Reviewerly/exHarmony huggingface dataset:
Perancangan Reponsive Layananan Sistem Informasi Perkuliahan Online Terhadap Mahasiswa Dan Dosen Pengampu Matakuliah

The development of internet technology provides opportunities for applications in all types of human activities including special education for higher education in universities to improve the quality of education. This study discusses the importance of the elements that must be met when we build web-based academic applications with web technology as an information system service using an Android-based smartphone. As a sample in the research data, there were 168 or 50% of students involved in the total number of Computer Science students at the University of Muhammadiyah Metro Lampung, 336 people in the use of web-based lecture information system services. Improving the quality of lecture information system services is needed a response from students with the existence of this information system service by using questionnaires as responsive indicators of students. Online Information System Services lectures conducted by a lecturer at the Faculty of Computer Science, University of Muhammadiyah Metro. This research will also discuss open source as the foundation for disseminating lecture information system services that can be carried out by students and lecturers by using a variety of hardware one with a mobile system or smartphone. Keywords: Reponvive Services, Information Systems, Online Lectures
Sentiment Analysis on Twitter Data using a Hybrid Approach

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
QUANTITATIVE COMPARISON BETWEEN NEURAL NETWORK- AND SGM-BASED STEREO MATCHING

Abstract. Over the last decades, various methods for three-dimensional detection of the environment have been developed and successfully used. This work considers classical stereo methods, which can determine depth information by the means of correspondence analysis on the basis of two pictures of a scene. Recently, neural networks have been used to solve correspondence analysis. These procedures came first places on corresponding benchmarks and are ahead of many already established solutions. In this work, images captured by the ZED camera are evaluated for accuracy of the depth maps generated by several approaches. This includes modern methods based on neural networks.
English Proficiency and Sequencing Skills in Narrative Writing

This descriptive-comparative research explored the level of grammar proficiency in terms of subject-verb agreement, tenses of the verb, prepositions, and connectors, and sequencing skills in narrative writing of the Grade 7 students. Specifically, it sought to determine the significant difference in the level of grammar proficiency and the sequencing skills of the students. This study used a researcher-made instrument conducted to 308 Grade 7. The findings revealed that the students have a low level of grammar proficiency and average level in sequencing skills as a whole. Moreover, a significant difference exists in the level of grammar proficiency and the level sequencing skills of students when they were grouped according to academic performance in English and track. Further, no significant difference exists in the level of grammar proficiency and sequencing skills of the students when they were classified according to sex. In conclusion, grammar proficiency and sequencing skills are indicators of success in narrative writing.
Tree Structure of Requirements and HKEH Prioritization

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
The Analysis of Online EFL Composition Rating System in China

The major advantage of analytic rating is to give learners feedback and provide useful diagnostic information and about learnersâ€™ writing abilities. Automated Essay Scoring (AES) is at present popular for EFL assessment and rating. This paper makes a comparison of two major high-stake large-scale English tests in terms of writing subtests and argues that AES is a bridge connecting the needs of efficient rating and the minimum negative washback of the two tests. The paper takes Bingo online rating system as an example and analyses its reliability and validity.
Gender Prediction by Voice using Logistic Regression

Gender Recognition is a python script that can detect the gender of a speaker from the voice given using Logistic Regression. It is trained using the voice kaggle set and uses pyaudio to record and extract the features from audio segments. Detecting the gender of a person (male or female) through their voice seems to be a very trivial task for humans. Our minds are trained over the course of time to detect the differences in voices of males and females. But it is a challenging problem for computers. So the prime motivation of this project is to detect the gender of the speaker that can be used for the Video Games and Mobile Applications.I.
BAHASA INDONESIA SEBAGAI PENGANTAR DALAM DUNIA PENDIDIKAN DI MI HIJRATUL FATH CIMAHI UTARA

