Reviewerly/exHarmony huggingface dataset:
Introduction to Netlify CMS

Before we dive into the specifics about Netlify CMS, let’s look at a few introductory topics. These include the JAMstack, the Netlify service, and the content management systems in general. From there, we’ll start looking at Netlify CMS itself.
Challenges in the In-situ Deflectometric Measurement of Optical Surfaces

The phase measuring deflectometry is a powerful technique for the in-situ measurement of of complex optics. Its measurement accuracy is comparable with conventional interferometry, but with higher flexibility, stability and efficiency. The three main challenges in the deflectometric measurement, namely the position-angle uncertainty in calculating the pixel correspondences, height-slope ambiguity in specifying the normal vectors, and rank deficiency in surface reconstruction are analyzed. Some significant error factors and effective solutions are introduced. The measuring accuracy of complex surfaces can achieve a level of 100 nm RMS.
Challenges and Opportunities with ECC and Noncommutative Cryptography: A Survey Perspective

Due rapid growth in technological tools and techniques, there are various required considerations to take in the field of information security. The buzzwords of security and privacy are always being important observations in that regards. If consider the overall scenario Elliptic Curve Cryptography (ECC) is releasing one of the most powerful algorithm in relation to better performance and security related concerns than RSA algorithm. It is working as light-weight cryptography due to following reasons such as low computation costs, use of shorter key sizes, and the discrete logarithmic problem is nearly is hard to achieve on computational complexities. With ECC algorithm, to implement the same with noncommutative cryptography assumptions, which is one of the possible generalizations on noncommutative properties, that adds valuable research contributions in perfect secrecy. The prospective thoughts are considered in relation to the same.
Smart healthcare system for COVID-19 using internet of things

The growing populace and an ascent in endless disease incurring strain on medicinal services frameworks Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus As the disease is highly infectious and spreads even by touching doctors even face a tough situation to monitor the infected patients The innovations in Internet of Things has pulled in much consideration recently for its capability to mitigate the strain on not only in medical domain also in other sensitive domains Institutionalization is a key issue constraining advancement around there, and along these lines this paper proposes a standard model for monitoring the infected patients remotely This analysis paper at that point exhibits the best in class explore identifying with every territory of the model, assessing their qualities, shortcomings, and general reasonableness for a wearable IOT human services framework Difficulties that human services IOT faces including security, protection, wear ability, and low-control operation are displayed, and proposals are made for future research headings © 2020 by Advance Scientific Research
병영가요의 대화적 가능성 - 바흐친의 대화이론을 중심으로-

This research aimed to search the interactive possibility of “New-age Military Song” - shortened as NMS - which is a fresh attempt of military song through Bakhtin’s dialogism. Military song have been utilized as a useful tool to establish the mental strength of the Military personnel. However, the vast gap between the lofty and noble ideals of battle hymn lyrics and the interests of soldiers led them to lose understanding and interest towards military song. For the soldiers no longer answer to the call of military song, it can be diagnosed that the communication between military song and soldiers has been cut off. In response, the army tried a new attempt to revive the military song through NMS. NMS, which left its production including but not limited to theme, lyrics, and composition of the songs in the hands of soldiers, opened a window that let out soldiers’ interests and their true inner voice and confirmed that it could be an alternative to the dying out military song. In addition, by analyzing NMS with Bakhtin’s Dialogism, it was affirmed that NMS has the interactive possibility which responds to the original military song, connects the superiors and subordinates, helps soldiers overcome their physical limits, and lets them realize the meaning of their military service. Furthermore, Bakhtin’s dialogism, which is widely used in diverse cultural studies, could be certified as a useful paradigm in analyzing military culture.
Modern algorithm of neural networks

This paper deals with researches and literature reviews on Deep Neural Network. In the area of biometrics, identification, access- control, enforcement, digital identification, surveillance devices and face recognition (FR), defining the technique of human beings using facial imaging, is a multitude of hands-on applications. Coevolutionary neural networks (Cov-Nets) have proved to be efficient for FR, a type of deep networks. Any pre-processing procedures, such as sampling, must be taken for real-time systems prior to use in Cov-Nets. However, full images (all pixel values) are also transferred to Cov-Nets as input and all steps are performed by the network (feature collection, function filtering, training). That's why Cov-Nets is always difficult and time-consuming to introduce. Cov-Nets are at a rising level, with very little precision, but they have a high potential reach. This paper offers a new perspective on the use of a deep neural network for facial recognition. A new approach is being developed in this paper. In this approach, facial features that are extracted are provided as input instead of raw pixel values. This decreases the complexity and gives the Yale data set quality of 97.05 percent.
Estimation of Strong Ground Motion by the Causative Fault of the Gyeongju Earthquake in 2016

