Reviewerly/exHarmony huggingface dataset:
Developing a Model of WLAN APs and E-learning with Security System to Improve the Technology of Education at Public University of Mali

The aim of this study is to develop a technology model as a contribution to the public university of Mali and also to discover the appropriateness of that new technology for the educational process. The contribution of this study is a technology of WLAN APs and Moodle e-learning model deployment remoted, secured, and managed by a RADIUS server model design which was implemented and deployed on Linux server OS. In order to meet this objective, the research and development or R & D method are used. The subjects of the research were students of bachelor study programs in Cheick Zayed Center of Mali. This technology allowed to solve the lack of Wi-Fi network and system interconnection, optimization.
Pedestrian Moving Direction Recognition using Ensemble of Convolutional Neural Networks

Pedestrian moving direction recognition (PMDR) is a challenging task due to intra-class variation of pedestrians in cloths, their backgrounds and their walking poses. This paper focuses on the application of an ensemble classification approach based on Convolutional Neural Networks (CNN) for PMDR problem. The proposal method comprises four stages: (1) the pedestrian moving direction dataset generation, (2) the online data augmentation process, (3) the single CNN models and (4) the ensemble CNN models. Firstly, in order to obtain considerable number of features which fit the proposal problems, an original pedestrian dataset is produced. Afterwards, five single CNN models, as initial single strong classifiers, are built based on Cross-Validation. And the proposal online data augmentation is used during training process. Finally, the tuned single CNN models form ensemble CNN models by the proposal ensemble strategy and then, the best ensemble CNN model is selected for their performance evaluation. This paper highlights how ensemble learning technique like Averaging can dramatically improves the performance of a CNN based classification system. By correctly selecting the best combination strategy, the proposal method achieves better classification performance comparing with a widespread method like Random Forest + Histogram of Oriented Gradients (HOG), single CNN models, and several models trained based on some widespread CNN architecture.
Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation

We present a first prototype of the tool SentiAnno, which is an annotation tool specifically designed for sentiment and emotion annotation in structured written texts. To design this tool, we employ the user-centered design (UCD) framework and adapt it by focusing on the annotator, thus phrasing our development approach annotator-centered design. In iterative steps, we gather requirements and feedback from annotators as soon as possible in the development process via various usability engineering methods. We propose that this design process is especially beneficial for challenging and subjective annotation tasks like sentiment and emotion annotation of literary texts. We describe our first iterations and present results of the current prototype. We show how we were able to create functionalities facilitating the annotation process by applying this annotator-centered design approach.
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation.

Given that labeled data is expensive to obtain in real-world scenarios, many semi-supervised algorithms have explored the task of exploitation of unlabeled data. Traditional tri-training algorithm and tri-training with disagreement have shown promise in tasks where labeled data is limited. In this work, we introduce a new paradigm for tri-training, mimicking the real world teacher-student learning process. We show that the adaptive teacher-student thresholds used in the proposed method provide more control over the learning process with higher label quality. We perform evaluation on SemEval sentiment analysis task and provide comprehensive comparisons over experimental settings containing varied labeled versus unlabeled data rates. Experimental results show that our method outperforms other strong semi-supervised baselines, while requiring less number of labeled training samples.
A New Technique to Improve the Security of Elliptic Curve Encryption and Signature Schemes

Elliptic curve encryption and signature schemes are nowadays widely used in public communication channels for network security services. Their security depends on the complexity of solving the Elliptic Curve Discrete Logarithm Problem. But, there are several general attacks that are vulnerable to them. The paper includes how to put into practice of complex number arithmetic in prime field and binary field. Elliptic curve arithmetic is implemented over complex fields to improve the security level of elliptic curve cryptosystems. The paper proposes a new technique to implement elliptic curve encryption and signature schemes by using elliptic curves over complex field. The security of elliptic curve cryptosystems is greatly improved on implementing an elliptic curve over complex field. The proposed technique requires double the memory space to store keys but the security level is roughly squared.
An Analysis of Students' Difficulties in Writing Recount Text (A Case Study at a Senior High School in Indramayu)

