Reviewerly/exHarmony huggingface dataset:
Fuzzy Kernel Based Effective Clustering Techniques in Analyzing Heterogeneous Databases

Abstract The aim of this paper is to introduce an effective fuzzy clustering technique based kernel function to find appropriate subgroups in heterogeneous databases. This paper introduces the effective fuzzy clustering that incorporates weighted bias field information, kernel distance, possibilistic memberships and fuzzy memberships into memberships equation and prototype equation. The effectiveness and efficiency of the proposed clustering techniques have been shown through the experimental results on benchmark heterogeneous databases.
Japanese students' interaction using smartphone apps: a study of young learners in a private high school

The widespread use of mobile devices plays a significant role in our everyday lives and has changed the way we communicate and interact. Mobile-Assisted Language Learning (MALL) offers numerous opportunities for learning inside the classroom with mobile devices no longer seen as only social and gaming devices. Research shows that mobile device applications (apps) are now valuable tools which are used for education and language learning, in particular for promoting learner collaboration and social interaction. The purpose of this study is to discover how smartphones and apps can support greater student interaction. With an increased number of educational institutions, namely private junior and senior high schools in Japan embracing mobile technology into classroom pedagogy, this study investigates which smartphone repurposed apps are useful for encouraging interaction between students. The significance of this research is beneficial for learners, teacher-educators and app developers in advancing the benefits of social interaction in second language acquisition (SLA) utilising mobile devices. Through qualitative structured observation of participants in a Tokyo high school classroom, this study explores which smartphone apps are the most successful in encouraging interaction measured by frequency counts. The quantitative data reveal which apps are the most suitable for supporting greater social interaction and collaboration between learners. The implications derived from the findings support the argument that smartphones provide increased student-student interaction and collaboration.
The Effect of The Whole Language Approach to Student’s Basic Integrated English Skills Learning Achievement

The objectives to be achieved in this study were to find out the effect of the Whole Language Approach to Subject Learning Outcomes Basic Integrated English Skills in Third Semester Students of the PGSD Department Ganesha University of Education (Undiksha) which consisted of 7 classes with 221 students. This research is a quasi-experimental study with the research design used is non-equivalent post-test only control group design. After seven treatments, post-test is held in control group and experiment group. The average score in control group was 68.58 and it’s in the medium category, and in experiment group the post-test score was 85.16 and it’s in the high category. There is 16.58 point of difference. Therefore, it can be said that the whole language approach has a significant influence on the learning achievement of Basic Integrated English skills for third semester students in the Elementary Teacher Education Department, Faculty of Education, Ganesha University of Education (Undiksha) academic year 2017/2018.
Going It Alone: Why University Presses Are Creating Their Own E-Book Collections

Most university presses deliver their e-books to libraries through aggregators.However, in 2019, two university presses, the MIT Press and University of Michigan Press, will launch their own e-book offerings for direct sale to institutions, and other presses are considering following suit.While there are a few university presses who have offered their own e-book products for a number of years, the intensity of discussion within the university press community about "going it alone" is new and deserves further interrogation.
An Evaluation of User Awareness for the Detection of Phishing Emails

Phishing attacks are among the most serious Internet criminal activities.They aim to make Internet users believe that they are using a trusted entity, for the purpose of stealing sensitive information, such as bank account or credit card information.Phishing costs Internet users millions of dollars each year.An effective method that can prevent such attacks is improving the security awareness of Internet users, especially in light of the significant growth of online services.This paper discusses a real-world experiment, which aims to analyze and monitor the phishing awareness of an organization's users in order to improve their awareness.The experiments have been targeting 1500 users in the education sector.The results of the experiment reveal that phishing awareness has a significant positive effect on users' ability to distinguish phishing emails and websites, thereby avoiding attacks.
Instruments for tackling priority tasks of national project "Science": universities practice

