Reviewerly/exHarmony huggingface dataset:
Identificação de Autor em Manuscritos com Pouco Texto usando Arquiteturas profundas

This work uses deep neural network-based approaches to address the problem of author identification in short handwritten texts.Machine learning using deep architectures has gained prominence in recent years since it has been very efficient in solving problems that were considered difficult.The problem addressed is not simple and has several applications in society.It involves an open topic in academia, in addition to the restricted number of training examples available.The proposed approach obtained promising results in the databases evaluated.
When Green Screen Meets Panoramic Videos: An Interesting Video Combination Framework for Virtual Studio and Cellphone Applications

In this paper, an interesting video combination framework was established based on Unreal Engine 4. By substituting the green screen image with panoramic videos, our framework could produce lifelike synthetic videos in which the foreground is the portrait captured by real-time TV cameras whereas the background is a pseudo scenario generated by previously captured panoramic videos. The pseudo background updates itself from the panoramic video according to the pose information of the TV camera so that the portrait looks as if immersed into the pseudo scenario rather than the green screen. Our proposed framework could be applied not only in virtual studios but also in cellphone applications, e.g., given a previously captured panoramic video of a schoolyard, users could shoot a video by their front cellphone camera before a green screen. The output is a synthetic video which seems as if the users are in the schoolyard, as the users rotate their camera, the schoolyard background also moves.
EMBEDDING FINITE FIELDS INTO ELLIPTIC CURVES

Many elliptic curve cryptosystems require an encoding function from a ﬁnite ﬁeld Fq into Fq-rational points of an elliptic curve. We propose a uniform encoding to general elliptic curves over Fq. We also discuss about an injective case of SWU encoing for hyperelliptic curves of genus 2. Moreover we discuss about an injective encoding for elliptic curves with a point of order two over a ﬁnite ﬁeld and present a description for these elliptic curves.
RANCANG BANGUN APLIKASI MULTIMEDIA INTERAKTIF MOBILE LEARNING MATA KULIAH METODE PENELITIAN FPP UNIVERSITAS NEGERI PADANG

Learning 4.0 refers to 9 IT-based trends and learning. Changes in education gave birth to innovations in the field of education with the aim of improving the quality of education. Information technology as an innovation becomes an educational need. Technology support in the field of education, educators are greatly helped in efforts to improve the quality of learning. The characteristics of mobile devices that have a high degree of flexibility and portability enable students to access material, direction and information related to learning where and at any time. One of them is the use of mobile learning applications. Interactive multimedia applications can be developed into mobile learning applications. The purpose of this study is to produce an application as a learning tool for students of research methods on Android-based smartphones that have material content that is tailored to the SOP of the State University of Padang. This application was developed through the Prototyping development approach with an Android-based Java programming language using the Integrated Development Environment (IDE) of Android Studio. The making of this research resulted in the application of research methods courses as a means of learning for students who had syllabus features, lesson plans, material from units I to X and videos adapted to the syllabus. With the results of the application of learning this research method, it is expected that this application can contribute and provide convenience in the learning process of FPP UNP student research methods.
Segmentation of Characters in a Handwritten Kannada Document

Objective: The main purpose of the proposed research work is to perform the segmentation of characters from the handwritten Kannada document. The reason behind segmentation is to support the implementation of handwriting recognition system for Kannada language. Methodology: To perform segmentation of characters, input document has to go through gray scale conversion, denoising, contrast normalization and binarization process. Result: Documents collected from ICDAR-2013 and ICDAR-2015 were considered for experiment and obtained 100% accuracy for line segmentation and 96% accuracy for character segmentation. Conclusion: To further improve the efficiency with respect to accuracy of character segmentation, other pre-processing steps like skew detection and correction shall be considered.
Study on usage of mobile phone among the post graduate students

The present study conducted during 2018-19 in Dharwad city to study on usage of mobile phone among the graduate students. The data was collected with the help of interview schedule which was developed keeping in view the objectives of the study. The Result revealed that respondents were belongs to age group of 20-25 years. With regard to occupation of the head of the family 50 per cent of them were farmers and 36.66 per cent of them were Government employees. Majority 81.66 per cent of the students internet usage was up to 1GB and followed by 18.33 per cent students usage was up to 2GB. Mobile brand wise distributions in mobile use among students majority of the respondents (30.00%) were having Samsung followed by 23.33 per cent of the respondents had Redmi. While purchasing mobile majority 71.66 per cent of the respondents purchase on their own decision followed by 65.00 per cent of the respondents purchase on their father decision and least was on their mother decision. Pertaining to time spent on mobile, majority 66.66 per cent of respondents spent 4hr-6hr in a day.
Motivational-Value Component of Social Competence of Students of Higher Education Institutions