This study investigates students’ causes of students’ difficulties, kinds of students’ difficulties, and the most dominant problem in writing recount text written by ten students at a Senior High School in Indramayu, West Java. This study employed a qualitative research design, embracing characteristics of a case study. The data were obtained from collection of samples of students’ recount texts. The findings revealed that most students have been able to implement the schematic structures and linguistic features of argumen texts, which indicates the ability of students to write the texts and to achieve its purpose. However, some students found difficulties in terms of the use of tenses, the use of vocabulary, and the use of specific participants. Based on the analysis of students’ writing, it was found some causes that made students did some mistakes in writing recount texts. Based on these findings, it is recommended that explicit teaching be needed to develop students’ writing skills.
Cloud System for Distributing Multimedia Content in Cyber-Physical Systems

This paper considers building a cloud system for distributing multimedia content in cyber-physical environments. The paper describes overall system architecture, gives detailed description of the users. involved in content distribution. Their typical actions are defined in use case diagrams. UML-diagrams are given, describing modules for content management and transmission are presented. Distributed data storage and management are also thoroughly described here. Various output channels and display modes are compared in terms of client-server interactions to be considered when displaying multimedia content. An essential part of the cyber-physical system described here is mobile device management and data coordination among such devices. The presented systems can be easily implemented with the Unity engine (C#) and GraphQL query language. This paper ultimately gives a high-level perspective of content delivery networks in a modern enterprise.
Individual Specialization in Multi-Task Environments with Multiagent Reinforcement Learners.

There is a growing interest in Multi-Agent Reinforcement Learning (MARL) as the first steps towards building general intelligent agents that learn to make low and high-level decisions in non-stationary complex environments in the presence of other agents. Previous results point us towards increased conditions for coordination, efficiency/fairness, and common-pool resource sharing. We further study coordination in multi-task environments where several rewarding tasks can be performed and thus agents don't necessarily need to perform well in all tasks, but under certain conditions may specialize. An observation derived from the study is that epsilon greedy exploration of value-based reinforcement learning methods is not adequate for multi-agent independent learners because the epsilon parameter that controls the probability of selecting a random action synchronizes the agents artificially and forces them to have deterministic policies at the same time. By using policy-based methods with independent entropy regularised exploration updates, we achieved a better and smoother convergence. Another result that needs to be further investigated is that with an increased number of agents specialization tends to be more probable.
Selective Dynamic Compression.

Dynamic compression methods continuously update the model of the underlying text file to be compressed according to the already processed part of the file, assuming that such a model accurately predicts the distribution in the remaining part. Since this premise is not necessarily true, we suggest to update the model only selectively. We give empirical evidence that this hardly affects the compression efficiency, while it obviously may save processing time and allow the use of the compression scheme for cryptographic applications.
KEMAMPUAN PENILAIAN PEMBELAJARAN DENGAN MENGGUNAKAN TEKNOLOGI MAHASISWA FKIP UMT

The purpose of this study is to determine the ability of students to assess learning using technology. This research uses a quantitative approach with survey research methods. Instrument to collect data using a questionnaire. Respondents in this study were students from each study program at FKIP UMT, namely English, Mathematics, Indonesian Language, PGSD and PAUD. Total respondents were 225 respondents. The analysis was carried out using descriptive analysis. the results of the study indicate that the ability of students to conduct learning assessments using technology is still low. The use of gadgets by prospective teachers in their daily lives is apparently not directly proportional to the use and integration of technology in the learning process.Keywords: learning assessment, integration of assessment with technology, TPACK
The dominant factor causing potential evapotranspiration in Malang raya using geographic information systems

