Reviewerly/exHarmony huggingface dataset:
PENDAMPINGAN PELABELAN DAN PEMBUATAN WEBSITE UNTUK PEMASARAN PRODUK HASIL PENGOLAHAN SAMPAH DI TPS-3R KELURAHAN TALANG KELAPA KECAMATAN ALANG-ALANG LEBAR

Waste generated by households can have economic value using the 3R method by the TPS. TPS-3R of the Maju Jaya Self-Help Group (KSM) is a pilot TPS in household waste management in Talang Kelapa Village, Alang-alang Lebar Subdistrict. The products produced are compost, liquid organic fertilizer and handicrafts from used goods. The obstacle faced is ineffective and efficient marketing. This is due to not having the correct label and ineffective marketing. So that assistance is needed in making product labels to be attractive and training in making websites to expand the marketing of processed waste products from TPS-3R KSM Maju Jaya. From the results of this activity, TPS-3R KSM Maju Jaya was able to create a logo that presented the values of TPS-3R KSM Maju Jaya and produced a more attractive product label. In addition, TPS-3R Maju Jaya has a website to increase sales of its products.
Intelligent Essay Grading System using Hybrid Text Processing Techniques

Educational Institutions are facing enormous tasks of marking and grading students at the end of every examination within the shortest possible time. Marking theoretical essay questions which involves thousands of examinees can be biased, subjective and time-consuming, leading to variation in grades awarded by different human assessors. This study presents an Essay Grading System called Intelligent Natural Language Processing Essay Grading System (iNLPEGS) with high accuracy percentage and minimal loss function for scoring assessment that can accommodate more robust questions. Secondary dataset collected from Kaggle provided by The Hewlett Foundation was used to aid semantic analysis and Part of Speech tagging. Assemblage of Computer Science questions and answers were collected from Babcock University Computer Science Department to create a more robust dataset to ensure high reliability. An Intelligent Natural Language Processing Essay Grading Model was designed based on Enhanced Latent Semantic Analysis using Part of Speech n-gram Inverse Document Frequency. Web based application was developed using Django, Gensim, Jupyter Notebook and Anaconda as the development tools due to availability of several Python libraries with SQLite as the database. Results of performance evaluation of iNLPEGS showed accuracy of 89.03% and error of 10.97% connoting that there is very little difference between scores from the developed intelligent essay grading system and a human grader. Also, the loss function from Root Mean Square Error (RSME) showed value of 0.620 which is very small and thus signifies closeness to the line of best fit from the regression equation.
Figure 3.9.2

Plot of the analysed concentration (black diamonds – left axis) and the bias (open triangles – right axis) expressed as wt% for fluorite using the internal standard method with zincite designated as the internal standard. The analysis was calibrated using sample 1H where the fluorite and zincite concentrations are 34.69 and 30.19 wt%, respectively.
Hand Gesture Controlled Drone

Unmanned Aerial Vehicles, also known as drones, are the aircrafts that can be operated without a human pilot on board of the aerial vehicle. Drones can be navigated from the ground, using a GPS tracking system. Drones are traditionally operated using remote controllers, joysticks, mobile applications, and embedded computers. Some important problems previously faced with these approaches are that drone controlling is limited to the range of electromagnetic radiation and is susceptible to interference noise. In this, the use of hand gestures is considered as another technology to control drones. Hand gestures are used to control the movement of the drone and an onboard camera is used for streaming an aerial view of the surrounding. This UAV (Unmanned aerial vehicles) are becoming very popular and are widely used for photogrammetry and remote sensing applications. This paper basically describes about how the surveillance drone is made and then discusses about its-components and it’s working. The main objective of this project is to provide convenient and efficient surveillance at an affordable price, so that the drones can be used for both private and government purposes. Keywords: Drone, Hand gesture, Quadcopter, Aerial view, Gesture controllers, Aerial surveillance. Cite this Article: Abhinav Vilas Dhanawade, Ninad Dwarkanath Patil, Mukesh Sanjay Dhanure, Rina Bora. Hand Gesture Controlled Drone. Journal of Advancements in Robotics. 2020; 7(2): 23–28p.
Red Hat Hybrid Cloud Infrastructure

This chapter aims to highlight the key concepts and technologies related to cloud infrastructure and Red Hat cloud environment solutions.
TEACHING METHODS OF INFOGRAPHIC DESCRIPTION IN A FOREIGN LANGUAGE WITH THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGY

A. Kovaleva, D. Zarifullina, D. Kurmanova, M. Tkacheva, A. UshakovaUral Federal University (RUSSIAN FEDERATION)
Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems?