The article is devoted to revealing the essence of the motivational-value component of social competence of a student of a higher education institution. Social competence is represented as a complex, multifaceted, integral (integral) formation consisting of individual psychological and social qualities of the individual; a set of knowledge, skills and abilities that contribute to the harmonious coexistence and development of personality in a changing social space. On the basis of the analysis of scientific literature, it is determined that the motivational-value component of social competence of a student of a higher education institution is an individual system of qualities and values of the individual, which motivates the individual to determine their own value orientations (intellectual, moral, behavioral social), the choice of professional activity set of social needs, interests, values orientations in the process of active life in society. The criteria for determining the level of formation of the motivational value component include: 1)&nbsp;the value of the chosen type of professional activity, 2)&nbsp;the need for personal and professional self-realization, and 3)&nbsp;actentative social position.
ALGORITMA APRIORI DAN FP-GROWTH UNTUK ANALISA PERBANDINGAN DATA PENJUALAN LEPTOP BERDASARKAN MERK YANG DIMINATI KONSUMEN (STUDI KASUS :INDOCOMPUTER PAYAKUMBUH)

Data Mining is a process in an analysis of data on a large scale or in large quantities that aims to find patterns that have meanings in decision support. In Finding these patterns can use the Algorithm Apriori and FP-Growth algorithm which very popular in finding frequent itemset also determine or find the rule of large database. In this study, using two algorithms that are Algorithm Apriori and FP-Growth that can be used in for search the itemsets and find the association rules or rule of the results of selling Laptop in Indocomputer Payakumbuh, in determining the brand of Laptop that is dominantly liked by consumers, so it can use as consideration in increasing sales strategy in an effective and efficient.
Complex spatial region representation and similar matching for multi-object image retrieval

Spatial relationship and structure models play an important role in various computer vision tasks. Many spatial models focus on global relationship modeling and ignore the detail of the internal structure. This will cause a poor performance in capturing discriminative features for a complex multi-object image. In this paper, we present a novel spatial structure model for complex regions with explicit similar measure. Three aspects of our method should be noted in comparison to the previous approaches. First, we propose a detailed layered graph model for representing complex regions, which has complete description performance and even the slight differences among the local objects can be also recognized. We further provide similar matching algorithms for topological structures based on the detailed layered graph model. Finally, an effective retrieval framework is proposed and applied to multi-object image retrieval. Rigorous experimental evaluations on two datasets demonstrate that the proposed method outperforms other prevailing approaches.
Development of vocabulary acquisition support system

Hearing impaired children have a problem that the meaning and image of kanji are hard to be associated with compared to hearing-impaired children. Therefore, Okinawa National College of Technology develops and improves a word learning application so that students in the Deaf school actually use it to promote independent learning while urging the association of words and events of hearing impaired children. Furthermore, we are studying a vocabulary learning assessment method using morpheme analysis from the problem that we do not know whether we can actually learn a word as a vocabulary.
K-Means Clustering in R Libraries {Cluster} and {Factoextra} for Grouping Oceanographic Data

Cluster analysis by k-means algorithm by R programming applied for the geological data analysis is the scope of the presented paper. The research object is the Mariana Trench, a hadal trench located in west Pacific Ocean. The study evaluates the similarity of the geological data by the analysis of their attributes. The original observation data set contained samples varying in parameters: geology (sediment thickness), tectonics (locations on the tectonic plates), volcanism (igneous volcanic areas), bathymetry (depth ranges) and geomorphology (slope steepness and aspect). The data pool was divided to the clusters using k-means algorithm with aim to detect similarities. Clustering was chosen as a main statistical method, since it enables detecting similar groups within the original data set by unsupervised classification. Technically, the research was performed using R language and its statistical libraries. The main R libraries include {cluster}, {factoextra}; minor libraries include {ggplot2}, {FactoMiner}, {openxlsx}, {carData}, {rio}, {car} and {flashClust}. Several clusters were tested from two to seven, the opti- mal number is defined as five. The results show visualized computations: correlation matrix of the factors; comparison of the bi-factors showing pairwise correlation; pairwise comparative analysis showing influence of the variables as bi-factors: sediment thickness correlating with slope angles; correlation of the volcanic igneous areas with slope angles and aspect degree. Four variables affect geomorphology: slope angle, sediment thickness, aspect degree, bathymetry and volcanism. The paper includes listings of R programming codes for repeatability of the algorithms in similar research.
Document Forensics Through Textual Analysis

This project aims at giving a brief overview of the area of research called Authorship Analysis with main focus on Authorship Attribution and the existing methods. The second objective of this proj ...
Multipurpose Photonic Polarization Processor Chip

