efficiency and effectiveness of learning. This research can be categorized as Research and Development with the 4D development model based on Thiagarajan. The research development was done through 4 stages, i.e. define, design, develop and disseminate. The data collection techniques were using observation, interviews, and questionnaires. The data analysis techniques used descriptive statistical analysis. The instrument validity used the construct validity and Alpha Cronbach reliability testing. The media validation of the Three-Dimensional (3D) Chart was carried out by 3 media experts, 2 material experts and the students through the small scale test on 6 students and the large scale test on 29 students. The Three-Dimensional (3D) Media Chart was considered very feasible by obtaining the percentage of 100% from the experts and 83.2% from the students. This media was feasible based on the content and the appearance aspect.
A Survey of ARX-based Symmetric-key Primitives

Addition Rotation XOR is suitable for fast implementation symmetric –key primitives, such as stream and block ciphers. This paper presents a review of several block and stream ciphers based on ARX construction followed by the discussion on the security analysis of symmetric key primitives where the best attack for every cipher was carried out. We benchmark the implementation on software and hardware according to the evaluation metrics. Therefore, this paper aims at providing a reference for a better selection of ARX design strategy.
La enseñanza y el aprendizaje de los contenidos matemáticos desde una perspectiva comunicativa /The mathematical contents teaching and learning from a communicative perspective

Objective: The paper aims at devising a didactic model for the treatment of mathematical contents, based on the assumption of learning as a process of textual comprehension and considering the texts as a cultural unit.Methods: Documentary analysis was used as an empirical method to construct the theoretical framework. Methods such analysis-synthesis, induction and deduction, and modeling were used from a functional, structural and systemic perspective to characterize the state of art and devise the proposal.Results: The proposed model is accompanied by a methodology, based on the resizing of the Mathematics lesson as a system of didactic components for the leadership of the processes of comprehension and production of meanings from mathematical texts (propositions, definitions and procedures).Conclusions: The effectiveness of the proposed model lays on the renew description of the Mathematics lesson components having the processes of comprehension and production of mathematics texts as a central axis.
Alexa: A Pandora's Box of Risks

Launched in 2014, Amazon's Echo and Echo Dot smart speakers led the category's rapid adoption by households and enabled the penetration of artificial intelligence (AI) voice assistants into the everyday lives of millions of people. By 2019, Alexa the virtual brains behind Amazon's smart speakers was able to play music, create reminders, get weather reports, control lights and other home appliances, shop, and do much more in response to voice commands. Amazon had developed significant new capabilities for Alexa, developed an entire ecosysgtem around it, expanded Alexa's user base to more than 100 million users, and made significant progress in monetizing its digital voice assistant. However, Alexa's progress also created new challenges for Amazon, its Alexa-enabled customers, and society at large. Amazon needed to identify and address these challenges in order to encourage continued consumer acceptance and preclude detrimental government or regulatory action.
고교학점제 대비 고등학교 한문과 교육과정 개정 방향

The government is pursuing a series of policies aiming to apply to all high schools in 2022 through national tasks and follow-up measures about the high school credit system as the representative educational issue. If the high school credit system is implemented in full scale, subjects that are not designated as compulsory subjects like Chinese character education. Because, these subjects do not benefit greatly in college entrance exams are likely to be excluded from the student's choice. This paper examines the current high school credit system-related policies, and explores how to develop the next Chinese character education in high school and the curriculum. However, as a result of reviewing the high school credit system policy, it was determined that the implementation of high school credit system could be both a crisis and an opportunity. Major discussion of this study are as follow. First, in view of the revision of the next Chinese character and curriculum in mind, the educational goals and directions of the Chinese character subjects are maintained in relation to the standard science and the subject of Chinese character education. Second, it will be necessary to actively discuss whether to choose the direction of strengthening the character as an instrumental textbook of the Chinese textbook. Third, the way to make a compromise between pros and cons about Chinese character.
New Forms Of Patriotic Values Formation Through Civil Socialization Of The Teenagers