Abstract The water resources management in Malang Raya is very important, because this area still has a lot of agricultural land. Agricultural land needs evapotranspiration maps. By now, there has been no research on the dominant determinant of the value of potential evapotranspiration in the Malang Raya area. Therefore research on the main factors that determine the value of potential evapotranspiration is needed. Purpose research: 1). Discovering the irrigation area that has the lowest and highest potential evapotranspiration value in Malang Raya; 2). Determine the dominant factors that affect the potential evapotranspiration value of irrigation areas in Malang Raya. The method to predict and calculate the amount of Potential Evapotranspiration (ETo) is Penman Method. The main determinants of potential evapotranspiration are mapped using Geographic Information Systems (GIS). Determination of the dominant factors that influence potential evapotranspiration was tested using SPSS. Conclusion: 1). The lowest potential evapotranspiration value were in Blimbing and Kedungkandang Districts from 3.46 to 3.61 mm / day. While, the biggest values were in Batu and Junrejo Districts with values of 6.32 to 6.33 mm / day; 2). The dominant factor affecting the potential evapotranspiration value is the air humidity (RH) factor of 46.4%.
Rehabilitation Exercise Prescription on Android System

The rehabilitation exercise prescription (Rehab-X) aims to develop Android mobile applications dividing into Rehab-X doctor for manipulating patients’ visiting records and exercise prescriptions and Rehab-X patient for viewing of the exercise prescription and watching exercise video.To prescribe an exercise prescription, exercise pose information must be added to the system. The exercise poses are separated into two types: symptom and body part and each type is classified into stretching and strengthening. Each exercise also has an associated video for a demonstration to patients. The exercise prescription includes the exercise photos, step by step descriptions, and the QR code that links to the demonstration video for each exercise pose. Moreover, the doctor can specify each exercise pose with a duration period for each time and the number of times to do per day. After all, the system creates the exercise prescription in a PDF file and saves it in a particular patient’s medical record as well as generates a QR (Quick Response) code for the patient to scan and view the exercise prescription via his/her own Android smartphone. This paper describes Rehab-X and programming techniques which can be applied for issuing any further medical prescriptions on Android smartphone system.
APLIKASI OPERASIONAL MOBIL DINAS DI PT PLN (PERSERO) P2B

Abstrak Proses pemakaian mobil dinas di PT PLN P2B masih memiliki beberapa kendala yang harus diatasi yaitu pegawai yang ingin memakai mobil dinas tidak dapat mengetahui ketersediaan mobil, lalu bagian kendaraan melakukan pencatatan penjadwalan penugasan pengemudi (driver) masih menggunakan board, serta bagian kendaraan melakukan pencatatan pengeluaran biaya operasional untuk dijadikan laporan bulanan masih menggunakan excel dan catatan kertas. Untuk itu dalam pembangunan aplikasi operasional mobil dinas memiliki fungsionalitas seperti melihat ketersediaan mobil, pencatatan pemilihan pengemudi yang tersimpan di database dan pencatatan pengeluaran biaya BBM dan Tol yang akan tersimpan di database khusus. Metode yang digunakan dalam pembangunan aplikasi ini adalah Software Development Life Cycle (SDLC) dengan menggunakan model pengembangan produk waterfall, menggunakan bahasa pemrograman PHP dan Javascript. Framework yang digunakan codeigniter dengan database MySQL dan pengujian menggunakan Black Box Testing. Sehingga diharapkan operasional pemakaian mobil dinas di PT PLN P2B dapat berjalan dengan efisien dan efektif. Kata Kunci: mobil dinas, waterfall, PHP Abstract The process of using official cars at PT PLN P2B still has several obstacles that must be overcome, that is employees who want to use official cars cannot find out the availability of cars, then the vehicle parts record scheduling assignments of drivers (drivers) are still using the board, and the vehicle parts record expenses operational to be used as a monthly report still using excel and paper notes. For this reason, in the development of operational applications official cars have functionalities such as seeing the availability of cars, recording driver selection stored in the database and recording fuel and toll costs that will be stored in a special database. The method used in the construction of this application is Software Development Life Cycle (SDLC) using the waterfall product development model, using the PHP and Javascript programming languages. Framework used codeigniter with MySQL database and testing using Black Box Testing. So that it is expected that official car usage operations at PT PLN P2B can run efficiently and effectively. Keywords: Official car, waterfall, PHP
A Compact and scalable source for entangled photonic linear cluster states

