Reviewerly/exHarmony huggingface dataset:
Using Customer Emotional Experience from E-Commerce for Generating Natural Language Evaluation and Advice Reports on Game Products

Investigating customer emotional experience using natural language processing (NLP) is an example of a way to obtain product insight. However, it relies on interpreting and representing the results understandably. Currently, the results of NLP are presented in numerical or graphical form, and human experts still need to provide an explanation in natural language. It is desirable to develop a computational system that can automatically transform NLP results into a descriptive report in natural language. The goal of this study was to develop a computational linguistic description method to generate evaluation and advice reports on game products. This study used NLP to extract emotional experiences (emotions and sentiments) from e-commerce customer reviews in the form of numerical information. This paper also presents a linguistic description method to generate evaluation and advice reports, adopting the Granular Linguistic Model of a Phenomenon (GLMP) method for analyzing the results of the NLP method. The test result showed that the proposed method could successfully generate evaluation and advice reports assessing the quality of 5 game products based on the emotional experience of customers.
Stylized Sketch Generation using Convolutional Networks

The task of synthesizing sketches from photographs has been pursued with image processing methods and supervised learning based approaches.The former lack flexibility and the latter require large quantities of ground-truth data which is hard to obtain because of the manual effort required.We present a convolutional neural network based framework for sketch generation that does not require ground-truth data for training and produces various styles of sketches.The method combines simple analytic loss functions that correspond to characteristics of the sketch.The network is trained on and evaluated for human face images.Several stylized variations of sketches are obtained by varying the parameters of the loss functions.The paper also discusses the implicit abstraction afforded by the deep convolutional network approach which results in high quality sketch output.
Survey on Sql and NoSql Types of DataBase Management System Softwares

A collection of information or data is stored in a database and database management system is a software which is used to handle the database. The main purpose of database management system software is to insert, delete, update, and retrieve the information or data in a secure manner. There exists various database management system software is available such as Oracle, MySql, Mongo etc. therefore it is difficult for user to choose the suitable Database Management System software which benefits for his applications. In this paper the role of Sql and NoSql databases such as Oracle, MySql, and Mongo Database ManagementSystem software is discussed also the comparison of above stated database management system software is being carried out to identify the suited software depending upon application for identification which one is beneficial or useful for which applications.
Evaluating Forestry Holding of Cendana Library’s Collection Using Conspectus

Background of the study: Evaluating collection is required by libraries to assess the strengths and the weaknesses of collections. This research gives a benefit for libraries to improve their collection development policies. Thus, the libraries can provide adequate numbers of collections to meet the patrons’ demands.Purpose: The purpose of this report is to evaluate the forestry holdings in the Cendana library of Forest Research Institute Kupang (FRIK) by using conspectus.Method: This research is an explanatory study cases in order to describe strength and weakness of forestry holding at Cendana library. The evaluator uses the Australian conspectus due to relevancy. The conspectus has several techniques for collecting data. A checklist is used by evaluator to evaluate monographs and electronic books. In addition, the evaluator evaluates the existing collection strengths (ECS), chronological coverages, languages, and physical conditions. The evaluator records these components into the evaluative worksheet.Findings: The result reveals that the forestry holdings in Cendana Library of Forest Research Institute Kupang (FRIK) has conspectus levels in 1b. Although type of the languages become a strength, but the quantity is a weakness. The data shows that the size level of forestry holdings in the Cendana Library of Forest Research Institute Kupang (FRIK) is in the level 1 b.Conclusion: In conclusion, the collection weakness is in books’ quantities. The limited number of forestry books enforces the conspectus levels of forestry holdings in a low level (1b). Meanwhile, strengths of existing collection are the equal portions between foreign language in English and Bahasa and the physical condition of books. It is recommended that Cendana' library should increase the numbers of collections through procurement or book’s exchange program.
Modern requirements to teaching statistics