In order to ‘train small, deploy big’, agent control policies must be transplanted from one trained agent into a larger set of agents for deployment. Given that compute resources and training time generally scale with the number of agents, this approach to generating swarm control policies may be favourable for larger swarms. However, in order for this process to be successful, the agent control policy must be indistinct to the agent on which it is trained so that it can perform as required in its new host agent. Through extensive simulation of a cooperative multi-agent navigation task, it is shown that this indistinctness of agent policies, and therefore the success of the associated learned solution of the transplanted swarm, is dependent upon the way in which an agent views the world: absolute or relative. As a corollary to, and in contrary to naive intuition of, this result, we show that homogeneous agent capability is not enough to guarantee policy indistinctness. The article also discusses what general conditions may be required in order to enforce policy indistinctness.
I played with Kirby for quite a ...

I played with Kirby for quite a bit before trying to spin up my own site with just HTML and PHP (but I don't know
Sistem Informasi Penjadwalan Mata Pelajaran Di Mim Pk Kartasura Berbasis Website

MIM PK Kartasura is one of the Muhammadiyah elementary schools Special Program in Kartasura. Scheduling subjects is needed at MIM PK Kartasura to organize the learning activities of students and teachers every day. PK Kartasura MIM staff had difficulty in making schedules because the making of schedules was still manual, prone to schedule collisions and human errors, and the previous system could only be accessed by one person at a time. To overcome the above problems the authors conducted research aimed at making the Scheduling Information System in MIM PK Surakarta Web-based that can prevent collisions, can be accessed by several devices simultaneously can be accessed from several devices and allows teachers and parents to also get information about school schedules or other important announcements if MI students forget to notify parents. The information system created is based on a website with tools used in the form of the Django Framework, Bootstrap, and the MySQL Database. The research method used is the Software Development Life Cycle (SDLC). System testing is based on the System Usability Scale (SUS) method with 30 respondents which produces a score of 70 where the system is categorized as good and acceptable.
ANALISIS KEBERTERIMAAN ISTILAH-ISTILAH KOMPUTER: STUDI KASUS SOSIOLINGUISTIK UNTUK PARA TEKNISI KOMPUTER

Abstract:  The use of computer raw terms for technicians is unique to analysed. They are so familiar with the English term in the computerization activities of daily activities. Their unique case will be expanded to give the reality of the acceptance of the computer's raw term. This article is analysed qualitatively descriptive and uses data collection techniques in the form of a closed interview which is capable of triggering to know the level of acceptance and analysed deeply by indirect observation methods. Data sources are analysed through their speech and then validated based on the acceptance to get the data that will be processed in the findings and discussion. This study uses sociolinguistics in the context of case studies. This study simply exposed the technician's understanding in the use of computer acceptance terms.
AUGMENTED REALITY IN TEACHING AND LEARNING STEREOMETRY: THE EXPERIENCE OF THE PILOT SCHOOLS

M. Shabanova, O. Bezumova, S. Kotova, E. ZatsepinaNorthern (Arctic) Federal University named after MV Lomonosov (RUSSIAN FEDERATION)
Structure Analysis of Journal Article Titles: Systemic Functional Grammar Perspectives

This article studies about analyzing the nominal group structure of journal article titles based on systemic functional linguistics. Title is important for an article. It tells about the content of the article, so it must effective and accurate. Each writer created titles using different word classes as the components constructing the title, and with different length: short and long structure. The purpose of this study is to identify the components constructing titles in journal articles and to find the dominant component forming them. The method used in this study is qualitative method. In analyzing the data, writer used Systemic Functional Grammar perspectives as SFG provides comprehensive explanation about nominal group.  The data were taken from journals published by English Journal Literacy UTama. The study revealed that journal article titles used basic components of nominal group structure and the dominant component constructing the structures was post-modifier functioning as qualifier represented by prepositional phrase.
Image-Dehazing Method Based on Improved Dynamic Atmospheric Scattering Coefficient Function

The invention discloses an image defogging method based on an improved dynamic atmospheric scattering coefficient function, and the method comprises the steps: solving a minimum channel image throughemploying R, G and B color channels of an original image, and calculating an atmospheric light value A of a foggy day image through a quadtree segmentation method; calculating the depth of field d (x)of the image by using a nonlinear color attenuation prior model, and filtering noise information in the depth of field d (x) of the image through minimum filtering, smooth filtering and guided filtering to obtain the final depth of field dr (x) of the image; and finally, in combination with the improved dynamic atmospheric scattering coefficient function beta (x) and the image depth of field dr (x) obtained through final processing, calculating atmospheric transmissivity t (x), and recovering a fog-free image through an atmospheric scattering model. The method not only can solve the problem of inaccurate transmissivity estimation caused by constant atmospheric scattering coefficient, but also can effectively solve the phenomenon of color distortion of the sky area of the image, so that the defogging effect of the image is clearer and more thorough, and the color of the scenery is more natural and real.
MENGENAL PEMBELAJARAN BIPA BERDASARKAN KEBUTUHAN BELAJAR PELAJAR ASING

