Reviewerly/exHarmony huggingface dataset:
A new fractal watermarking method for images of text

A new method, using the orthogonal fractal coding is developed for fractal watermarking of high contrast, low-density images of texts. In this method, image is divided into one pixel height sub-images. Each sub-image is coded separately using the orthogonal fractal coding technique. A binary watermark is re-ordered using a chaotic sequence. The binary watermark is inserted into the range block means of fractal codes. This fractal code is further decoded to obtain the watermarked image. The watermark sequence is retrieved by comparing the original image and the watermarked code. The extracted watermark is re-ordered using the key of the chaotic sequence. The method is robust against JPEG and noise attacks and has a very low watermark visibility.
The Development of E-Learning Model for College Students in the Industrial Era 4.0

In this digital era, learning system in higher education in Indonesia has also shifted to the era of digitizing which is based on e-learning media.By the time, the Covid-19 pandemic has changed the education system in Indonesia, therefore the learning system of Higher Education is performed using online learning model by utilizing information technology.However, the Covid-19 pandemic was able to accelerate the Educational of Industrial Era 4.0 by combining automation technology with cyber technology.This is a trend of automation and data exchange in the technology of manufacturing.Lecturers and students can take advantage of technological developments such as computers, smartphones, internet, and e-learning as supporting media in online learning.One of the applications that can be used for online learning process is e-learning efront.E-learning efront is a Learning Management System that provides more display of interactive menus which can be adjusted for online learning of Indonesian Language courses in Wijaya Putra University.This paper is categorized as development research which aims to produce an online learning media for Indonesian Language course of Wijaya Putra University.Using Research and Development (R&D) method, testing activities in this validation are performed by lecturers and students.The assessment instrument used in this validation process is a questionnaire.This research uses qualitative and quantitative data.Qualitative data is the responses given by validator (Head of the Major Program) in the form both critics and suggestion about the learning media that being developed.Meanwhile, quantitative data is an assessment of online learning model instrument by respondents (lecturers and students) that is pointed by scale 1 to 5. Research activity plans: 1) Analyzing the needs of lecturers and students, together with RPP (lesson plans) for Indonesian Language courses, 2) Designing storyboards of online learning efront, 3) Preparing the learning materials, exercises, application menus of online learning efront, 4) The use of application in the learning process between lecturers and students, as well as students give assessments and suggestions, and 5) Conducting and revising product trials of online learning media efront with an assessment by lecturers and students.
Attribute-oriented Classification with Variable Importance using Random Forest Model

In the present century, various classification issues are raised with large data and most commonly used machine learning algorithms are failed in the classification process to get accurate results. Datamining techniques like ensemble, which is made up of individual classifiers for the classification process and to generate the new data as well. Random forest is one of the ensemble supervised machine learning technique and essentially used in numerous machine learning applications such as the classification of text and image data. It is popular since it collects more relevant features such as variable importance measure, Out-of-bag error etc. For the viable learning and classification of random forest, it is required to reduce the number of decision trees (Pruning) in the random forest. In this paper, we have presented systematic overview of random forest algorithm along with its application areas. In addition, we presented a brief review of machine learning algorithm proposed in the recent years. Animal classification is considered as an important problem and most of the recent studies are classifying the animals by taking the image dataset. But, very less work has been done on attribute-oriented animal classification and poses many challenges in the process of extracting the accurate features. We have taken a real-time dataset from the Kaggle to classify the animal by collecting the more relevant features with the help of variable importance measure metric and compared with the other popular machine learning models.
Open Education. Russian MOOC Platform. Prospects of Development

Open Education is Russian MOOC platforms. Just several countries have their own MOOC platforms. Russia is one of them. Currently, many of the best courses of this platform are doubled in Coursera. However, many other courses are published just in this platform and how no counterparts in the top world platforms. The MOOC platform has many prospects of development in Russia and other CIS counties due to famous lecturers from the best universities of Russia.
Fully Connected Neural Networks

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Evaluasi Sistem Penomoran Rekam Medis Menggunakan Metode Focus PDCA di RSUP Sanglah