We have devised an all-fiber scheme for the creation of multipartite entanglement of photons of arbitrary number. A quantum dot single photon source was utilized and entanglement of four photons was demonstrated.
Identifying Phytochemicals from Biomedical Literature Utilizing Semantic Knowledge Sources.

Chemicals derived from plants (phytochemicals) are major concepts of interest in the study of medicinal plants. To date, efforts to catalogue and organize phytochemical knowledge have resorted to manual approaches. This study explored the potential to leverage publicly accessible semantic knowledge sources for identifying possible phytochemicals. Within the context of this feasibility study, putative phytochemicals were identified for more than 4,000 plants from the Medical Subject Headings Supplementary Concept Records and the Semantic MEDLINE Database. An examination of phytochemicals identified for five selected plant species using the method developed here reveals that there is a disparity in electronically catalogued phytochemical knowledge compared to information from Dr. Duke's Phytochemical and Ethnobotanical Databases maintained by the United States Department of Agriculture. The results therefore suggest that semantic knowledge sources for biomedicine can be utilized as a source for identifying potential phytochemicals and thus contribute to the overall curation of plant phytochemical knowledge.
Development of Young Children’s English Learning Interest and Anxiety Rating Scale

본 연구의 목적은 국내 유아의 영어학습 흥미와 불안을 측정할 수 있는 타당한 척도를 개발하여, 유아 영어교육 환경의 적합성 검토를 위한 기초 자료를 제공하는 것이다. 관련 문헌 고찰 및 아동학 전문가의 의견을 바탕으로 척도의 구성요인을 수집하고 추출하였으며, 타당도 검증과정을 거쳐 예비 문항을 구성하였다 연구대상은 만 3-5세 유아 총 436명의 어머니와 담당 영어교사 42명이었다. 본 연구에서 신뢰도와 타당도 검증을 거쳐 개발된 영어학습에 대한 유아의 흥미 척도는 흥미-교사관찰 (3문항) 흥미-어머니관찰 (12문항) 2개 요인의 총 15문항으로 구성되었고 영어학습에 대한 유아의 불안 척도는 불안-교사관찰 (5문항)과 불안-어머니관찰 (4문항) 2개 요인의 총 9문항으로 구성되었다. 구성된 척도의 하위 요인 내적 합치도는 .76부터 .92사이에 분포하였다 영어학습에 대한 흥미 척도의 Cronbach’s α값은. 91이었고 영어학습에 대한 흥미 척도는 이었다 본 연구를 통해 개발된 영어학습에 대한 유아의 흥미 및 불안 척도는 안정되고 신뢰도 있는 도구임이 검증되었다.This study aimed to develop an objective scale to measure young children’s English learning interest and anxiety. The preliminary scale of 34 items was first developed through the rigorous previous literature review with the terms - ‘interest’, ‘affective factors’, ‘learning English’, and ‘anxiety’-together with the experts’ content validation. The total of 436 mothers of 3- to 5-year-old children and their English teachers (42 teachers) were contacted to rate the preliminary scale. The collected data were analyzed using SPSS 19.0 and AMOS 26.0 programs. Exploratory factor analysis revealed the following two factors for ‘Interest toward English learning’ model: interest-observed by teachers and interest-observed by mothers. As for ‘Anxiety toward English learning’ model, anxiety-observed by teachers and anxiety-observed by mothers were also revealed. Confirmatory Factor Analysis confirmed and validated the model fit. Also, convergent validity, discriminant validity, and cross-validity were confirmed. The internal consistency of the ‘Interest toward English learning’ and ‘Anxiety toward English learning’ were .91 and .76, respectively. The result of the study demonstrated that ‘Young Children’s English Learning Interest and Anxiety Rating Scale’ developed in this study is a valid and reliable instrument.
CONTEMPORARY REVIEW OF THE BOOK OF POEMS. GENRE AND COMPOSITIONAL ASPECTS