BIPA Learning is an Indonesian language learning program specifically designed to provide language learning services for foreign students. In BIPA learning, teaching materials and learning strategies are specifically designed according to the learning needs of foreign students. BIPA students are students as speakers of other languages who have diverse cultural backgrounds and learning goals. Cultural diversity and learning objectives of BIPA students have implications for the difficulty in choosing appropriate materials and strategies for implementing BIPA learning. The suitability of the choice of materials and strategies with the needs of BIPA students can motivate students and improve learning effectiveness. Therefore, an adequate understanding of student characteristics, learning needs, and teaching materials are important aspects that need to be mastered by BIPA teachers.
중등영어 임용시험의 코퍼스 기반 종합분석 ―2002년대-2020년대를 중심으로

This study presents a corpus-based analysis of Secondary School English Teacher Recruitment Exams (SETRE) in the years 2002 to 2020. With a corpus-driven approach, the objective of this study is three-fold: (a) to assign CEFR levels to the SETRE, which purport to test the qualification of English teachers in Korea; (b) to probe the text coverage of the General Service List (GSL) and the Academic Word List (AWL) of the SETRE; and (c) to generate a list of high-frequency words that have recurrently appeared in previous SETRE. The results derived from an online lexical profiling tool, Text Inspector, and a range program are as follows: First, all of the SETRE, conducted in the last nineteen years, were above the C1 levels, corresponding to proficient users of English. Second, in terms of the text coverage, the GSL and AWL, as a pair, yielded around 90.37% distribution, falling short of the optimal range of 95% to 98% estimates. Third, under two parameters of range and lexical frequency, highly frequent core GSL and AWL word families along with technical words were compiled to highlight the discipline-specific features of the SETRE. In light of the findings, implications are discussed. Since this type of research does not yet exist, this study could lay notable groundwork for further investigation.
THE KINDERGARTEN HOSPITAL SCHOOL DURING THE COVID-19 PANDEMIC: A WEB LEARNING ENVIRONMENT (WEB-L-E) SUPPORTING EDUCATION CONTINUITY

THE KINDERGARTEN HOSPITAL SCHOOL DURING THE COVID-19 PANDEMIC: A WEB LEARNING ENVIRONMENT (WEB-L-E) SUPPORTING EDUCATION CONTINUITY
Research on Film Score’s Contribution to Storytelling・2 - An analysis of Francis Ford Coppola’s [The Godfather]

This paper forms the second part in a series of studies undertaking an active exploration of the contribution of a film score to the storytelling process. The Godfather directed by Francis Ford Coppola will be analyzed as follow-on research of an earlier study of Love Letter by Shunji Iwai. The scenario treatment in The Godfather was scripted by Francis Ford Coppola based on Mario Puzo’s original novel, and Nino Rota took part in the scoring, which was crucial during the conversion process into film form. The main themes of the storytelling of the film, The Godfather Waltz, New Godfather and Love Theme, were all composed by Nino Rota, presenting the core events of the film. We found that music contributes to the narrative and emotional flow with high relevance from an analysis of the relationship between these three themes and the main characters, focusing on musical participation by sequence. An analysis of frequency graphs of the themes by sequence also showed that the succession of the ‘godfather’ from ‘Vito’ to ‘Michael’ was presented by the strategic placement and use of themes. This indicates that the themes take part in the storytelling process of the film as importantly as the influences of the main characters. The Godfather presents the core events of the film via the strategic use of the main themes. We refer to this type of effect of film scores during storytelling as the ‘core style’.
&lt;i&gt;KEIROKA&lt;/i&gt; Assistive Effect of Tie-Stall Milking Robot

This paper first describes the outline of the tie-stall milking robot. We analyze the changes in the working style and workload of the farmers before and after the introduction of the robot using video images and activity measurement. Finally, we describe the effect of reducing the burden of introducing a robot and future issues.
The Role and Importance of the Author's Time in the System of the Literary Time

