Reviewerly/exHarmony huggingface dataset:
Automatic Identification of Compare Paper Relations

One important issue in performing a good research is to compare their current research with results of others.However, the comparison requires two or more papers to form a so-called compare-paper relation.This comparison can be identified based on their citation context, that consist of high number of sentences, rather than through basic features such as N-Gram.To investigate the relationship between papers, Wang et al. and several other researchers have applied the cue phrase feature, which was obtained via a manual analysis of a data set of scientific paper.Furthermore, a more complex feature was proposed by Park and Black for the same purpose.Nevertheless, they were unable to investigate accurately such relation, since their features are not made specifically for this purpose.In this paper, we propose new features that specifically intended to identify the relationship of papers or compare-paper relation.The experimental results show that the proposed features result in much better performance compared to the experiments by using the best baseline feature.By using 6 different classifiers, the experimental results also show that maximal values result in best values for each classifier.Moreover, other experimental results show that the best performance is obtained by combining the baseline features and the newly developed features, which shows that they are mutually reinforcing.
The Development of Decision Support Systems in the 1960s as Antecedent of “AI-Rationality”

The decision making process in a given game is usually organized in binary form and oriented toward a final and finite set of goals. This determinative action shapes the game on both formal and ludological levels. At the same time, however, the computer (or better, the algorithm) is also a decision making machine: the deeply logical calculus of the code and the program do not seem to know any 'perhaps'—the system works (literally) according to the logic of 'or', which represents one of the central elements of digital computing. The decision rationality of computers (at the heart of computer games) is characterized by simplification, reduction, symbolic coding, and also by a dynamic of action and reaction (in the sense of decision and consequence). Such observations about the consequential logic of game-based AI inevitably lead to one grand question: Who is the primary decision maker in games—the player or the machine?
Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.
A Modified Approach for the Removal of Impulse Noise from Mammogram Images

This paper proposes an integrated approach for removing impulse noise from digital mammograms, which employs a detection method followed by a filtering mechanism. This detection is done using Modified Robust Outlyingness Ratio (MROR) mechanism and a subsequent filtering by an extended Non Local means (NL-means) framework. The pixels in mammograms are grouped into four different clusters based on MROR value, following which different decision rules are applied, to detect the impulse noise in each cluster. The NL-means filter is extended by introducing a reference image obtained from the two stage process. The performance of the proposed filter was evaluated quantitatively and qualitatively by experimental analysis and the results were compared with several existing filters. The results show that the proposed method outperforms standard procedures for impulse noise removal, even for high noise levels.
Mengembangkan Sikap Rasa Ingin Tahu (Curiosity) Pada Pelajaran Fisika Menggunakan Model Pembelajaran Flipped Classroom

Curiosity is one of the attitudes that needs to be developed in learning activities. This research proved hat students' curiosity can be developed by selecting appropriate learning models. The flipped classroom learning model is one of good models to develop curiosity. In this research the action research (CAR) class has been chosen as a research method to analyze the increase in curiosity and the value of learning outcomes in class 12 Physics learning activities. The treatment given is to provide opportunities for students to study independently outside the school schedule to study the material provided and find out all forms of information needed. Students have the opportunity to work together in class giving reports on their learning outcomes by making presentations in class. The instrument used for part of the data collection technique is in the form of observation sheets, questionnaire sheets and question sheets containing questions in accordance with the material being studied. The data analysis technique was carried out using descriptive and quantitative qualitative analysis. The results of the research show that students' curiosity and student learning outcomes can be improved by using these learning models. The obtained data analysis of the also shows that the implementation of the flipped classroom learning model provides very significant benefits.
PENGEMBANGAN MEDIA PEMBELAJARAN BAHASA INGGRIS DASAR BERBASIS ANDROID UNTUK KELAS V SEKOLAH DASAR

