Reviewerly/exHarmony huggingface dataset:
Systematic literature review protocol Identification and classification of feature modeling errors

Context: The importance of feature modeling languages for software product lines and the planning stage for a systematic literature review. Objective: A protocol for carrying out a systematic literature review about the evidence for identifying and classifying the errors in feature modeling languages. Method: The definition of a protocol to conduct a systematic literature review according to the guidelines of B. Kitchenham. Results: A validated protocol to conduct a systematic literature review. Conclusions: A proposal for the protocol definition of a systematic literature review about the identification and classification of errors in feature modeling was built. Initial results show that the effects and results for solving these errors should be carried out.
예비유아교사의 교직선택 동기와 교직적성·인성, 전공만족의 구조적 관계 분석

The purpose of this study is to investigate the structural relationship between preservice early childhood teacher's motivations for choosing teaching profession, aptitude and character for teaching profession, and major satisfaction. The results of this study, of motivations for choosing teaching p...
Detection of Mistakes in Japanese Learner’s Composition by Machine Learning –Detection of Grammatical Errors in a Clause–

We aim to develop a system to detect Japanese learner’s mistakes automatically. In this paper, we proposed a method to detect mistakes by machine learning. Especially, we focus on mistakes that are grammatical errors which can be detected from an alone clause. We discussed features for machine learning and a learning method. Consequently, we found that random forest and features constructed by result of morphological analysis bring the best result, correct judgement rate is 76% for unknown data.
Uncertainty Model Estimation in an Augmented Data Space for Robust State Estimation

The requirement to generate robust robotic platforms is a critical enabling step to allow such platforms to permeate safety-critical applications (i.e., the localization of autonomous platforms in urban environments). One of the primary components of such a robotic platform is the state estimation engine, which enables the platform to reason about itself and the environment based upon sensor readings. When such sensor readings are degraded traditional state estimation approaches are known to breakdown. To overcome this issue, several robust state estimation frameworks have been proposed. One such method is the batch covariance estimation (BCE) framework. The BCE approach enables robust state estimation by iteratively updating the measurement error uncertainty model through the fitting of a Gaussian mixture model (GMM) to the measurement residuals. This paper extends upon the BCE approach by arguing that the uncertainty estimation process should be augmented to include metadata (e.g., the signal strength of the associated GNSS observation). The modification of the uncertainty estimation process to an augmented data space is significant because it increases the likelihood of a unique partitioning in the measurement residual domain and thus provides the ability to more accurately characterize the measurement uncertainty model. The proposed batch covariance estimation over an augmented data-space (BCE-AD) is experimentally validated on collected data where it is shown that a significant increase in state estimation accuracy can be granted compared to previously proposed robust estimation techniques.
Sosyal Medya Kullanımında Güvenlik Riskleri ve Korunma Önlemleri

The social media is a user-based online network that brings large masses together, where users share their own content. Social media is actively used today since it expands the interaction between individuals and institutions. Due to its great potential, social media also attracts the attention of malicious individuals. The attackers also use social media actively to reach their victims. Although large-scale security investments are made against these widespread threats affecting individuals and institutions, no definite solution has been found yet. In this study, it was aimed to increase awareness of end-users by identifying the security weaknesses in social media, measures that can be taken and the ways of protection.
Wearable Communication and IOT Systems Basics

Wireless communication systems play a major role in shaping people’s lifestyles and every minute of their lives. Almost every simple procedure in our life is accompanied and monitored by cellular phones and smartphones. Since 1980, cellular phone technology has progressed every year. Communication engineers developed five generations of cellular phones and smartphones. There was a huge improvement from the first generation of cellular phones up to the fifth generation of cellular phones and smartphones. Communication theory and design were presented in several books and scientific papers, see [1–12]. Theory and design of wearable communication systems were presented in several books and scientific papers, see [4–12].
Lessons Learned During Turbulent Times to Weather and Thrive in the Storm of COVID-19

This article describes the lessons learned by our university during the global healthcare crisis of COVID-19. It highlights the agile solutions employed to continue learning under extraordinary circumstances. While we have captured the stories that allowed our students to power through this tumultuous period if they so desired, these lessons may also provide guidance to other higher education institutions not only for the current turbulent times, but also enhance their ability to pause and pivot by utilizing agile management to weather this and future storms.
Partial Matching of Large Scale Process Plant Models Using Random Walk on Graphs