We demonstrate an chip-scale polarization processor, configured as polarization multiple-input-multiple-output descrambler, polarization controller and polarization analyzer. It suggests great potential for chip-scale reconfigurable and fully programmable photonic polarization processors with artificial intelligent algorithm.
The Coherence Analysis of Students' Analytical Exposition Texts

This study aims to reveal the coherence of 19 analytical exposition texts written by the fourth semester students of English Department of UNNES through analysis of schematic structure, thematic choices, and thematic developments. Coherence is an essential component to create a make-sense text. Thus, it is very important to know the students’ competency in writing a good text. This study applied a qualitative approach. It employed theories of schematic structure based on stages proposed by Gerot and Wignell (1995), thematic choices from Gerot and Wignell (1995) and thematic developments by Eggins (2004). The findings indicated that students preferably used topical Theme (67.79%) and textual Theme (30.42%). In addition, in terms of thematic developments, Theme Reiteration is the commonest pattern applied by the students. Based on the findings, students’ texts were less coherence because there were several texts having an incomplete thesis at the beginning of the paragraph and one text leaving 1 out of 3 stages of exposition text. Furthermore, the over-use of Theme Reiteration might show that the students’ writing skill is low because they could not elaborate their ideas through various methods. In short, the students could be regarded as novice writers.&#x0D; Keywords: analytical exposition; coherence; schematic structure; thematic choices; thematic development
Effect of Solar Powered Irrigation System on Crop Growth

The solar powered irrigation system is an adaptive plants and crops irrigation system. The purposes of the irrigation system are to provide water delivering schedule to the crops to ensure all the crops have enough water for their healthy growth, to reduce the amount of water waste in irrigation, and to minimize the economic cost for the users. The system takes in real time data of the water content of the plant as input value, combines it with other parameters such as water cost schedule and precipitation on the crop field, runs the designed linear optimization system periodically and outputs the most efficient amount of water the plants need, which is translated by a specific actuation time of the water pumps. The linear optimization system, is able to make decisions for the users when to distribute water into the crops fields and how much water should be delivered. Given the number of factors to be considered and the different crop requirements to take into account for each type of plant, this problem became too complex to solve through simple management methods and has to be supported by automated systems such as the one provided in this work.
A Low-Cost Radar Absorber Based on Palm Shell Active Carbon for Anechoic Chamber

Synthesis and characterization of a low-cost Radar Absorber Material (RAM) based on palm shells activated carbon is presented in this work. This low-cost RAM is intended to be used to cover the walls of the anechoic chamber. Palm shells are industrial waste from oil palm plantations and are widely available in West Sumatra. This work aims to investigate the characteristics of RAM based on palm shell for various types of an activating agent. In addition, the characteristics of RAM are also investigated due to the effect of the concentration of the activating agent. In this research, HCl, KOH, H<sub>3</sub>PO<sub>4</sub>, and ZnCl<sub>2</sub> are operated to activate carbon of palm shell by opening the carbon pores. Characterization of the active carbon in term of absorption and morphological on the surface is performed by using a Vector Network Analysis (VNA) and a Scanning Electron Microscopy (SEM). The waveguide technique is operated in the investigation of the absorption of electromagnetic waves of the RAM on the C-band operating frequency (4 to 8 GHz). The measured results present the maximum absorption of the RAM is obtained -26.3 dB at a frequency of 8 GHz and 1M KOH activating agent. The morphological on the RAM surface shows the pore size of activated carbon on a 1M activating agent preferable than 5M and non-activated carbon. Based on the measurement result, the activated carbon of the palm shell can be used as the radar absorber material for the anechoic chamber application.
Game Edukasi 3D Teknik Bercocok Tanam Secara Hydroponic Dengan Pendekatan Adaptive Learning

The yard can be optimized to fulfill family consumption needs independently. Hydroponic farming techniques are very suitable to be developed on limited land. However, not many people use the yard to fulfill household consumption needs, this is due to the lack of community knowledge about hydroponic farming techniques. In order to improve the understanding of planting techniques with hydroponic techniques, this research will develop interactive learning media based on 3D games using the ADDIE system development method. Meanwhile, the Sugeno model is used to implement the adaptive quiz feature. Development of 3D Educational Games provides an alternative way to learn Hydroponic farming techniques in a fun way through learning methods while playing through the adaptive learning approach and simulation features provided. The level of compatibility of the behavior of the questions with the fuzzy rules set in Fuzzy Rules produces 80% accurate performance.
The Development and Biased Error of Synonymous Compounds

This paper study on synonymous compounds containing the same morphemes. Especially select the two-syllable the containing the same morpheme. First I focus on the formation and development of synonymous compounds. And in the next chapter, I explained the type of error of synonymous compounds.BR Synonym compounds to use the type of error including word meaning error, parts of speech error, co-existence error, word meaning nuance error and language environment error. Finally, I focus on the morpheme teaching as the basis of the words teaching, focus on vocabulary teaching in the error analysis.
A Progressive Stereo Matching Algorithm based on Texture Extension