Problem. The statistical analysis of the changing and uncertain information is an increasingly important component of decision making in the modern world. Therefore, the necessity to develop statistical thinking of students of all levels of education has grown significantly. The "statistical literacy" of students is a relatively new term in statistics education research which needs special attention. Goal. The purpose of this article is to attract attention to the problems of teaching modern statistics to university students which is necessary to meet the requirements of statistics knowledge in today’s information world, and to comprehend the matter of the term "statistical literacy" of students in modern understanding of these words, to understand what should be considered as the desired outcomes of the statistic education. Methodology. The results presented in this paper were obtained by the analysis of the existing methodological investigations in the modern statistics education with the emphasis on the development of the students’ statistical thinking and reasoning, and on the ability to apply their knowledge in statistics in fulfilling the professional tasks. Results. Application of new pedagogical techniques in the statistics education is of paramount importance for the development of students' statistical thinking and reasoning. It is important for students to develop statistical thinking by combining abstract conceptions of statistics with the actual content of information to which statistical analysis is applied. The statistical reasoning of the students can best be assessed through oral discussions or detailed student work with professional content. For deeper understanding of statistical concepts, it is important to simplify learning rather than extending the educational program. Students should be encouraged to explain their reasoning, to mutually criticize arguments and to find new ways of solving problems. They should be encouraged to ask «why» rather than «how», and pushed to substantiate their thinking process and, by this means, modern understanding of statistics will be provided. Originality. Training engineers as sufficiently informed workers capable of making correct decisions requires educations in the area of methods of modern statistics in close connection with professional education. Practical value. Summing up, it has been proved that one of the most important tasks of the students’ education in statistics is, first of all, to develop their understanding of the practical necessity and economic feasibility of using statistics in their future professional activities, to develop their statistical thinking, and to learn how to use the methods of mathematical statistics for analyzing professional information.
Overview of Semantic Information Applications for Robots

Semantic information can express a large amount of knowledge in a simple way. Nowadays, semantics has been applied to many aspects of robotics, such as path planning, search and rescue, factory production and daily life services. This paper mainly summarizes several aspects of robots applying semantics. It mainly includes the expression of semantic knowledge, robot semantic coordination, and the functions of robot which application semantics. Finally, this paper summarizes the current hot issues.
Precise Vehicle Localization based on Graph Optimization with Time-Relative RTK–GNSS

The global navigation satellite system (GNSS) has recently been used for the autonomous control of unmanned vehicles. However, GNSS data is not utilized to its full potential for autonomously navigating vehicles in urban environments. This is largely owing to the possibility of the degradation of GNSS observables (e.g., multipath and poor satellite geometry) in an urban environment. The GNSS Doppler frequency can be used to derive an accurate velocity without the requirement for a base station. This velocity is quite tolerant to the strong multipath condition as compared with the GNSS pseudorange-based position solution. Thus, the Doppler velocity can be used to estimate vehicle trajectories. However, positioning errors accumulate over time owing to the error in the estimated Doppler velocity. To overcome the aforementioned issues, we leverage the advances made within the robotics community surrounding the pose-graph-based optimization and localization technique. The main idea of this study is that a loop closure of the pose graph is generated from a time-relative real-time kinematic GNSS (TR-RTK–GNSS) technique. The TR-RTK-GNSS is based on time-differential carrier phase positioning, which is a method comprising the implementation of a precise carrier-phase-based differential GNSS with a single low-cost GNSS receiver. As compared with the conventional RTK–GNSSs, we can directly compute the vehicle relative position using only a stand-alone GNSS receiver. The initial pose graph is generated from the accumulated velocity computed using a GNSS Doppler measurement. To cancel the accumulated error of the velocity, we use the TR-RTK–GNSS as the loop closure in the graph-based optimization frameworks. To confirm the effectiveness of the proposed technique, two kinematic positioning tests were performed using an unmanned aerial vehicle and a ground vehicle. In conclusion, we can estimate the vehicle trajectory with centimeter accuracy in an open-sky environment and with a few tens of centimeters accuracy in an urban environment using only a stand-alone GNSS receiver. Based on the test results, we concluded that the proposed technique is effective for estimating the precise vehicle trajectory.
Effect of Extraction Treatment on MOR and MOE Binder Less Particle Board From Coconut Fiber

This research is to develop environmentally friendly particle board and technology and products, both in terms of raw materials and also process technology and products that will be produced.In terms of raw materials, coconut fiber is used from smallholder estates, while in terms of technology and products, we have developed a technology for making binder less particle board.The physical and mechanical properties in particular the MOR and MOE values of the binder less particle board are strongly influenced by the preliminary treatment and forged time.The effect of preliminary treatment of raw materials from binder less particle board coconut fibber can be known by calculating the MOR and MOE values on the particle board.This research is to find the right way of making particle board without adhesive by doing the extraction process.Methods used are methods without treatment, boiling, steaming and immersion.Characterization includes density, water absorption, thickness, MOR and MOE.The results of this study indicate that steam extraction treatment can increase the MOR and MOE values along with the addition of 10-to 15-minute welding time of 70 kgf / cm 2 to 79 kgf / cm 2 and MOE value of 18,000 -19,300 kgf / cm 2 .
AN ANALYSIS OF FIRST YEAR STUDENTS’ GRAMMATICAL ERROR IN NARRATIVE TEXT, STIBA SARASWATI DENPASAR