The duplication of medical record numbers during February 2020 at Sanglah Hospital reachs 7 cases, it iscaused by the mistake of the officer register patients at SIMARS and the handling of duplicate cases that doesnot optimal. The purpose of this study was evaluated the patient's medical record numbering system used theFOCUS PDCA method at Sanglah Hospital. This type of the study is qualitative. The data collecting methodused in this study were observation and interviews. The data analysis stage in this research included aninvestigation stage to find, organized, clarify, understand, select, plan, do, check, dan action. The results ofthis study were duplicate cases that occur because patients were uncooperative when discussed with officers,patient did not register, officers were not thorough, authentication systems for patient search menu was notintegrated, the absence of regulations regarding the handling of cases of duplicate medical record numbers,and duplicate case reporting only limited to merge medical record files. The solutions chosen to solve theproblem were developing SIMARS registration menu, making SOP for handling duplicate cases of SanglahHospital medical records, and making menu recording and reporting of duplicate medical record numbercases in E-PASTI.The planning done is an analys of the needs of emergency room registration officers,discussion of SOP design for handling duplicate medical record number cases, and analys the staff's needsfor the development of E-PASTI that results. The next stage is to give an advice in the IT field to developSIMARS in the patient registration search menu, request SOP authorization for the handling of duplicatemedical record number cases for the head of the medical record, and implement the menu recording andreporting of duplicate medical record number case cases.
Financial fraud detection of the Egyptian companies annual reports using artificial bee colony algorithm

Due to the increasing fraud cases, especially in the financial statements and its huge negative impact on the economy as a whole, along with the absence of clear codes among the Egyptian companies to detect fraud. This paper examines the use of artificial bee colony (ABC) algorithm for extracting the most suitable feature subset of accounting ratios to detect fraud on a sample of 83 Egyptian companies from 2010-2017 combined with several classifiers. Results show that the application of ABC has a significant effect on reducing the accounting ratios with higher accuracy along with decreasing incorrectly classified cases and reducing the required CPU computational time across six different classifiers.
The impact of social media on business growth and performance in India

Until the late 1990’s the only type of media known to companies were television, newspapers and radio, but in the early 2000s, a revolution in media was seen and the world was exposed to Social Media. Social Media is a much like any other form of media is a medium used for communication but at the bigger scale for social engagement utilizing highly accessible and scalable communication methods. Social media has a good effect and a positive influence on the business as well as the consumers. Social media is becoming an important tool for marketers, which is at a very minimal cost. In today’s’ situation customers evaluate a business depending on their online presence, therefore organizations may innovate and concurrently build a strong social presented by constantly responding to their customers ’ wants and concerns. Internationally, businesses have embraced Social Media as an important tool for their marketing strategy; but the same is not adopted in India to a great degree. What are the advantages of Social media? What are the examples of Social media? This research explains the advantages, effect and significance of Social Media on company performance and growth.
Mali

Mali is a low-income fragile country facing significant development challenges that have intensified due to insurgency, terrorism, and social tensions. Implementation of the 2015 peace agreement is challenging, and the authorities have limited control over the North and Center regions. Mali’s social development could be further undermined by the recent instability and interethnic violence that complicates the government’s ability to implement basic social and poverty-reducing programs. The economic outlook for Mali remains positive but subject to important downside risks. The potential real growth rate is estimated at about 5 percent per year and inflation is expected to continue to be contained by the CFAF’s peg to the euro. Downside risks relate to the possible further deterioration of the security situation, potential shocks to the terms of trade (the price of gold, cotton, and fuels), and adverse weather conditions. In addition, a continued shortfall in domestically-financed public investment, if revenue mobilization does not improve as expected, could adversely affect growth potential and performance.
Automated Kannada Text Summarization using Sentence Features

There is a growing requirement for the text summarization due to the difficulty of managing exponential increase of information accessible on the World Wide Web. Text summarization is a process to extract the contents in the original text to the shorter form which provides important information to the user. The summarizer presented in this paper produces the extractive summaries of Kannada text documents. The proposed summarizer system considers five features to determine the important sentences in the document. The features used are Term Frequency, Term Frequency-Inverse Sentence Frequency, Keywords feature, Sentence length and Sentence position. The value of each feature is computed and score for each sentence in the document is the average of all the feature score values. The sentences with the top scores are selected to be included in the extractive summary. The results of the proposed model are evaluated using ROUGE toolkit to measure the performance based on F-score of generated summary. Experimental studies on custom-built dataset with 50 Kannada text documents shows significantly better performance in producing extractive summaries as compared to human summaries.
Evaluation of Midwife Health Worker Registration Program Based on the Midwifery Competency Test Using the CIPP Method