At 19:44 on September 12, 2016, an earthquake with ML 5.1 occurred in the Gyeongju area, South Korea. In about 50 minutes, the mainshock with ML 5.8 occurred. The Gyeongju earthquake is the largest instrumental one since the Korea Meteorological Administration started its formal earthquake reporting around the Korean Peninsula in 1978. The geological survey near the epicenter showed no evidence of surface faulting. The geometry of the causative fault of the Gyeongju earthquake could be inferred in detail from the distribution of aftershocks. So the fault can be regarded as a seismogenic source.We modeled the causative fault of the Gyeongju earthquake using the data available to date, and simulated strong ground motions based on the stochastic and empirical Green’s function techniques. The hypothetical seismic wave transmission information beneath the site of interest was assumed. We assumed MW 6.5 to be the maximum earthquake potential of the causative fault based on historical earthquakes around Gyeongju area. According to the assumed magnitude, the size of the causative fault could be varied. The sensitivity analysis of parameters such as the ratio of fault length to width, stress drop, and so on was performed.
Teaching Improvement in Studio on Feasibility Study of Sewage Disposal Project

Yang, H.X.; Chen, X., and Chen, L.P., 2020. Teaching improvement in studio on feasibility study of sewage disposal project. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 94–100. Coconut Creek (Florida), ISSN 0749-0208.The major of environmental engineering is to train applied interdisciplinary talents, the feasibility study ability of project is the core that management specialty students must master. How to improve the project assessment ability to sewage disposal projects, and promote the teaching methods of studios are common concern of teachers and students. Based on the studio teaching mode of the existing sewage disposal project, this paper investigates the satisfaction of the student in studio and does an analysis with the PLS-SEM. The reliability and validity of questionnaire data were verified by SPSS statistical analysis. Through the analysis, the paper built a model and made parameter estimation by PLS 2.0 software. According to the result of a comprehensive evaluation, the perceived quality was found to have the strongest correlation with satisfaction. Finally, some suggestions for improvement of the studio teaching were given.
Peningkatan keterampilan menulis deskripsi melalui model concept sentence kelas II sekolah dasar

Abstract . This study aimed to increase the descriptive writing skill by using the Concept Sentence model of the second-grade students at Public Elementary School Karangasem II Surakarta in the academic year 2018/2019. The subjects of this study are one teacher and 29-second grade students at Public Elementary School II Surakarta. The type of this research is classroom action research. This research consists of two cycles and every cycle consists of four stages. They are; planning, action, observation, and reflection. In collecting data, the researcher uses: observation, interview, test, and documentation. The data validity test techniques used are; source triangulation, technical triangulation, and content validity. The data analysis technique used in this study is interactive analysis model including data reduction, data display and drawing a conclusion. The finding of this study shows that the application of Concept Sentence model can improve descriptive writing skills students. It can be compared to the  score result in  the pretest and each cycle. In pretest, the classical completeness score of the descriptive writing skill is 13,79%  and then up to 76,42 in the cycle 1, and the score gained in cycle II is 86,21%. It can be concluded that the use of Sentence model can improve the descriptive writing skills of the second grade students at Public elementary School Karangasem II Surakarta in the academic year 2018/2019. Keyword: descriptive writing skills, Concept Sentence model
Managing Controlled Unclassified Information (CUI) in Research Institutions

In order to operate in a regulated world, researchers need to ensure compliance with ever-evolving landscape of information security regulations and best practices. This work explains the challenges of Controlled Unclassified Information (CUI) and introduces a managed research ecosystem, REED+. The workflow of this cost effective framework is presented to demonstrate how controlled research data are processed to be compliant with one of the highest level of cybersecurity in a campus environment. The framework serves as a reference model for other institutions to support CUI research. The awareness and training program developed from this work will be shared with other institutions to build a bigger CUI ecosystem.
PENINGKATAN HASIL BELAJAR PADA MATA PELAJARAN PKN MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE STUDENT FACILITATOR AND EXPLAINING DI KELAS V SDN 02 TALAWI HILIR