Structure is improbable separated with the English literature and this concept should be simply applied for linguists or apprentices in English for Foreign Language and English for Second Language as well. However, in the process of presenting the text using grammar, pupils tend to make inaccurate comprehension frequently. So in this occasion, the researcher analyzed the learners’ grammar mistakes in written text through narrative of 31 apprentices in STIBA Saraswati Denpasar. The method in delivering the result of this article used qualitative research which discovered and explained students’ inaccurate grammar on some typical of structure. The final achievement found by the writer was that more than 50% sample of texts had mistakes on past sentences while the least number of grammar mistakes which on present perfect, simple past: be, preposition plural – singular, modal, gerund, to infinitive, passive voice and subject pronouns were slightly under 49%.
Poster

The rapid advancement of social media and communication technology enables video chat to become an important and convenient way of daily communication. However, such convenience also makes personal video clips easily obtained and exploited by malicious users who launch scam attacks. Existing studies only deal with the attacks that use fabricated facial masks, while the liveness detection that targets the playback attacks using a virtual camera is still elusive. In this work, we develop a novel video chat liveness detection system, which can track the weak light changes reflected off the skin of a human face leveraging chromatic eigenspace differences. We design an inconspicuous challenge frame with minimal intervention to the video chat and develop a robust anomaly frame detector to verify the liveness of remote user in a video chat session. Furthermore, we propose a resilient defense strategy to defeat both naive and intelligent playback attacks leveraging spatial and temporal verification. The evaluation results show that our system can achieve accurate and robust liveness detection with the accuracy and false detection rate as high as 97.7% (94.8%) and 1% (1.6%) on smartphones (laptops), respectively.
Exploring the Data Stream Size using ICBMI and CBMI Algorithm

ICBMI and CBMIboth the algorithms react to changes in the data stream. By entering the second part of the Dataset, as the concept changes, the ICBMI gradually reduces the average of the data stream sizes while the CBMI abruptly reduces the data stream size to remove the obsolete transactions and their effects on the mining result. At this point, for the ICBMI, the average of data stream sizes now contains both these concepts. In fact the ICBMI, for some Missing Data, therefore the max frequency data streams reside in both new and old parts of the Dataset because it considers the complete history of the input stream and does not completely discard the previous concept.
H-index of Translation and Interpreting Journals according to Google Scholar Metrics (2014-2018)

This report presents a ranking of Translation and Interpreting (TI) journals indexed by Google Scholar Metrics (GSM) during the 2014-2018 period. Being the seventh in a collection of working papers that has covered the same data since the 2008-2012 period, it represents an update of the ranking and can be used to compare the evolution of the journals as far as h-index is concerned. GSM poses a series of methodological problems as a bibliometric tool. First, it does not currently allow grouping and sorting all journals belonging to a scientific discipline, since it only shows the 20 journals with the greatest impact by topic, which is measured using the h-index. Second, it only lists journals according to academic disciplines if they are written in English. Last but not least, the nearest area to TI in GSM is Humanities, Literature & Arts, but the list does not contain any TI journal. In order to overcome the above-mentioned limitations, librarians from the Library of Humanities at the Autonomous University of Barcelona used a diversity of search procedures to identify title by title the greatest number of TI journals possible. This search was carried out in July 2018, using keywords in different languages (including Chinese, Korean and Japanese) and Boolean operators. However, from an initial list of 148 titles provided by the Department of Translation and Interpreting and East Asian Studies of the same university, only 41 titles had a h5-index, which means that GSM only covers 27,7% of all active TI journals. In this sense, it must be reminded that GSM only takes into account journals that have published at least 100 articles during the analysed period and that have received at least one citation. Journals are sorted according to their h5-index in descending order. In case of draw, the discriminating value is the h5-median
Modification of Species-Based Differential Evolution for Finding All Solutions of Systems of Nonlinear Equations