This research is motivated by the influence of Indonesian in the world of education in delivering the process of learning foreign languages and regional languages. This study aims to examine the use of Indonesian Language in a study at the Madrasah Ibtidaiyah Hijratul Fath Cimahi Utara. The problems in this study are: 1) What is the role of Indonesian in the world of education? 2) Can using Indonesian language help the learning process in delivering foreign language learning and regional languages? 3) How to use good and correct Indonesian Language so that it can help the learning process? The purpose of this study is to determine the extent of the influence of Indonesian in the world of education so that it is very influential in other subjects. The research method used is qualitative research methods. The research instrument used by researchers was interviews. The research object was three teachers and the research location at the Madrasah Ibtidaiyah Hijratul Fath school in North Cimahi. The results of the study show that the dominant Indonesian language is used in speech events, because the language of instruction in learning uses Indonesian. Thus, the role in the world of education is very influential in the world of education that we should apply as an introduction in applying learning English and Sundanese.
Video Analysis with Faces using Harris Detector and Correlation

A procedure is presented to detect changes in a video sequence based on the Viola & Jones Method to obtain images of faces of persons; videos are taken of the web.The software allows to obtain images or frames separated from nose, mouth, and eyes but the case of the eyes is taken as an example.Change detection is done by using correlation and the Harris detector.The correlation results allow us to recognize changes in position in the person or movement of the camera if the individual remains fixed and vice versa.It is possible to analyze a part of the face thanks to the Harris detector; It is possible with detected reference points to recognize very small changes in the video sequence of a particular organ; such as the human eye, even when the image is of poor quality as is the case of videos downloaded from the Internet or taken with a low-resolution camera.
Performance Evaluation of Neural Network for Human Classification Using Blob Dataset

Background: Human Classification in public places is an emerging area in the applications of Computational Intelligence. Therefore, modeling of an optimal architecture of the neural network is required to classify them. Methods: In this work for this purpose, blob dataset has been used to train the neural network. This dataset consists of 2408 features of a human blob. Results: Further, analysis of this blob dataset has been done on the basis of various characteristic parameters for affirmation of actual training. During training and testing of this dataset, it has been observed that when nodes at hidden layer are below and above 10 then training of neural network is under fitted and overfitted respectively and works effectively when the nodes are 10 at the hidden layer. Conclusion: From the experimental work performed in this study, an optimal neural network has been obtained to classify human using blob dataset.
Diction in Emily Dickinson’s Poems

Diction is word choice. In poetry, the diction is commonly used by the poet. This research aims to find a description of the characteristics and uses of diction in poetry-poem by Emily Dickinson. From this description, it will be seen how Emily Dickinson in choosing words to pour her imagination into a poem. Using qualitative methods and librarian technique, the data will be analysed by describing the words included in diction that is based on: (1) the connotation and denotation meaning, (2) the general and specific meaning, (3) the use of words from other languages, and (4) the style of language. As the sample data, use four poems by Emily Dickinson, namely: Bird Came Down, Faith, Is The Hope Is Thing With Feathers and I'm Nobody! Who Are You . The fourth of these poems will be analyzed based on the four types of diction. From the results of the study found three types of use of diction, i.e. connotation—denotation meaning, specific—general meaning, and the use of the style language. A third using of diction is most widely found in the poem entitled I'm Nobody! Who Are You? . Keywords: poetry, diction, and diction characteristics
Minería de datos en educación: una revisión literaria

The present research was developed with the aim of determining what the main techniques of data mining applied to education are, in order to show the level of coincidence and to identify what needs meet the use of such technics. Through the use of desk research of reviewing scientific articles, publications that show greater support for the purposes of the analysis were filtered, classified, and selected, a total of 25 articles published generally in English and Spanish between 2010 and 2018 were compiled. After data compilation a matrix was developed for the application of data mining for the selected articles which contain the characteristics to be evaluated (technics and tools). This allowed to perform a statistical analysis regarding the level of coincidence of the evaluated characteristics to determine which were predominantly used. Analyzing the articles, it was found that most of them are focused on the development of discovery methods that analyze educational data repository in order to understand students, learning environment, and factors that influence academic performance, the research determined that one of the most experienced techniques is the classification and the most used tool WEKA (Waikato Environment for Knowledge Analysis) software.
KPWr dump r240