Based on Student Learning Outcomes of Class V SDN 02 Talawi Hilir in PKN Subjects it was found that Student Learning Outcomes in PKN Subjects was still very low. The purpose of this study was to describe and obtain information about Student Learning Outcomes Improvement in PKN Subjects through the cooperative learning model type Student Facilitator and Explaining in Class V SDN 02 Talawi Hilir. This research is a class action research. Research procedures in this study include planning, action, observation and reflection. This research consisted of two cycles with four meetings. The research subjects consisted of 29 students of Class V SDN 02 Talawi Hilir. Research data were collected using Observation sheets. Data were analyzed using percentages. Based on the results of the research and discussion that has been presented in the previous chapter, it can be concluded that it can be concluded that the model of demonstration learning can improve student learning outcomes in the subjects of the National Education School in Class V SDN 02 Talawi Hilir. Student Learning Outcomes from cycle I to cycle II. Student learning outcomes in the first cycle was 73.79 (enough) increased to 82.76 (good) with an increase of 8.97 (good).
Subject Research, Course Guides, Documentation: Hyperlinked Stories with Twine: Introduction

This guide introduces Twine as a lightweight and open-source tool to craft your own hyperlinked stories and games.
The Cause of Sports Injury in Colleges and Universities and Its Safety Protection Technology

Sports not only promote the health of the body, but also have the risk of sports injury or even sudden death. The occurrence of sports injuries on campus not only has a direct bearing on the physical and mental health of students, but also affects the smooth development of sports work on campus. The physical activities in Colleges and universities are to exercise the physical quality of students and guarantee their health. However, in the process of sports, there are often all kinds of sports injuries or injuries. Therefore, it is necessary to analyze the causes of sports injuries in Colleges and universities, so as to formulate effective preventive measures. This paper mainly discusses the causes of sports injuries in Colleges and universities and the ways of safety protection.
Research on Public Sentiment Data Center Based on Key Technology of Big Data

Through the construction of public opinion data center as the research object, a series of data acquisition, monitoring and analysis and mining tasks based on public opinion information can provide natural language processing functions such as web data crawling and monitoring, web data parsing, text data preprocessing, text analysis and mining. Research shows that automatic summarization technology, event recognition technology, event context combing and emotion analysis technology can be based on text mining algorithm to achieve automatic keyword extraction, content simplification, similarity calculation, tracking and monitoring, and subjective text with emotional color analysis has a very good application value and efficiency.
MOBILE APPLICATION FOR SKIN CARE PERSONALIZATION AT JASMINE BEAUTY CLINIC USING ANDROID

Jasmine Beauty Clinic is a beauty clinic that serves consultation on facial skin problems, maintain facial skin, facial treatments, and selling skin care products. Patients who want to have consultation, treatments, and buy skin care products must come to the clinic with limited time according to the schedule of the clinic. Patients are required to have a consultation with a dermatologist before getting treatment or buying products, but they have to wait long enough to get a consultation because of the large number of patients. Often some patients cannot have consultations because the dermatologist’s schedule is full. Based on this problem, an Android-based application is created to analyze the type of skin they have and get recommendation on which product and treatment combination they are supposed to use.
A Framework for Private Hospitals Service Cost Recommendation Based on Page Ranking Technique

The Search engine is a software program designed to identify and respond to specific questions called keywords and display relevant informational data available on the web. Thousands of websites are available but we want only specific information. The Solution is a search engine, it will find the relevant information related to that keyword and display that information in an aggregated format. With the rapid growth of data and information sources on the internet, finding the relevant and required information is becoming more tedious as well as important for internet users, for this reason, web mining is becoming popular day by day. We proposed a system for private hospital cost aggregation for hospital recommendation system by page ranking algorithm. Sample results are collected. This paper gives depictions of different web mining methodology. It gives an examination of three classifications of web mining. The page ranking algorithm assumes a noteworthy job in making the client look route less demanding in the after-effects of a web crawler. The correlation rundown of different page rank algorithms is recorded in this paper which helps in the best usage web assets by giving expected data to the guides. For performance evaluation, we have collected samples as well as real-time data set from UCI data repository and hospitals. For case 1 and case 2 implementation is done in python with numpy package and panda’s package. For Case 3 implementation is done in python as well as C#. Deep learning methodology can be applied for greater efficiency and accuracy. The improved result can be in the range of 85 to 95%.
Online Hybrid Motion Planning for Unmanned Aerial Vehicles in Planar Environments