Indonesian Midwife Competency Test is a process that aims to measure the knowledge and attitudes of health workers following the standards of the midwifery profession.The purpose of this study is to improve the implementation of midwife staff registration programs based on competency tests by evaluating the implementation of midwife health worker registration programs based on competency tests on midwifery alumni in Palembang.The method used is CIPP (Context, Input, Process, Product).Data collection techniques with interviews to test the truth and stability of data and complete the information obtained by observation and documentation.The data analysis technique used was descriptive qualitative, and the interpretation was carried out continuously, repeatedly and consistently until all the data and information that was needed was fulfilled.The results showed that the evaluation of the midwife's health worker registration program based on the overall competency test in Palembang had been carried out properly and according to the procedure.It is expected that the midwife's health worker registration program will continue and be further improved.Evaluation of the Midwife Health Worker Registration Program based on the midwifery competency test using the CIPP method as a whole from the midwife health worker registration program in the city of Palembang has been carried out according to procedures and is excellent.It is hoped that the midwife's health worker registration program will continue and be further developed.
InSAR digital terrain models for mining areas based on Sentinel-1 imagery. A case study in Căliman area.

Although not intended at first, SAR satellite technology has been used for digital terrain models (DTM) generation and displacement monitoring for the last 30 years starting with the launch of the first RADAR imaging satellite by the European Spatial Agency (ESA), ERS-1.Currently, there is a suite of satellites available for these applications, with ESA's Sentinel-1 being one of the most accessible and exploited by scientists due to its wide and free of costs availability.The C-band repeatpass interferometer is considered unsuitable for DTM generation due to its acquisition geometry.In this study, a DTM based on Sentinel-1 imagery for the former sulphur quarry mine in Căliman Mountains is derived in order to demonstrate the potential of the dataset for time and cost effective monitoring of large areas.
Denoising in Magnetic Resonance Images using Improved Gaussian Smoothing Technique

Magnetic Resonance Images (MRI) are usually prone to noise like Rician and Gaussian noise. It is very difficult to perform image processing functions with the presence of noise. The objective of our work is to investigate the best method for denoising the MRI images. This study included 25 MRI subjects selected from the Open Access Series of Imaging Studies (OASIS) - 3 database. The 25 brain image subjects includes cases of both men and women aged 60 to 80. The input RGB image is first converted to gray scale image in which the contrast, sharpness, shadow and structure of the color of image are preserved. The proposed work uses an improved Gaussian smoothing technique for denoising Magnetic Resonance Images by constructing a modified mask for Gaussian smoothing. The performance of the proposed technique has been compared with various filters like median filter, Gaussian filter and Gabor filter. The performance evaluation was carried out by metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Structural Similarity (SSIM) index. The experimental results show that the Improved Gaussian Smoothing Technique (IGST) performs better than other methods. All experiments were conducted using Scikit Learn version 0.20 and Scikit Image version 0.14.1 under Python version 3.6.7.
Forensic Acquisition of IOS Devices

Apple devices are well known for their high-security features in terms of data storage. IOS devices have some restrictions for their usability. The device contains only internal memory and the users can back up their data into iCloud or iTunes. IOS devices are more secure when compared to other mobile devices. The IOS devices can also be jailbroken for the purpose of removing software restrictions and allows the installation of application from the unknown sources i.e., the app that are not unavailable in Apple App store. After jailbreaking, the device becomes vulnerable and lets the attacker to access the device. Apple provides both hardware and software patches to the vulnerabilities, which means many versions can’t be jailbreak so easily. To perform Forensic investigation on the IOS devices, even the forensic investigators need privilege escalation to access the data of the device. The tools which are used to investigate IOS devices are avail as commercial. This project proposes an opensource method to access the IOS device using SSH shell. After the successful mount of device, the data can be acquired for further forensic analysis. Based on the artifacts analysed, the investigators can be able to find the root cause of the crime.
A Heuristic Research of the Designing and Evaluation of Energy Efficiency using Dynamic VM Consolidation in Green Cloud Data Centres