The article discusses the main tasks of research activities in universities in the context of the implementation of the basic areas of scientific and technological development in Russia.The study aimed at identification of effective tools that can be used in the practice of universities to address the priorities of our country's scientific policy.The work highlights indicators national of project "Science" that will enforce the achievement of the strategic goal of science development in Russian Federation -ensuring the presence in the top five countries of the world, carrying out research and development.Tools have been identified to enable universities to make a breakthrough in research activities, which will enable them to implement the objectives set in the national projects of the Russian Federation.The methodological and theoretical basis of the research is made up of works on the issues of scientific-technological and innovative development of countries, research of the scientific potential of universities.There were set out a characteristic of tools used in research practice of a particular university for solving research tasks, increasing the quality and effectiveness of scientific research, upgrading the efficacy of educational process.It has been proved that the implemented approach at the university is based on the balance of traditions and innovations in the management of the university's scientific activities.The application of this experience will significantly expand the possibility of accomplishing the strategic objectives of national project "Science" set by the government.The novelty and originality of the study lies in identifying tools that allow regional universities to respond development challenges of Russia's scientific and technological progress.The implementation of the realized approach to other universities practice will speed up the execution of the tasks set by the government of the country.
ADAPTABLE MULTI-TOUCH TECHNOLOGY SYSTEM FOR TOUCH SENSITIVE DEVICES

The touch sensing technology that has paved way for a user friendly interaction with the components has become a more prominent option in the recent days due to its capability of providing a direct communication by just one touch and its compatibility with the users of all age and different level of skills. The touch technology can be single or multi and supported by variety of technologies, such as resistive, capacitive, acoustic and infrared. Among all the technologies the capacitive sensor are widely opted as they possess a low hysteresis, good repeatability and faster response time. The paper also puts forward adaptable multi-touch technology system for the touch sensitive devices, by proposing a flexible capacitive touch sensor to make touch sensitive devices more users friendly with the a highest degree of sensitivity to the touch and satisfactory performance for a broader range of applications with the heightened durability.
Meningkatkan Rasa Nasionalisme Siswa Melalui Game Base Learning

The birth of Game Based Learning take a new prespective to learing method while using a Game for learning proccess. This is a good opportunity for lecturer and theacher to increas and update their learning instrument that can be used. Some studies about game founded the approach of through the medium of games of the match learning in a significant way capable of effecting the improve achievement , the motivation to study , and the level of satisfaction in the style of of students to study. This study focused on increasing students nationalism through the game base learning in learning procces for Senior high students where players trained to make a deccision, analyze, and decide own attitude in the games. This game based learning research apply for learning nationalism lessons consists of four phases, design phase, data collection stage, the analysis and discussion stage phase, the documentation and research results phase. To stage of game design base learning with learning and analysis mapping game mechanics for serious games analysis (LM-GM) as the mapping of learning in the game. The purpose through this game is learning from the game play can be shown that the approach proposed effectively gives understanding of learning that given. In addition, also found that game is can help students studies learning the history.
Model of parameters for identification of functional security profile in computer systems

One of the key tasks during the state examination is the identification of the functional security profile (FSP). During the examination, the types of information that is processed and the risks of its loss, modification or disclosure are evaluated. For this, the FSP is being built, which contains the lists and levels of functional security services (FSS) required to ensure an acceptable level of information security. To determine the completeness and consistency, the rules for the construction of the FSP should be taken into account, and the automation of this process is linked to the relevant rules. The FSP itself is a key element in conducting state examinations, and its analysis of compliance with a regulatory document is one of the most important tasks. To solve the problem of identifying the FSP, it is necessary to: determine the levels of FSS, implemented integrated information security systems (IISS) of the object of examination; determination of the completeness and consistency of the profile; identification of the description of the FSS in the source documents. With this in mind, a model of parameters was proposed for the identification of the FSP in computer systems (СS) which due to the theoretical and multiple representation of certain sets of criteria for information security, their elements and corresponding levels, allowed to formally form the necessary set of values for the implementation of the process of identification of FSP in the CS. A definition is given for the sets of criteria, their elements and levels. All this made it possible in a formal form to form the necessary set of quantities for the implementation of the identification of FSP in the CS. The development of these works is the development of a method for identifying FSP. This will automate the process of determining of the requirements of the regulatory document regarding the protection functions (security services) and guarantees.
Pengaruh Penyuluhan Makanan Jajanan Dengan Metode Permainan Ular Tangga Terhadap Pengetahuan Anak Sekolah Di SDN 2 Kuta Kabupaten Lombok Tengah