It is difficult to get accurate stereo matching for the occluded and smooth areas of an image.In this paper, a stereo matching algorithm is proposed based initially on texture region and then on smooth region.First, the reasonable texture points in the left and right image pairs are obtained, and the texture point disparity values of the left and right images are calculated respectively using the adaptive-weight cost aggregation method.Then, starting from the texture points, the disparity values of the smooth areas are calculated by expanding the disparity maps of the left and right textures.Finally, the expanded left and right disparity maps are fused to obtain the final one.In the matching process, the algorithm effectively avoids the occluded area and adds constraint methods to improve the matching accuracy and speed.Experiments show that the proposed algorithm is fast and has higher accuracy disparity between discontinuous and smooth regions.
THE USE OF RUNNING DICTATION IN TEACHING LISTENING SKILL AT THE SIXTH SEMESTER OF COKROAMINOTO PALOPO

This study aims at finding out whether Running Dictation Method is effective in teaching listening skill at the sixth semester of Cokroaminoto Palopo University. This study is pre-experimental design which consists of pre-test, treatment and post-test. The population of this study is the sixth semester of Cokroaminoto Palopo University. The technique used to select the sample is simple random sampling. The data analyzes using significant t-test (paired sample t-test). The result of the study shows that the value of mean score of pre-test (66.13) is lower than the mean score of post-test (75.90). it means that the use of Running Dictation is effective in teaching listening. The result of paired sample t-test shows that the value of sig. (2-tailed) is lower than alpha (α) (0.00&lt;0.05), It means that Null Hypothesis (H0) is rejected and Alternative Hypothesis (H1) is accepted. Therefore Running Dictation Method is significantly effective in teaching listening at the sixth semester of Cokroaminoto Palopo university.
Kumori: Teaching Media for Interactive Japanese Language Learning

This paper centers around the ideas of developing students' media literacy through integrating Japanese language learning and multimedia form. This media is utilized to facilitate Japanese irregular verbs (Doushi) learning on the basis of morphological changes. One of Japanese verb forms which is employed frequently are words which have suffix -te, for they are use ask, order and allow interlocutors to do something (-te kudasai); to show present activities (-te imasu), to give permission (-temo ii desu); and to show prohibitions (-tewa ikemasen). Preliminary study elucidated that students found these Doushiare problematic and complex; thus, additional learning media to learn autonomously is inevitable for students to practice outside the classroom tasks. Researchers attempt to achieve this by developing appropriate teaching media by using Macromedia Flas8 software based on ADDIE model research and design steps, including Analysis, Design, Development and Implementation, Evaluation. The media is called Kumori, which provides interactive and meaningful media for student self-directed learning. The findings shows that Kumorias the instructional media in learning Japanese vocabulary which follows steps of the ADDIE model in order to produce an effective and efficient instructional tool for language learning, can give positive impact to students’ academic achievement. Therefore, adopting an appropriate instructional model must because it is a systematic process in developing proper instructional materials for an effective education and training program. Further, Kumorialso expected to able to contribute and implicated in Japanese language teaching and learning.
Proses Rebranding MGo Shuttle Menjadi Lintas Shuttle

MGo Shuttle management decided to rebrand, they changed the overall MGo brand identity. One of them is by changing the name, namely Lintas Shuttle. The company's decision to conduct a rebranding began with the bankruptcy of the parent company, namely PT. Citra Maharlika Nusantara Corpora. finally the son of this holding company, PT. Citra Maharlika Lintas Wahana (CMLW) "Lintas Shuttle" decided to leave and from its parent company. The purpose of this study was to find out why companies rebranded, the process of developing new brands, the new brand management process, the process of evaluating rebranding activities. The method used in this study is descriptive qualitative. Based on the results of the study it can be concluded that the reason for the company rebranding because of the crisis that occurred in the parent company of PT. Citra Maharlika Lintas Wahana and finally decided to break away. The reason for rebranding was also due to misunderstandings regarding the perceptions of employees, and PT. Citra Maharlika Lintas Wahana requires legality after leaving the parent company. Furthermore, the process of developing a new brand is done by changing the company's identity, changes are made to be able to be thought and felt by the customer that the brand that was different from the current one. In the process of managing a new brand PT. Citra Maharlika Lintas Wahana performs management stages by planning (planning) before the activity, in addition to the strategy of delivering messages and promotions in the form of outdoor media, online, sms blast, email blast, and employees. Furthermore, the process of evaluating rebranding activities is carried out by monitoring and controlling activities, this is intended so that when the process takes place, it turns out that there is something that is not appropriate or that there is an addition from the supervisor, it can be directly conveyed.