Dump of the Polish Corpus of Wroclaw University of Technology (KPWr) containing a set of documents annotated with named entities and keywords.
IDEAS TO ENHANCE ENGLISH LEARNERS’ MOTIVATION THROUGH TECHNOLOGY BASED TEACHING MEDIA

We see and face that our students not really motivated when they learn English, feeling bored and not interesting to English. Teaching media usage can face this problem, because the use of teaching media can attract students’ attention to the subject. However, even the teacher used teaching media to explain materials, sometimes it is not a good way to avoid students’ boredom, because they not really interesting to teaching media used. This article tries to give some ideas related to the problem above, by offering ideas about interesting teaching media that is technology based teaching media. This issues based on the fact that the growth of technology today is very massive, and students are very familiar and interested in technology. So, it is hoped as an English teacher to adapt students’ interest in term of technology as teaching media.
A Survey on Cryptographic Algorithms and their implementation over Advanced Computer Architectures

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
PEMBELAJARAN MENULIS TEKS EKSPOSISI DENGAN MENGGUNAKAN MODEL THINK TALK WRITE (TTW)

This research is motivated by the fact that the difficulties faced by students in producing when expressing ideas and ideas in determining the language elements of the exposition text. more students do not understand the exposition text than students who already understand how to write exposition text, so researchers offer a learning model Think talk write as a solution to overcome this problem. Using the model, students can learn in a structured and not boring way, because this model is structured, students will be able to capture and absorb learning well. This study was conducted to find out 1) whether the think talk writes model can foster the skill of writing exposition text 2) whether there are differences before or after using the think talk write model. The aim of the researcher for this writing skill is to make learning in the classroom effective. Therefore, researchers used the think talk write (TTW) model as a solution to these problems. This study uses the One-Group Pretest-Posttest Design method, the data obtained from the results of the pretest and posttest. The average results of the pretest students get 68 and the average posttest results obtained are 78. Based on the results of the analysis seen differences before and after treatment. In other words, the model (TTW) is effectively used in learning exposition text writing.
Face Recognition using Video framing Techniques

Face recognition is one of the prominent field of research & development in digital image processing.itdetects face from frames of video.As we know video is series of frames played in certain time interval.This paper talks about face recognition using fisherface algorithm.Frame from video is taken an it undergoes of fisherframe algorithm.This algo works as landmark in machine learning & data science.
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]

Presents information on the 2019 ICASSP Conference.
Optimization IIR Filter Design Using Symbiotic Organism Search Algorithm

The possible multi-modal error surface is a challenge to the IIR filter design, which needs a flexible, easy to implement and stable global optimization algorithm to provide filter coefficient information.The Symbiotic Organism Search (SOS) algorithm is an effect global optimization algorithm which is proposed by Min-yuan Cheng in 2014.It simulates the symbiotic interaction between different populations in nature.In this paper, the IIR filter design in system recognition field based on the SOS algorithm will be described.Two IIR filters in different structures were used for experiment.The simulation results will be compared with some well-known algorithms that also provide solutions for IIR design.The comparative results show that: the design solution provided by the SOS algorithm is superior to Compared algorithms.
Research Guides: COM 287: Persuasive Speaking: Library Tips For Succss

A study of the processes involved in attitude change, with emphasis on the preparation and delivery of persuasive messages. Spring 2019
Defining the high-risk patient

As the volume of surgery continues to grow worldwide, the identification of high-risk patients is an important goal to guide clinical decision making in the perioperative period. Risk stratification evolved over the last decade from simple risk stratification tools, still used widely in the clinical arena to more sophisticated risk prediction models based on machine learning and latent class analysis, which can be incorporated into a well-developed electronic patient record or critical care clinical information system. As the debate about which patients will benefit most from critical care admission and interventions is still ongoing, the identification of the high-risk patient is a continuing challenge. In this review we will summarise the latest developments in the use of these risk stratification tools and risk prediction models, which can be utilised to identify the high-risk surgical candidate.
PENINGKATAN HASIL BELAJAR IPS SISWA DENGAN MENERAPKAN MODEL PEMBELAJARAN KOOPERATIF TIPE EXAMPLES NON EXAMPLES DI SD NEGERI 019 BUMI AYU