This research aimed to produce an English learning media based on Android for grade V of elementary school students. This research belongs to Research and Development. In its implementation, this research has two steps such as pre-production and production. In the pre-production consists of planning, idea concept, research/visual analysis, designing menu plot, and asset making. In the next step that is production consists of arranging asset, adding action script for navigation of the media, and rendering the media. The result of this research is a learning media based on Android that later can be used in the English learning process in the classroom. The materials chosen in this media are in the form of basic materials for English, those are the introduction of Noun, Verb, and Adjective. In the Menu plot, first started with Intro, then enter the Menu Page, where in Menu Page there are three choices, those are Verb, Noun, and Adjective materials. From each material, there are nine examples of pictures for each category based on topic. This learning media based on Android will become an effective media that can be used in the learning process that later make the learning process become interactive, interesting, and a lot of fun. The next development is by doing affectivity test for the existing media. This affectivity test is done for the next media development.
Practical Discussion of Output Oriented Method in English Major Teaching

China's education has always been the focus for all sectors of society, and the education reform has been going on an in-depth process. Therein English major has made good progress in teaching reform, and is the focus for the education sector and the public. At present, colleges and universities in our country are facing some prominent problems. They are the phenomena that many colleges and universities have always attached great importance to language education and paid not enough attention to the ability of language communication, and paid too much attention to the explanation process and lack of training. Only the overall reform and development can make the teaching effect reach a satisfactory level. By promoting students to obtain good achievements, we can carry on long-term development in the new background and new era. Output oriented method is a new word with strong timeliness. It can improve the comprehensive quality of students to a certain extent. At the same time, it can promote the teaching quality in a certain sense, and has a positive role.
Shift Happens: Adjusting Classifiers

Minimizing expected loss measured by a proper scoring rule, such as Brier score or log-loss (cross-entropy), is a common objective while training a probabilistic classifier. If the data have experienced dataset shift where the class distributions change post-training, then often the model’s performance will decrease, over-estimating the probabilities of some classes while under-estimating the others on average. We propose unbounded and bounded general adjustment (UGA and BGA) methods that transform all predictions to (re-)equalize the average prediction and the class distribution. These methods act differently depending on which proper scoring rule is to be minimized, and we have a theoretical guarantee of reducing loss on test data, if the exact class distribution is known. We also demonstrate experimentally that, when in practice the class distribution is known only approximately, there is often still a reduction in loss depending on the amount of shift and the precision to which the class distribution is known.
Power Assistance for an Electric Wheelchair on a Steep Slope and the Automatic Adjustment of its Assistive Ratio

In this paper, an electric wheelchair with a low-cost force sensing mechanism was developed for power assistance on a steep slope. Steep slopes can be found in mountainous areas and so on. In particular, 17° slopes have been used in some mobile examination cars, in which, two or three staffs have to push and pull a wheelchair so that it can enter the car and enable medical examinations to be conducted. However, most electric wheelchairs in the market cannot climb such a steep slope. Therefore, in this study, we first developed an electric powered assistive wheelchair for such steep slopes and then proposed extended admittance control to provide assistance when climbing such slopes. The extended admittance control can distribute the burden due to the gravity of the entire wheelchair and the rider to the caregiver and the electric wheelchair. Meanwhile, an automatic parameter adjustment method was proposed for deriving the maximum power of the motor for assistance according to the weight change of the wheelchair and the rider. Verification experiments were used to evaluate the proposed assistive control, and its effect was verified.
Cross-domain Ontology Construction and Alignment from Online Product Reviews

Online customer product reviews often contain detailed sentiment attitudes towards different aspects of products and these online opinions help potential consumers to be familiar with products. The introduction of well-constructed domain ontology from online product reviews helps potential consumers to obtain relevant information about products quickly. Nonetheless, they may compare products in multiple domains for purchase decisions. On this basis, the comparison of products in different domains induces that ontology alignment becomes a fundamental task to form a cross-domain ontology. In this paper, a series of natural language processing approaches are applied to construct two domain ontologies from online product reviews automatically. Next, a new ontology alignment method is proposed for consumers to make purchase decisions regarding cross-domain product comparisons, in which a semantic-based algorithm and a structure-based algorithm are integrated to form a cross-domain ontology. Categories of experiments were conducted on reviews of smartphone and digital camera. Compared with benchmarked alignment tools, the proposed method performed 5% better in terms of F1 on ontology alignment. Finally, a case study with a customer friendly website is illustrated to present how the alignment of cross-domain ontology help consumers on purchase decision support.
Reputation Analysis of E-commerce Products Based on Online Reviews—Take Amazon as an Example