3D process plant models(PPMs) in the process industry normally consists of thousands of components. And, there are many similar local structures in the PPM. Due to the complex process flow, the topology relationship among components is very complicated. Therefore, designing a new PPM is quite time consuming. In order to shorten the design cycle, content based model retrieval for PPMs is an imperative requirement. In this paper, we propose a partial matching framework for PPMs based on graph matching aiming at improving design efficiency and realizing design reuse. The random walk algorithm is employed to distinguish similar local structures. Specifically, each PPM is represented by an undirected labeled graph. The local topological feature of each component is extracted based on the random walk algorithm. For partial matching, a subgraph isomorphism algorithm is introduced. The matching process is accelerated by using the local topological feature to generate an optimized initial state and alleviate the computation of feasible rules. Experimental results show the feasibility and effectiveness of our matching framework.
A digital watermarking for social network data sets for enabling the data trust

Digital watermarking has become a promising research area to face the challenges created by the rapid growth in distribution of digital content over the internet. To prevents misuse of this data Digital watermarking techniques are very useful, In which a Secret message called as a watermarks which could be a logo or label, is embedded into multimedia data which again could be used for various applications like copyright protection, authentication, and tamper detection etc.. Based on the requirement of the application the watermark is extracted or detected by detection algorithm to test condition of the data. This paper presents another approach for watermarking image and extracting it for authentication purposes.
Pengaruh Minat-Bakat, Sarana-Prasarana dan Motivasi Belajar Terhadap Indeks Prestasi Komulatif Mahasiswa

This study aims to determine the effect of interests and talents, facilities and learning motivation on students achievement (IPK). The population in this study were students of the Faculty of Mathematics and Natural Sciences and students of the Faculty of Health Science in Universitas Nahdlatul Wathan Mataram, Indonesia. Samples used in this study were 33 students who were taken randomly. Data collection instruments using a questionnaire with a Likert scale that has been tested for validity and reliability before. The collected data were analyzed using multiple linear regression. The results show that: 1) learning facilities and motivation have a significant positive effect on student achievement (IPK), 2) interests and talents have no effect on student achievement (IPK), and 3) interests and talents, facilities and learning motivation simultaneously have an effect on significant on student learning achievement (IPK).
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

The Variational Autoencoder (VAE) is a popular and powerful model applied to text modelling to generate diverse sentences. However, an issue known as posterior collapse (or KL loss vanishing) happens when the VAE is used in text modelling, where the approximate posterior collapses to the prior, and the model will totally ignore the latent variables and be degraded to a plain language model during text generation. Such an issue is particularly prevalent when RNN-based VAE models are employed for text modelling. In this paper, we propose a simple, generic architecture called Timestep-Wise Regularisation VAE (TWR-VAE), which can effectively avoid posterior collapse and can be applied to any RNN-based VAE models. The effectiveness and versatility of our model are demonstrated in different tasks, including language modelling and dialogue response generation.
Listener’s Social Identity Matters in Personalised Response Generation

Personalised response generation enables generating human-like responses by means of assigning the generator a social identity. However, pragmatics theory suggests that human beings adjust the way of speaking based on not only who they are but also whom they are talking to. In other words, when modelling personalised dialogues, it might be favourable if we also take the listener’s social identity into consideration. To validate this idea, we use gender as a typical example of a social variable to investigate how the listener’s identity influences the language used in Chinese dialogues on social media. Also, we build personalised generators. The experiment results demonstrate that the listener’s identity indeed matters in the language use of responses and that the response generator can capture such differences in language use. More interestingly, by additionally modelling the listener’s identity, the personalised response generator performs better in its own identity.
Earth science phenomena portal: from deep learning-based event detection to visual exploration