The  notion of author's time is rather complicated. On the basis of creative-aesthetic concept, the author creates his own world of literary time. Literary time is being considered as author’s subjective time. In other words, the author’s time, as the dictates of time created by the author gets universality due to its ideological and aesthetic significance is the quintessence of all forms, types, categories and methods of artistic time. These theoretical views were scientifically generalized on the examples of novels.
Building bridges between software ecosystems: Parselmouth, a Python interface for Praat

The value of software depends on more than just the intrinsic quality of the algorithms it implements. In order to be useful, existing software needs to be combinable with functionality in other software libraries. In particular, this holds for research software: modularity and the ability to be integrated in prominent existing software ecosystems are key to correct and easy reuse. Over the last few years, I have created Parselmouth, a Python library for Praat, a software package widely used in speech science. Compared to previous projects offering a thin interface to Praat, Parselmouth's goal is to provide a full-fledged Python library that integrates efficiently into the larger Python ecosystem. In this talk, I will briefly demonstrate Parselmouth and its functionality, then discuss the motivation to create Parselmouth, what different goals had to be considered, and why I believe the current solution strikes a desirable tradeoff between these conflicting goals. Moreover, after working out a technical solution, another important aspect is documenting, distributing, and publicizing the new software package, especially for the wildly varying user base of Praat. While Parselmouth still has a long way to go here, I will also give an overview of how I have approached these aspects.
A Study on the Evaluation Model of College Start-up Education in Holistic Education

본 연구는 홀리스틱 교육 관점에서 대학 창업교육 평가모형을 탐색하고, 이를 통해 향후 대학 창업교육 프로그램, 학습자의 역량, 지원 체제 등의 전반적인 운영과 평가를 수행할 수 있는 이론적 토대를 마련하는데 연구의 목적이 있다. 연구방법으로는 문헌연구법 및 내용분석법을 사용하여 국내·외 대학 창업교육 평가 관련 문헌 및 논문을 분석하였다. 주요 연구 내용으로는 홀리스틱적 관점에서의 창업교육평가의 개념, 창업교육의 역량, 대학 창업교육 평가의 대상 및 절차, 구성요소를 탐색하였다. 또한, 대학 창업교육 평가 지표를 개발하여 활발하게 사용하고 있는 중국의 대학 창업교육 평가 지표를 분석하였으며, 향후 우리나라 대학창업교육 평가 지표 개발 시 참고할 수 있도록 시사점을 도출하였다. 이 연구결과에 근거하여 홀리스틱 교육 관점에서 대학창업교육평가 모형을 제안하였다.The purpose of this study is to explore the evaluation model of university start-up education from the perspective of holistic education and to lay the theoretical foundation for performing overall operation and evaluation of university start-up education programs, learners competence, and support systems in the future. As research methods, literature and papers related to evaluation of start-up education in domestic and foreign universities were analyzed using literature research method and content analysis method. The main contents of this study were the concept of entrepreneurship education evaluation from a holistic perspective, the competence of entrepreneurship education, the object and procedure of university entrepreneurship education evaluation, and the components. In addition, the evaluation index of university start-up education in China, which uses the evaluation index of university start-up education, was analyzed, and implications were derived for the development of the evaluation index of university start-up education in Korea in the future. Based on the results of this study, a model for evaluating university start-up education was proposed from the perspective of holistic education.
The Application Research of Artificial Intelligence and Big Data Analysis Technology in University Foreign Language Teaching

Abstract In recent years, with the development of computer linguistics and artificial intelligence technology in the field of English education, the research methods and technical means of artificial intelligence big data analysis have been introduced into the research and practice of foreign language teaching. As a new element, artificial intelligence big data analysis provides a new approach and research perspective for foreign language teaching. In order to solve the problems of foreign language teaching resources sharing, optimizing teaching resources, improve the efficiency of foreign language topic teaching, and improving the interaction between teachers and students, based on the theoretical and practical research of foreign language teaching in colleges and universities, this paper uses artificial intelligence and big data technology, firstly classifies the artificial intelligence system of foreign language teaching in colleges and universities, secondly, it classifies the information technology of artificial intelligence in high school. The ability of information storage and information processing in college foreign language teaching is analyzed theoretically in computer language. The software and hardware design of the artificial intelligence information integrated system of college foreign language teaching is carried out. The results show that: relying on the design of the storage module and system server, the hardware design of the system is realized, and the software design of the system is realized based on the system running environment design and database design. Finally, the paper puts forward the countermeasures and suggestions for the development of AI in foreign language teaching.
College Libraries: Self-Quarantine Activities: Movies / Feature Films / Classics

Here are a few activities and resources to student, faculty and staff to cope while self-quarantining