Nowadays the root finding problem for nonlinear system equations is still one of the difficult problems in computational sciences.Many attempts using deterministic and meta-heuristic methods have been done with their advantages and disadvantages, but many of them have fail to converge to all possible roots.Differential Evolution (DE), a random search techniques using vector as an alternative solution in the search for finding all ofthe real roots from the system of nonlinear equations.Species-based is one of the methods niching the building sub-populations or species in the area with species-seed functions as its center.This study will describe the modification of existing species-based previously to reduce the computational complexity and run more efficiently.The results of the test function shows species-based modifications can localize all potential roots with one running the program
Analysis and Research on the Cultivation of Applied Talents in Local University or Colleges

The idea and strategy of training applied talents in local colleges and universities is analyzed in this paper.It is necessary to strengthen the research on the social needs of applied professionals and study the training standards for undergraduate applied talents.The talent training model is needed to reform by clarifying the orientation of schools.Establishing the application oriented curriculum system based on disciplines, strengthening the construction of teachers, and reforming the talent training model are some main strategies of cultivating talents.It is important to develop a talent training program that meets the characteristics of the university and improve the quality of applied talents.1.
The Effectiveness of Learning Experience Approach to Improve Reading Ability of Dyslexic Children

Dyslexia is a specific learning disability derived from neurological.This is characterized by the difficulty of recognizing an accurate word and poor spelling and decoding ability.This research aims at determining the effectiveness of the language experience approach to improve reading skills of dyslexic students.This research is an experimental research in the form of Single Subject Research which applies ABA design.The subjects of the research are two second grade dyslexic students.The data were collected using the test works technique and analysed using descriptive statistics technique.The result of the data analysis shows that the language experience approach is proven to increase the average score of the two subjects.In the baseline 1, the average score obtained by YD was 34.6.After the intervention was given, YD obtained 43.9.In the measurement in baseline 2, YD final score increased to 51.7.Meanwhile, the average score obtained by BT in the baseline 1 was 36.3.After the intervention was given, BT obtained 42.5.Finally, in the measurement in baseline 2, BT final score increased to 49.7.In conclusion, the use of the language experience approach is effective at improving reading ability of second grade dyslexic students.
Review of methods for Handwritten Character Identification using Optical Character Recognition (OCR)

It is very hard to recognize handwritten character using optical character recognition. Also it is very difficult to convert handwritten image into text format. Optical character recognition has become one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. OCR is a widespread technology to recognize text inside images, such as scanned documents and photos. This paper gives the survey of different techniques used by the researcher for dynamic pattern and character recognition.
Using Deep Learning to Recognize People by Face and Voice

There are many ways to build a person identification system and those systems can be used for authentication and security. The latest phones for example, bring fingerprint readers to enhance the user experience. From our perspective on Neural Networkswe determine that Machine Learning is enough to guarantee someone’s identity without the need of any specific sensors other than a camera and a microphone. It is achievable with pictures of their face, sounds of their voice and Deep Learning. This work presents a study to build an application to allow biometric authentication using only multimedia and Deep Learning.
ENGLISH LANGUAGE EDUCATION IN EARLY CHILDHOOD THROUGH THE CHILDREN’S SONGS

The development of the global world has demanded the children of today to grow faster and compete more closely. One ability they should have to be able to compete with the globalization is ability to communicate in English. As we know that the ability of children to absorb a variety of information around it is extraordinary. So, when we want a child can have a good ability in communicating with English, English learning should be done since the early phase. But in practice, there are some obstacles encountered such as the children difficulty in understanding the subjects of this foreign language. This is reasonable because the position of English in Indonesia is as a foreign language. To overcome these obstacles, it requires effective learning techniques, appropriate, and interesting so that learners are motivated to learn this foreign language. To create a fun English classroom atmosphere, one of them is with the use of songs for learning media. Keywords: English Education, Early Childhood, Songs
Penerapan dan Pengaplikasian Metode Recorded Material Untuk Listening Skill dalam Kegiatan “English Day” Di MA Sunan Giri

This Program called “Pengabdian kepada Masyarakat”, this is the program with the target of the research are teachers and students at MA Sunan Giri, Gondang, Tulungagung. The purpose and benefits of this programs is to run and use a new material in teaching and learning by teachers, especially teachers who teach English subjects in order to apply easy methods in Listening. This research apply the new media such as recorded material in application of listening aspect. This material or in this research called recorded material consist of several listening material in audio and audio visual . By practicing and applying this material student can easily learn English especially in listening aspects. The students can learn English by using recorded materials in several types of listening media. With this method they can fell fun and enjoy during the classroom activity. While this methods is interactive and interesting to applied.