Based on the product review information of amazon from 2006 to 2016, this paper measures the correlation between star rating and text review. First, a supervised SVM model was established to classify text emotions. Second, the word2vec model was built to analyze the unsupervised emotion of the comment text. Third, the relationship between the special text and the score is obtained by using the grey metric model. In addition, the article has also carried on the principal component analysis to the commodity reputation, and has determined the representative good commodity and the inferior commodity. Finally, this paper puts forward some Suggestions for merchants, e-commerce platforms and governments.
Distance Matrix Based Keypoint Selection for Bag-of-Visual Words Model on Image Classification

Bag-of-visual words (BoVW) becomes the most popular approach for local features extraction in image classification.A large number of keypoints lead to high computational costs of visual words generation.Iterative keypoint selection (IKS) as the baseline method has been proposed to reduce the number of keypoints by selecting the representative keypoints.However, random initial keypoint of IKS leads to non-repeatable results.Thus, this paper proposes a distance matrix based keypoint selection (DMKS) algorithm to reduce the number of keypoints.The novelty of this algorithm is the number of representative keypoints can be adjusted to obtain a high classification accuracy and the algorithm does not need random initial keypoints.The performance of proposed algorithm is then compared with that of IKS1 and IKS2.Support vector machine (SVM), K-Nearest Neighbor (KNN), and deep learning (DL H2O) classifiers are used to evaluate the algorithms on the public datasets.On Coil-100 and Caltech-101 datasets, DMKS achieves classification accuracy of 90.22% and 41.99%, respectively.Although the accuracy of DMKS is slightly increase, the processing time of DMKS is faster than the baseline methods.DMKS also produces a smaller number of representative keypoints, therefore DMKS can reduce the time-consuming of visual words generation more effectively in BoVW model.
Students’ Speaking Problem at the Fourth Semester of English Study Program in Sembilanbelas November Kolaka

ABSTRACTThe objectives of this research were to find out the students’ speaking problemsat the fourth semester of English Study Program in Sembilanbelas November University and factors affecting them. This research employed case study with qualitative approach. There were 26 participants at class A of the fourth semester in English Study Program. Those participants were selected through purposive sampling technique. To gain the data interview, observation sheet, and students’ transcript report were used. The result showed that there were four problems that were experienced by students at the class A fourth semester first was inhibition, when speaking the students tend to be worried about making mistake, getting criticism from others, and shyness. The second was lack of ideas; the students tend to be silent participants in speaking due to lack of vocabulary and grammar. The third was low or uneven participation in speaking. Here, only few students participate the speaking activities while other remaining silent. And the last was students got difficulty to speak because of the influencing of mother-tongue use. There were two factors affecting the students’ speaking ability such as internal and external factors. The internal factors here the students have low motivation in speaking while the external factors were the students’ condition in the classroom
VLOG AS LEARNING MEDIA TO TRAIN ENGLISH FLUENCY AND PUBLIC SPEAKING SKILL

The collaboration of technology and media can have positive effects on teaching and learning. In modern teaching traditions, teachers must include technology into their teaching and must be able to select a suitable media so they can deliver lessons in the classroom effectively and can achieve the learning goal. This study is going to explore and elaborate the effectiveness of incorporating technology in learning process by using a media to get more engaging learning situation and to know its impacts to the students’ learning achievements, especially to their fluency and public speaking skill. To be specific, this study is trying to implement Video Blog (Vlog) as learning media in English speaking subject. The results of the observation show that, training students’ fluency and public speaking by implementing Vlog as learning media give positive impacts to the students. Vlog increases students’ encouragement in speaking. Vlog can provide fun and enjoyable learning process and it can build confidence.
Machine Learning Model for Personalizing Online Arabic Journalism

The paper discusses a model of generating dynamic profile for Arabic News Users, capturing user preference by analyzing his review of historical news, and recommend him news as soon as he creates account on News Mobile App, Preference is calculated based on article main keywords score, which is extracted from article headline & body as NLP (Natural Language Processing), when user reads an article, its keywords are calculated with rate of interest to his profile.Machine Learning techniques are used in the proposed model to recommend user the relevant news to his preferences and provide him personalization.The model used hybrid filtering techniques to recommend user suitable articles to his preferences, as Content-Based, Collaborative, and Demographic filtering techniques with KNN (K-nearest neighborhood).The model combined between those techniques to enhance the recommendation process, after recommendation happened, that the model tracks User behavior with the recommended articles, whether he reviewed it or not, and the actions he did on the article page to calculate his rate of interest, then dynamically updates his profile in real time with interested keywords score , thus By having User profile and defined preference, the model can help Arabic news publisher to classify users into segments, and track changes in their opinion and inclination, using observation method of read news from different user segments, and which articles attract them, thus it leads publishers to visualize their data and raise their profitability, and to follow the international trend in e-journalism industry to be a data driven organization.
Interactive Visualization Tool as an Element for Planning Educational Solutions on the Digital Footprint of Companies