Social studies are considered to be less attractive and even many students become passive because they only accept learning material by listening to teacher lectures. The purpose of this study was to improve student social studies learning outcomes by applying examples non examples cooperative learning. This research was conducted at Bumi Ayu State Elementary School 019 with 23 subjects as many as 23 students. The form of research used is classroom action research. The study was conducted in 2 cycles, each through the stages of planning, implementation, observation, and reflection. The results of the study showed that at the basic score the number of students who completed was 11 people with a percentage of 47.8%, while the number of students who did not complete were 14 people with a percentage of 52.2%. In the first cycle the number of students who completed was 18 people with a percentage of 78.2%, while the number of students who did not complete was 5 people with a percentage of 21.8%. In the second cycle the number of students who completed was 24 with a percentage of 91.3% while the number of students who did not complete was 2 people with a percentage of 8.6%. based on these results it can be concluded that by applying cooperative learning models examples non examples can improve social studies learning outcomes of students in class IV.C 019 Bumi Ayu Elementary School.
Image Steganography Using in Homogeneous Images with Modyfing Vernam Scheme

Nowadays, due to the rapid development of the internet, it is prominent to guard mystery data from cyberpunks through communicating.The steganography technique utilizes for trading mystery data in an approach to stay away from doubt.This paper accomplishes a manner for encryption each channel of RGB color image separately without the necessity to exchange an encryption key utilizing the principle of modifying vernam scheme then camouflage it into a grayscale cover image .On the other hand, encrypts a grayscale image without the necessity to exchange an encryption key utilizing the principle of modifying vernam scheme then camouflage it into a cover image of RGB color type .The simulation results revealed an offering of extremely security for the image transmission.
The Discussion on Focus and Development Direction of the Reform of Physical Education Course in China's Universities

This study reviews the research progress of university physical education curriculum reform in recent years from five aspects: curriculum objectives, curriculum structure, curriculum content and teaching methods, curriculum resources development and curriculum evaluation. It also puts forward five research directions, including the integration of the content of National Students' Physical Fitness and Health Standard into the physical education curriculum teaching, the regional and diverse development of curriculum resources, the promotion of college physical education curriculum reform by network informatization, the integrated development of both inside and outside classes, and the perfect evaluation system of College Physical Education curriculum, to provide some references for the reform of College Physical Education Curriculum in China.
Determining the Neural Network Topology from the Viewpoint of Kuhn's Philosophy and Popper's Philosophy

Determining the number of hidden layers and the number of neurons are very important and have a large influence on deep neural network(DNN) performance. In some studies, there is no clear guideline on how to determine the number of hidden layers or neurons optimally; even the roles and functions of both are explained minimally. Although it is difficult, researches to determine the number of hidden layers and neurons must continue to be carried out, because both will greatly determine the performance of DNN. According to Kuhn, the method for determining neural network topology in deciding the number of hidden layers and hidden neurons is still in pre-paradigm phase. New studies continue to be made in an effort to find methods that can be generally accepted, so that they will become normal sciences. The proposed new methods can be tested by using Popper's falsification which will determine whether the methods can eventually become normal sciences or not.
INVITED: Adversarial Machine Learning Beyond the Image Domain

Machine learning systems have had enormous success in a wide range of fields from computer vision, natural language processing, and anomaly detection. However, such systems are vulnerable to attackers who can cause deliberate misclassification by introducing small perturbations. With machine learning systems being proposed for cyber attack detection such attackers are cause for serious concern. Despite this the vast majority of adversarial machine learning security research is focused on the image domain. This work gives a brief overview of adversarial machine learning and machine learning used in cyber attack detection and suggests key differences between the traditional image domain of adversarial machine learning and the cyber domain. Finally we show an adversarial machine learning attack on an industrial control system. CCS CONCEPTS • Security and privacy $\rightarrow$ Network security; • Computing methodologies $\rightarrow$ Machine learning.