The urgency of the study problem is determined by the need of the society to form patriotic values through civil socialization of the young generation. At the current stage of social development, it is necessary to create and advance the approaches to establish patriotic values through civil socialization of the young generation. The different types of civil socialization present opportunities for the establishment of comprehensively and harmoniously developed a personality that is skilled in legal and moral areas. The main goal of the current research is to clarify such concepts as “patriotic values” and “civil socialization” and to find new ways of their formation. The main goal of civil socialization of the young generation is to develop such integrative civil qualities as inner freedom, respect to the government authorities, love for the motherland, self-esteem, discipline, manifestation of patriotic values and feelings, and interpersonal communication culture. In this regard, our main aim is to determine new ways of patriotic values formation through civil socialization of the young generation and as a result, increase the effectiveness of the described process. The main approach to study this problem is the analysis of concepts such as patriotism, values and civil socialization, as well as the classification of new forms. The results of the research specify concepts such as “patriotic values” and “civil socialization” and characterize new pedagogical forms of patriotic values formation through civil socialization of the young generation.
HUBUNGAN ANTARA KECERDASAN EMOSIONAL DENGAN KREATIVITAS BELAJAR ILMU PENGETAHUAN SOSIAL KELAS IV SEKOLAH DASAR

The aims of The Correlation Study are to find out the relationship between emotional intelligence and creativity of social studies learning of students fourth grade of elementary school in Kelurahan Meruya Utara, Jakarta Barat. The sample in this study amounted to 118 students' of fourth grade at Primary Schools in Kelurahan Meruya Utara. The Sampling using Simple Random technique with a constellation model of the relationship between X with Y. The data are collected by using a non-test instrument in the form of a questionnaire and test instruments in the form of a description item. The data is analyzed using product moment correlation test and t-test. Based on the calculation of the product moment correlation test, the amount obtained is 0,274 and the t-test is obtained from tcount>ttable (3,069>3,922) showing that the alternative hypothesis is accepted and the null hypothesis is rejected, which means there is a positive relationship between emotional intelligence with social learning creativity with weak correlation. Calculation of the coefficient of determination obtained by 7,5% means that social studies learning creativity is influenced by emotional intelligence by 7,5%.
Image Dehazing Network Based on Dilated Convolution Feature Extraction

Hazy weather brings a lot of inconvenience to peoples lives, such as transportation. Therefore, image dehazing is still an important focus point. To achieve image dehazing, we proposed a Deep Dilated Residual Haze Network (DDRHNet) based on self-encoder and self-decoder. The proposed mode is an end-to-end supervised method, which directly estimates image dehazing result instead of estimating the atmospheric light and the transmission in the unsupervised and classical atmospheric scattering model. The DDRHNet method obtains image dehazed result by finding the difference between the input hazy image and the output of haze-free image. Experimental results on an open image dehazing dataset called SOTS demonstrate the superiority of the proposed DDRHNet network.
Creating a Configuration Security Layer for Embedded Devices: A research-based on the case study of a widely used Embedded Device

As software security expert Bruce Schneier argues, the pervasive vulnerability of embedded systems today is structurally similar to the security crisis of PCs in the mid-1990s—only much worse. Embedded devices are ideal malware targets for several reasons. Firstly, Internet-connected devices are inherently more exposed to remote exploitation. Furthermore, embedded systems are notoriously difficult to update, regularly leading to unpatched vulnerabilities. Last but not least, many such devices operate in a mostly unattended fashion, which means that the timely discovery of compromise is unlikely. Hardening is the process of securing a system by reducing its surface of vulnerability. Hardening of the already deployed embedded devices that are connected to the internet is examined in this research. A method capable of automatically generating and enforcing security configuration based on the embedded system’s set of functions has been designed and implemented. The proposed system is dynamic, automatic, and seamless. Hardening level of such devices is measured through recognized security benchmarks. The objective is to harden the product as much as possible while maintaining its full functionality. This study concerns embedded systems using custom Linux-distribution software. The thesis was conducted in cooperation with Atos. OpenScape Business series X (OSBiz X) was used as a case study. OSBiz X is an embedded system used as a telephony center, with more than 150.000 systems already deployed worldwide. Implementing the system described above on OSBiz X significantly increased the hardening-level of the product while its functionality remained intact. Due to the case study’s scenario results, Atos plans to integrate the proposed system into the next version of OSBiz X’s official release. Finally, ongoing research about other internal organization’s products that could greatly benefit from this approach is being conducted.
Study on the Initial Values of the Latent Ability Distribution When Estimating the IRM Parameters Using EM Algorithm