The results of designing a tool for supporting interactive planning of the formation of hard, soft, and digital competencies (HSDS) in the educational community have been provided.The main characteristics of the position (HSDS, length of service, salary, etc.) that the graduate will apply for have been identified on the basis of the formation of a digital footprint of companies.The paper provides an overview of domestic and foreign software apps to support educational solutions in a pair of "Student-Lecturer" stakeholders.The paper presents a schematic diagram of an interactive tool for planning the educational process based on the formation of a digital footprint of companies as part of the placement of information about employers' vacancies on aggregator websites.The result of displaying an interactive map on a specific example has been justified and provided.
Analysis of Readability Discourse Level and Authenticity of “Sahabatku Indonesia” for BIPA Level C1 Textbook by Indonesia’s Language Agency Based on the Fry Chart

One of the requirements for a good textbook is to have the adequate readability discourse level.BIPA Textbook published by Indonesia's Language Agency needs to be investigated whether it has good readability level.Therefore, this study aims to measure the readability discourse level in the BIPA textbook which is considered to have one of discourse readability requirements.In addition, this study also examines the authenticity of the discourse of the book.The researchers asses the level of readability using the Fry chart and authenticity study for the analysis of each discourse.This research belongs to quantitative descriptive research.The data source of this research is the whole discourse contained in the Sahabatku Indonesia book published by Indonesia's Language Agency for level C1.The research results using the chart Fry found that five discourses are appropriate for the learning in level C1 BIPA with the category of "need instructional or guidance of the teacher".Related to the level of discourse authenticity, the researchers found three discourse with high authenticity.
Development of Information Culture of Future Teachers in the Conditions of Digitalization of Education

In today's dynamically developing and globalized world, digital technologies are rapidly penetrating into various spheres of human life, and the economy, production, and even the educational space are changing at an unprecedented speed.Digital technologies have had a significant impact on the material and technical equipment of schools, universities, educational programs, forms and methods of teaching.Currently, teachers use digital tools and pedagogical software in their educational programs to individualize the educational space.They use digital technologies when preparing and conducting lessons to improve interaction between all participants in the educational process.Generating, processing and transmitting information is not feasible today without the means of new information technologies.However, each person must have a certain level of culture for handling information, because in the virtual world, the individual's own culture remains almost the only mechanism for regulating human behavior.Information culture is becoming one of the most important components of culture.In this regard, the formation and development of a modern education system is impossible without a high information culture, because education is one of the main forms of translation of cultural values of society.The article considers approaches to solving the problem of developing information culture of future teachers of preschool and primary education.Based on the analysis of the current state of the problem of forming an information-cultural personality, psychological, pedagogical and methodological works, the concept of information culture of a teacher was clarified, its components were defined: value-assessing, cognitive-communicative, effective-practical and reflexive-evaluative.The discipline "Theoretical foundations of formation of information culture of the teacher" was developed, and it includes three modules that contribute to the successful adaptation of students of pedagogical universities in the modern information society and their future effective professional activities in the educational sphere.
Research on Path Planning of Mobile Robot based on A* Algorithm

Path planning is one of the core issues in the field of intelligent robots, and it is also an important aspect in the study of artificial intelligence in robotics.The typical path planning problem refers to how to find the moving path from the starting point to the ending point for the robot in the working environment with obstacles, so that the robot can pass all obstacles safely and without collision during the movement.Firstly, the paper expounds the concept of mobile robot path planning and introduces the current research situation of mobile path planning.Then it introduces the steps of A* algorithm and A* algorithm implementation, and carries out MATLAB simulation experiment.The experiment proves that the A* algorithm can plan the global optimal path and ensure the fastness and accuracy of the path.It has certain reference significance for the future research of path planning.