Background: Based on the results of basic health research (RISKESDAS) in 2013, in NTB in the age group 10 years and over, having a risky dietary consumption behavior is by consuming sweet foods 32.3%, salty 10.9%, fatty 26.1 %, burned 5.6%, animal preserved 4.4%, flavored 84.8%, coffee 37.5%, caffeine besides coffee 4.3% of their daily needs. Based on data from preliminary studies at SDN 2 Kuta, getting from 43 children as many as 41 children the knowledge of snack foods is in the less category, namely 95.3% and only 2 children from 43 children who have knowledge of snack foods are in the sufficient category of 4.7 %.Objective: To find out the influence of snack food counseling with the method of snake and ladder games on the knowledge of school children in class V students.Method: Using a quasy experimental non equivalent control group, with a sample of 22 people. Collecting knowledge data obtained from questionnaires, data is processed descriptively. Analysis using the independent T-test and paired t-test.Results: The results of this study indicate that street food counseling using the snake ladder method has a significant influence on the knowledge of school children (p value = &lt;0.005)Conclusion: Extension of snack foods using the snake ladder method has an influence on the knowledge of school children at SDN 2 Kuta Central Lombok Regency.
Channel and Constraint Compensation for Generative Adversarial Networks

In this paper, we propose channel and constraint compensation mechanism applied in Generative Adversarial Networks (GANs) to help distribution fitting and improve the visual quality of generated samples. The proposed channel compensation focuses on specific feature-related regions by weighting the channel of conv-layer feature maps, so specific feature modes of data distribution can be compensated and irrelevant features can also be decayed. By combining the Jensen-Shannon (JS) divergence and Wasserstein distance (WD) into a well-designed objective function, the constraint compensation can impose more useful constraints upon the generator to diversify the estimated density in capturing multi-modes. Extensive experiments are conducted on synthetic 2D data and real-world datasets (CIFAR-10, STL-10, CelaBa). The qualitative and quantitative comparisons against baselines demonstrate the effectiveness and superiority of our method.
WAAC: An End-to-End Web API Automatic Calls Approach for Goal-Oriented Intelligent Services

Web API recommendations have recently been studied extensively. However, recommending an API for a service is different than service intelligence. Web API automatic calls are widely used in question–answer dialog applications and service-composed workflow systems to achieve intelligent services. To finish an automatic Web API call not only requires the Web API ID, but also its input parameters. In this paper, we propose an end-to-end Web API automatic calls approach, named WAAC, that translates a goal’s natural language sentences directly to the Web API invoking sequences including its ID and parameters. This end-to-end approach based on the seq2seq encoder–decoder framework, adopts character-level RNN for the Chinese sentences and introduces a copying mechanism to retrieve API parameters. To train the network, a Chinese version dataset of over 1 million natural sentences and API invoking sequence pairs are generated with some manually labeled data and 72 real Web API invoking logs. Experiments obtain a 96% precision on predicting API invoking sequences and show that the character-level RNN and copying mechanism both contribute considerably to achieving a high precision Web API automatic call system for goal-oriented services.
Teaching Material Development of Explanation Text Based on Multiple Intelligences on 11th Grade Students in Vocational High School 1 Padangsidimpuan

This study aims to (1) describe the process of developing explanatory text teaching materials based on multiple intelligences, (2) describe the feasibility of explanatory text teaching materials based on multiple intelligences and (3) describe the effectiveness of explanatory text teaching materials based on multiple intelligences. This research was conducted in 11th grade of vocational high school 1 Padangsidimpuan. The research method used is the Research and Development research method which refers to the Borg and Gall model. The results showed that (1) the process of developing teaching materials was carried out in three stages, namely preliminary studies, product development and trials. Based on the analysis of the needs, 100% of the teachers and students need data obtained from other teaching materials in explanatory text learning, product development is carried out with expert and material validation, and individual product trials score 88.89 in the excellent category, small group trials score 92, 75 with a very good category and limited field trials obtained a score of 94.75 with a very good category. (2) teaching material is declared feasible with 84.56% content eligibility percentage, 94.23% presentation eligibility, 93.27% language assessment, 96.88 multiple aspects intelligence feasibility and 84.17% graphic assessment. (3) teaching materials are declared effective for use in 11th grade students of vocational high school 1 Padangsidimpuan with an average of 60.63 pretest learning outcomes and 80.94 posttest. The results of this study prove that explanatory text teaching materials based on multiple intelligences are feasible, easy and effective to use in learning in 11th grade of vocational high school.
Pronoun Disambiguation: with Application to the Winograd Schema Challenge

A value-based approach to Natural Language Understanding, in particular, the disambiguation of pronouns, is illustrated with a solution to a typical example from the Winograd Schema Challenge.The worked example uses a language engine, Enguage, to support the articulation of the advocation and fearing of violence.The example illustrates the indexical nature of pronouns, and how their values, their referent objects, change because they are set by contextual data.It must be noted that Enguage is not a suitable candidate for addressing the Winograd Schema Challenge as it is an interactive tool, whereas the Challenge requires a preconfigured, unattended program.
High-Dimensionality Graph Data Reduction Based on Proposing A New Algorithm