Using the EM algorithm can estimate the item parameters and the latent ability distribution parameters in the item response models at the same time. However, the initial values for the latent ability distribution parameters have a noteworthy impact on the parameters estimation results. In this paper, a method of adjusting initial values for the latent ability distribution based on mean and variance is presented. It can reduce the influence of initial values on estimation results so as to make the estimation results within a reasonable range and promote the practical application of the estimation of latent ability distribution. The feasibility of this adjustment method is illustrated by comparing with the marginal maximum likelihood Bock-Aitken algorithm.
Compound Noun Decomposition by using Syllable-based Embedding and Deep Learning

기존의 복합명사 분해 알고리즘은 미등록어 단위명사들이 포함된 복합명사를 분해할 때 미등록어를 분리하기 어려운 문제가 발생한다. 이는 현실적으로 모든 고유명사, 신조어, 외래어 등의 모든 단위 명사를 사전에 등록하는 것은 불가능하다는 한계가 존재하기 때문이다. 이 문제를 해결하기 위하여 복합명사 분해 문제를 태그 열 부착(sequence labeling) 문제로 정의하고 음절 단위 임베딩과 딥러닝 기법을 이용하는 복합명사 분해 방법을 제안한다. 단위명사 사전을 구축하지 않고 미등록 단위명사를 인식하기 위하여 복합명사를 구성하는 각 음절들을 연속적인 벡터 공간에 표현하여 LSTM과 선형체인(linear-chain) CRF를 이용하는 방식으로 복합명사를 단위명사들로 분해한다.The existing compound noun decomposition algorithm has a problem that it is difficult to separate unregistered nouns when decomposing compound nouns that contain unregistered unit nouns in the dictionary. This is because there is a limit to the fact that it is impossible to register all unit nouns into the dictionary such as proper nouns, coined words, and foreign words in advance. In this paper, in order to solve this problem, compound noun decomposition problem is defined as tag sequence labeling problem and compound noun decomposition method to use syllable unit embedding and deep learning technique is proposed. In order to recognize unregistered unit nouns without constructing unit noun dictionary, compound nouns are decomposed into unit nouns by using LSTM and linear-chain CRF expressing each syllable that constitutes a compound noun in the continuous vector space.
Cultural And Educational Environment As A Factor Of Personal Self-Identification Of Learners

Research problem: improving the efficiency of personal determination of students of secondary schools. Purpose: to identify opportunities and pedagogical conditions to improve the effectiveness of personal (value-semantic and professional) self-determination of students by means of cultural and aesthetic environment of secondary school. Methods: comparative analysis of the experience of schools in Cheboksary on personal self-determination of students by means of cultural and educational environment. Results: In domestic pedagogy, the environmental approach proclaims the role of environment in solving the problems of education. Cultural and educational environment of the school is considered as an important source of intellectual, spiritual, moral and creative development, personal self-determination of students in accordance with individual characteristics. However, the realization of this potential depends on the professional competence of teachers in the field of organization of the educational space of the school. A survey of secondary schools teachers showed that everyone recognizes the important role of the cultural and educational environment of the school in the value-semantic and professional self-determination of students, but a significant part of the teachers could not name the structural components of such environment. There were difficulties in the creation of cultural and educational space and the realization of its potential for personal self-determination of students. Analysis of the experience of these schools showed that the cultural and educational environment in them has differences that reflect the direction of the educational process.
HEATHCLIFF’S NEUROSIS IN BRONTЁ’S WUTHERING HEIGHTS NOVEL

This research was conducted to explore Heathcliff in Emily Bronte’s Wuthering Heights novel psychologically. The researcher was aimed to find out the factors which contributed to the development of Heathcliff’s neurosis and to reveal the neurotic trends that appear in Heathcliff as he attempts to fight against his conflicts. The researcher used qualitative method with content analysis approach in conducting this research. The researcher analyzed Heathcliff by applying the literary theory and psychological theory. The researcher found that the main cause of Heathcliff’s neurosis as portrayed in Wuthering Heights novel was basic anxiety produced by the social environment where he lived. The factors that contributed to his development of neurosis were familial interference and the Victorian culture based on competition. Consequently, he developed three (3) neurotic trends as his defense mechanism to fight against his conflicts. These neurotic trends were (1) moving toward people; (2) moving against people; and (3) moving away from people.