Motion planning for unmanned aerial vehicles (UAVs) in an obstacle-cluttered environment for target interception/rendezvous has been a problem of growing importance. Several offline deterministic and sampling-based planners have been presented in literature to address this issue. However, online motion planners gained paramount importance due to their inherent feedback mechanism. Following this, several guidance algorithms and collision avoidance algorithms have been presented in literature. But, very few literature have merged them to come up with a holistic online motion planner. Even among them, realistic turn capabilities of UAVs have been largely ignored. Also, they rely on the near-collision-course geometry between the UAV and the target. To obviate these limitations, this paper presents an online hybrid motion planner for a constant-speed UAV in a 2-D obstacle-cluttered environment that combines a global planner with local planners for online collision avoidance with obstacles. Specifically, this paper investigates the performance of combinations of the most widely studied guidance, proportional navigation, as global planner with three seminal local planners for collision avoidance based on the potential field, velocity obstacle and collision cone concepts. Extensive simulation studies help elucidate the performance comparison of these three hybrid motion planning algorithms in terms of four crucial measures of effectiveness (MOEs) - target interception time, minimum obstacle distance, overall control effort and computational cycle time. Discussion about the effectiveness of these three online hybrid algorithms under different considerations of these MOEs exhibits their potential in real-time motion planning and control for real-life UAV applications.
Flower Garden in Full Bloom, Multiple Streams Flowing through the Ground

This paper provides an outline of research papers on modern Korean history published in recent years (2018-2019). In the introductory section, we confirmed how much research papers and books were produced. During the two years, 2,059 research papers and 426 books have been published. The researchers who wrote these papers belong to one of the four schools. The new right school of history represented the interests of the ruling class. They are politically extremely conservative. The nationalist school of history is mainly composed of researchers majoring in the history of the independence movement. They are oriented towards gradual reform of the society. The people-oriented school of history is based on the theory of historical materialism, and has a politically radical tendency. The postmodernist school of history is regarded as the most attractive theory and methodology leading the study of modern and contemporary history. The majority of young researchers support this school.
이스라엘의 사이버 안보전략과 한국에의 함의

This paper is to analyse Israel’s cyber security strategy and its implications for the ROK. To this end the paper is composed of 5 chapters titled introduction; the concept of cyber security and the growing security threats; the cyber security strategy of Israel; the implications of the Israeli cyber security strategy to the ROK; and conclusion. The Israeli government recognizes the importance of cyber security and puts it at the center of national security policy. Israel''s cyber security ecosystem consists of government, military, business and university. The reason why Israel is a cyber power can be summed up as ①the efficient use of personal resources, ②the military service that makes it self-confident, ③the development of power based on the three-factor experience, and ④the development of a four-fusion weapons system.　Israel''s cyber security strategy gives significant implications regarding ①the increased efficiency of military education to foster personnel for cyber security, ②the establishment of joint civil, governmental, military, military, military, academic and academic responses to cyber crimes, and war, and the enhancement of synergy, and ③the readjustment of laws and systems related to cyber security. Today, cyber security threats are seen as leaks and spread of national secrets and personal information, realization of direct attacks on infrastructure control systems, and the rise of hacktivism with political and social purposes, and in South Korea, the threat of North Korea from the division of the two Koreas is added. In short, we should continuously improve and reinforce the systematic improvements such as the enactment and revision of related laws, the reinforcing of joint responses at national level, the establishment and activation of information sharing system, the development of infrastructure through industrial development and human resources development, and the securing defensive measure by strengthening research and development, etc.
Using Homomorphic hashes in coded blockchains

One of the scalability issues of blockchains is the increase of their sizes which can prevent users from storing them and thus from contributing to the decentralization effort. Recent works developed the concept of coded blockchains, which allow users to store only some coded fragments of the blockchains. However, this solution is not protected against malicious nodes that can propagate erroneous coded fragments. We propose in the paper to add homomorphic hashesto this system. This allows for instantaneous detection of erroneous fragments and thus avoids decoding with wrong data. We describe the integration of this mechanism in coded blockchains and we evaluate its complexity theoretically and by simulation.
Securing and Sharing Apps

Sharing applications in Power Apps is as easy as sharing a document in Word or an email. In this chapter, you’ll learn how to share your applications with others and how to invite others to collaborate on those canvas applications. You can share applications with internal or external users, but they must have a license.