In recent years, graph data analysis has become very important in modeling data distribution or structure in many applications, for example, social science, astronomy, computational biology or social networks with a massive number of nodes and edges. However, high-dimensionality of the graph data remains a difficult task, mainly because the analysis system is not used to dealing with large graph data. Therefore, graph-based dimensionality reduction approaches have been widely used in many machine learning and pattern recognition applications. This paper offers a novel dimensionality reduction approach based on the recent graph data. In particular, we focus on combining two linear methods: Neighborhood Preserving Embedding (NPE) method with the aim of preserving the local neighborhood information of a given dataset, and Principal Component Analysis (PCA) method with aims of maximizing the mutual information between the original high-dimensional data sets. The combination of NPE and PCA contributes to proposing a new Hybrid dimensionality reduction technique (HDR). We propose HDR to create a transformation matrix, based on formulating a generalized eigenvalue problem and solving it with Rayleigh Quotient solution. Consequently, therefore, a massive reduction is achieved compared to the use of PCA and NPE separately. We compared the results with the conventional PCA, NPE, and other linear dimension reduction methods. The proposed method HDR was found to perform better than other techniques. Experimental results have been based on two real datasets.
Safe and Interactive Autonomy: A Journey Starting from Formal Methods (Keynote)

Todays society is rapidly advancing towards autonomous systems that interact and collaborate with humans, e.g., semiautonomous vehicles interacting with drivers and pedestrians, medical robots used in collaboration with doctors, or service robots interacting with their users in smart homes.With the emergence of autonomous systems in our every day lives, we need to design algorithms and tools that enable safe and seamless interactions with people.In this talk, I will start with my journey in providing safety for human-robot systems by discussing a spectrum of views on safe autonomous systems including a formal methods perspective for synthesizing provably correct controllers, a robust control approach, and more recent advances in safe learning and verification.I will then discuss one of the main challenges of safety of human-robot systems, i.e., studying how robots influence humans actions in one-on-one or group settings.This is usually overlooked by assuming humans act as external disturbances just like moving obstacles, or assuming that automation can always help societies without actually considering how humans can be impacted.I will talk about our recent work in building computational models of human behavior from expert demonstrations and preferences in interaction with autonomous systems and challenges it introduces for safety and robustness verification.
Image inpainting using layered fusion and exemplar-based

Based on the original exemplar-based Criminisi algorithm, we proposed two points to improve the result of image inpainting. First, in order to solve the problem that the searched matching block existing in the optimal block search is not optimal, this paper proposes a fusion repair strategy. The first n blocks are selected as matching blocks in the search of the optimal block, and then the weighted averages are performed on the matching blocks, which is used as the target block to be repaired. Second, considering the size of the block to be repaired, a layered repair strategy is adopted. An image to be repaired is first downsampled to obtain images at different scales, and then repaired from the topmost image. The experimental results show that the proposed algorithm improves the quality of the repair subjectively and objectively.
Apologies In “Whatsapp” Produced By Japanese Department Student Of Universitas Muhammadiyah Yogyakarta

(Title: Apologies In “Whatsapp” Produced By Japanese Department Student Of Universitas Muhammadiyah Yogyakarta) This paper discusses an apology in Whatsapp by Japanese Department Students of Universitas Muhammadiyah Yogyakarta in several situations use semantic formula. In era digital, Many of them always deliver their message to Whatsapp. They use Whatsapp for sharing information, expressing gratitude and apologies to their friends and teachers. Expressing apologies via Whatsapp is different from expressing it directly. Writing using Whatsapp will be more creative by using emoji or kaomoji based on the situations. Besides that, they usually abbreviate their writing on Whatsapp. The purpose of this research is to know how Japanese Department Students of Universitas Muhammadiyah Yogyakarta expressing apologize via Whatsapp in several situations to the teacher, seniors, and friends. Do they use emoji or kaomoji and how they write an apologizing with the Teacher, Seniors, and Friend? This research uses a descriptive method with qualitative approaches since analyzed descriptively with the qualitative method. The method of analysis used the semantic formula to classify apologies based on the situation. The result of this research is the student’s tendency most of them use In-speech act instruction designation (apology content, appreciation, etc.) and they not so using emoji to express apologies to teachers.