&amp;lt;p&amp;gt;Earth science researchers typically use event (an instance of an Earth science phenomenon) data for case study analysis. However, Earth science data search systems are currently limited to specifying a query parameter that includes the space and time of an event.&amp;amp;#160; Such an approach results in researchers spending a considerable amount of time sorting through data to conduct research studies on events.&amp;amp;#160; With the growing data volumes, it is imperative to investigate data-driven approaches to address this limitation in the data search system.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We describe several contributions towards alternative ways to accelerate event-based studies from large data archives.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The first contribution is the use of a machine learning-based approach, an enabling data-driven technology, to detect Earth science events from image archives.&amp;amp;#160; Specifically, the development of deep learning models to detect various Earth science phenomena is discussed.&amp;amp;#160; Deep learning includes machine learning algorithms that consist of multiple layers, where each layer performs feature detection.&amp;amp;#160;&amp;amp;#160; We leverage recent advancements in deep learning techniques (mostly using convolutional neural networks (CNNs) that have produced state-of-the-art image classification results in many domains.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The second contribution is the development of an event database and a phenomena portal.&amp;amp;#160; The phenomena portal utilizes the deep learning detected events cataloged in an event database.&amp;amp;#160; The portal provides a user interface with several features including display of events of the day, spatio-temporal characteristics of events, and integration of user feedback.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The third contribution is the development of a cloud-native framework to automate and scale the deep learning models in a production environment.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The paper also discusses the challenges in developing an end-to-end Earth science machine learning project and possible approaches to address those challenges.&amp;lt;/p&amp;gt;
EXCLUSION OF ILLEGALITY OF OFFENSIVE SPEECH GIVEN IN DEFENCE OF A RIGHT OR PROTECTION OF JUSTIFIED INTERESTS

This scientific article analyzes the basic features and elements of the criminal offense of insult from the theoretical and normative aspect, with specific reference to the analysis of the conditions necessary for the application of the special legal ground for excluding illegality of offensive speech, stipulated in Article 170 (4) of the Criminal Code of the Republic of Serbia. Relying on the critical analysis of national criminal legislation and a brief review of national courts’ practice, the author points out to the contradiction of adopted legal standpoints when interpreting the disputed provisions, and emphasizes the importance of ensuring uniform and consistent court practice in this field. Proper and complete consideration of the criminal offense of insult, and especially the ground for excluding the illegality of the taken actions, stipulated in the provisions of Article 170 (4) of the Serbian Criminal Code, calls for precise interpretation of these provisions. Inadequate conduct of judicial bodies entails the possibility of convicting the perpetrator of the criminal offense of insult, even if the requisite conditions prescribed in the positive law have not been satisfied.
취학 전 아동영어교육의 모델 개발을 위한 효율적인 방안 연구

This paper aims to develop an English curriculum for preschool children(ECPC) on the basis of Nuri-Curriculum and suggests a model of teaching English and some criteria for developing teaching materials which can be applied to it. The ECPC suggests that the contents of the ECPC should be toward actions and problem-solving, which is called ‘project’ in the classroom. The model of teaching English on the basis of the ECPC comprises three kinds of contents. They are Nuri-Curriculum as teaching goals, multiple intelligences as instructional settings, and hierarchies of knowledge as teaching methods. The procedures of the teaching model have the four steps, which are prepare, practice, perform, and assess. In the process of the model puzzles which are specially designed to have the children think in solving a problem are used. (Jeonju National University of Education & Konyang University)
Towards a Sociology of KOS and More Basic KO Research

It is suggested that the knowledge organization (KO) field places greater emphasis on basic research that examines the sociology of KO systems (KOS) and the broader, environmental reasons for the development of both formal and informal KOS. This approach is contrasted with applied KO, which focuses on the practical construction or improvement of specific KOS. The preponderance of applied research in the field of KO is confirmed, at least within the document-centric strand more closely aligned with library and information science, through a survey of articles in the Knowledge Organization journal published between 2009 and 2018. The survey utilized the Frascati Manual definitions for basic and applied research, and referenced Tennis’s classification of KO research (2008). There is considerable potential for building on the critical tradition of KO, with various areas ripe for further sociological investigation. A sociology of KOS could also be accommodated in the popular KO approach of domain analysis.
Pelatihan Penggunaan Sistem Informasi Pengelolaan Surat Keluar di Desa Dunggala Kecamatan Tapa Kabupaten Bone Bolango

Assessment of good government performance is characterized by the quality of its services to the community. One of the roles of the village as the lowest administrative level in a region is to serve the community in making letters. Management of outgoing mail in Desa Dunggala, Kecamatan Tapa, Kabupaten Bone Bolango is still done conventionally, namely by recording the letter number in the agenda book. This resulted in village officials experiencing difficulties in managing the correspondence archives if in the future a letter with a certain number was needed. This community service activities aimed at helping the village government in managing outgoing mail by designing information system for managing outgoing mail. The information system was built based on the web application, but in its application is still used offline or localhost, due to internet network constraints in the village office. A database system is used for data storage so that it is easy to search the letters that have been made. Then, the village officials has been trained to use the information system. The results obtained from this activity are the information system for managing outgoing mail and the training of village officials in using the application. This information system can be further developed by taking into account the needs that exist in the village.
Difficulties of monitoring the quality of primary education