The purpose of the work is to study the review of a poetry book in terms of genre and composition. The novelty, in particular, is the choice of methods (quantitative estimation, empirical generalization, modeling) for the object. The article for the first time quantifies the multitude of reviews on the collection of poems published in Russia nowadays. It states that the traditional literary-critical (artistic) affiliation of the review – perhaps because of the quantity – is changing: now review of a poetry collection is not only a literary-critical genre, but also a journalistic genre, and partly scientific one, as well as a unit of the information system. If earlier art tasks were a priority for literary critics, now objectivity and accuracy of information are prioritized. For the first time the thesis is revealed that the individualization of the poetic book, bringing it to an individual identity: selfidentity. The purpose goal of the reviewer is an individualization of a poetry book, bringing it to an individual identity: self-identity, identity of oneself. In this regard, the review composition model is proposed: introductory part (header), information about the author, listing the features of his poetry, quotes. Not all those elements are obligatory and not all are equal: literary critic chooses from a set of poetic traits those that he considers important and that can serve his own purpose. Article sums up that the review in literary process is important, and the role of reviewer is still active – but active in a different way.
Temporal factorization of 3D convolutional kernels

3D convolutional neural networks are difficult to train because they are parameter-expensive and data-hungry. To solve these problems we propose a simple technique for learning 3D convolutional kernels efficiently requiring less training data. We achieve this by factorizing the 3D kernel along the temporal dimension, reducing the number of parameters and making training from data more efficient. Additionally we introduce a novel dataset called Video-MNIST to demonstrate the performance of our method. Our method significantly outperforms the conventional 3D convolution in the low data regime (1 to 5 videos per class). Finally, our model achieves competitive results in the high data regime (> 10 videos per class) using up to 45% fewer parameters.
A Comparative Study on the Effects of Exports on Stock Index Growth of Large-scale, Medium-scale and Small-scale Companies in South Korea and Germany

Purpose - This study Compared the effects of exports on the growth of stock indices of large-scale, medium-scale and small-scale companies in South Korea and Germany. Design/methodology/approach - The interdependence of exports on the growth of stock index growth relative to large-scale, medium-scale or small-scale businesses in South Korea and Germany was examined using 1176 data observations from May 20, 2010 to December 30, 2014. Impulse response function based on a VAR model as well as variance decomposition were employed after unit root, cointegration and Granger causality tests were conducted. Findings - This research showed several results. First, stock indices of large-scale, medium-scale and small-scale companies in South Korea and Germanies have unit roots. Second, first differential stock indices of large-scale, medium-scale and small-scale companies in South Korea and Germanies have no unit roots. Third, there is no cointegration among them. Fourth, the correlation large-sized and small-sized businesses in Germany is 0.983564.. But the correlation large-sized and small-sized businesses in South Korea is 0.358174. Research implications or Originality &#8211;We find that exports have a positive effect on the growth of Korean mid-sized and small businesses, similar to the same observation made with respect to mid-sized and small business stock indices in Germany.
An Exploration on Temperature Term in Training Deep Neural Networks

Model compression technique is now widely investigated to fit the high-complexity deep neural network into resource-constrained mobile devices in recent years, in which one of effective methods is knowledge distillation. In this paper we make a discussion on the temperature term introduced in knowledge distillation method. The temperature term in distill training is aimed at making it easier for the student network to learn the generalization capablityof teacher network by softening the labels from the teacher network. We analyze the situation of using the temperature term in ordinary training to soften the output of neural network instead of soften the target. In experiments, we show that by applying a proper temperature term in training process, a better performance can be gained on NABirds dataset than using the model without temperature term.