This article examines the issues of improving the quality of education in a modern primary school, suggests ways of representing quality assessment based on the implementation of monitoring procedures for educational activities in accordance with the educational standards.
Alumni Tracking System Using GPS

This word is aimed towards developing a Repository and each Engine for alumni of a college, which is of importance to an institution. The Alumni tracking system is a mobile based application that can be accessed throughout the World. The Alumni Tracking System provides the way in which alumni can stay connected with college which has been very important part of their memory. Alumni Tracking System does not connect only college with its alumni but also it connects current students of college and its alumni. So that the bond between existing students and pass-out students will become strong and there’ll be direct flow of data between them. Alumni Tracking System have features for both existing student and alumni like Content Management System, Discussion Groups (Forums), Career Center, GPS Tracking, etc. We understand the importance of "staying connected" &amp; therefore structured a portal which is equipped to let you connect, build credibility and expand upon the Graduates and to manage the alumni information.
A Method to Diagnose, Improve, and Evaluate Children’s Learning Using Wearable Devices Such as Mobile Devices in the IoT Environment

Every day we see an increasing tendency to use technology in education. In recent years, the impact of technology on the education process has received much attention. One of the important effects of technology is that it increases children’s motivation and self-confidence and increases group collaboration. The purpose of this paper is to transform the traditional classroom into a modern classroom in order to increase the ease and efficiency of the teaching process. The method includes phases of diagnosis and improvement. In the diagnose phase, the classroom is equipped with modern items such as Internet of Things (IoT) and game-based learning. In the improvement phase, the field method is used to extract and weight the effective criteria in improving the educational status. The proposed method has been tested on two English language kindergartens. The children tested were in the age group of 8 to 10 years. In the implementation of the proposed educational method in the first English language kindergarten, the average improvement of education and learning of children has almost doubled, which has been maintained by doubling the number of children tested in the implementation of the proposed educational method in the second English language kindergarten. As a result, the proposed educational method can increase the learning performance of children.
The nature and potential of the synergistic effects of management in a communicative society

The article raises the problem of self-organization for a communicatively organized society, which today is being addressed in the context of synergetics. Communication combines cognitive experience, a system of values, practical experience - all that is the basis for the consistent achievement of the ideal goal of self-development. In the classical theory of social knowledge, history has the image of a linear process, represented through a single orientation, through the repetition of processes. Having examined in detail the approach proposed by N. Luman, which describes the use of the possibilities of synergetics in creating the theory of society, many unique concepts are opened for research, such as "autopoiesis", "operational closure", and "structural docking". Having revealed the definitions of the above, the article defines the role and potential of synergetics in management, discloses those innovations that are introduced into the management model of the synergetic approach.
Thinking About Causation: A Causal Language with Epistemic Operators

This paper proposes a formal framework for modeling the interaction of causal and (qualitative) epistemic reasoning. To this purpose, we extend the notion of a causal model with a representation of the epistemic state of an agent. On the side of the object language, we add operators to express knowledge and the act of observing new information. We provide a sound and complete axiomatization of the logic, and discuss the relation of this framework to causal team semantics.
PENGEMBANGAN BAHAN AJAR DALAM BENTUK MEDIA KOMIK DENGAN ADOBE PHOTOSHOP CS6 PADA MATERI LAJU REAKSI

In achieving the learning objectives, many components are involved including teaching materials. One of the teaching materials that will be developed in the form of printed teaching materials, namely comics. The role of comics has a very important role because the emotional involvement of the reader will greatly affect the memory and memory of the subject matter obtained. This study aims to develop the teaching materials in the form of comic media using Adobe Photoshop CS6 software on the reaction rate material to determine teacher ratings and student responses to the developed comic media. This study uses a learning design procedural development model from ADDIE. The research instruments used were interview guidelines, needs questionnaires, expert team validation questionnaires, assessment questionnaires and student response questionnaires. The product of the development was validated by the content and construct validation team (Content Validity and Construct Validity), and was assessed by an expert validator in the multimedia field and then tested on a small group, the data obtained was further analyzed descriptively-quantitative. The positive result of class XI IPA 2 student responses at SMA N 7 Sarolangun were 87.02%, the results obtained that this comic media is very good and interesting. Based on the process and results of media development as well as material and results, overall it is concluded that this comic media product is feasible and interesting to use. Â