Allotted computing is a blasting innovation that tenders effective assets, and smooth accessibility through web based processing. however, the growing wishes of clients for such administrations are convincing the cloud professional corporations to send huge portions of strength hungry server farms which element awful effect to the earth with the aid of the usage of plenteous Carbon Dioxide discharge. To limit control usage and strengthen the quality of service (QoS) inside the server farm assesses the strength usage in an assortment of plans in IaaS of dispensed computing situation. Dynamic Virtual Machines’ Consolidation and Placement(DVMCP) is an in a position strategies for enhancing using assets and proficient power usage in Cloud DataCenters. in this exploration, we proposed a calculation, Energy Conscious Greeny Cloud Dynamic (ECGCD) set of rules that accomplishes live VM relocation that is turning off the inert has or located it to lowcontrol mode (i.e., rest or hibernation),that builds up power productivity and succesful usage of property in the dynamic hosts. The take a look at stop result confirmations with duplicate that, the proposed calculation achieves good sized diploma of lower in electricity usage in correlation with the modern-day-day VM combination calculations.
Introduction to Digital Libraries

This tutorial is a thorough and deep introduction to the Digital Libraries (DL) field, providing a firm foundation: covering key concepts and terminology, as well as services, systems, technologies, methods, standards, projects, issues, and practices. It introduces and builds upon a firm theoretical foundation (starting with the '5S' set of intuitive aspects: Streams, Structures, Spaces, Scenarios, Societies), giving careful definitions and explanations of all the key parts of a 'minimal digital library', and expanding from that basis to cover key DL issues. Illustrations come from a set of case studies, including from multiple current projects, including with webpages, tweets, and social networks. Attendees will be exposed to four Morgan and Claypool books that elaborate on 5S, published 2012--2014. Complementing the coverage of 5S will be an overview of key aspects of the DELOS Reference Model and DL.org activities. Further, new material will be added on building digital libraries using container and cloud services, on developing a digital library for electronic theses and dissertations, and methods to integrate UX and DL design approaches.
Maximum Likelihood

Experimental data often distribute as Gaussians. The purpose of measuring quantities is to increase our confidence about the knowledge of a particular phenomena. It is important to recognise that we do not always need a measurement to know the value of a quantity. For example, the period T of a pendulum can be easily estimated by eye, and we would never consider the possibility of using an hourglass to obtain it. If we want to increase our knowledge about its value, we must choose an instrument, like a stopwatch, able to provide us with a better resolution, i.e., with less uncertainty, increasing the probability that the measured value \(T_0\) is closer to its true value. Thanks to the Bayes Theorem, the probability attached to each estimation, though subjective, can be formally computed, and even if it remains subjective, its value tends to be agreed upon by everyone. Most importantly, asymptotic results will be independent of our prior subjective knowledge. This chapter deals with the review of the meaning of the measurement process, leading to a formal justification of formulas used in the previous chapters. In this chapter we introduce a principle, according to which the result of an experiment is the one that maximises the probability of obtaining the observed data, at the same time introducing new and advanced programming techniques. In addition, we demonstrate the equivalence between the method of least squares and the method of maximum probability.
Analysis of Unsteady-State Temperature Distribution in Python Based Joglo Building

The shape of the roof of a building affects the temperature distribution of the building, if the shape of the roof of the building changes, the temperature distribution also changes.Joglo-roofed buildings are still very popular in Indonesia, especially for the people of Central Java.Joglo roof is a roof that has two different slope angles, and has a partner on the other side of the mirror.The angle in the meeting of two roofs on the same side must be greater than 180O.Unsteadystate heat equations can represent temperature distribution in joglo-roofed buildings.Using a finite difference scheme with the ghost point method that is solved numerically and uses the Quadratic Extrapolation approach, unsteady-state heat equations can be solved.The results of this simulation aim to be a reference that can be used by construction industry workers in the construction of buildings that have a joglo roof.This research results in the fact that the longer the time given, the high temperature value will decrease by itself due to heat distribution.
Privacy-preserving location-based service protocols with flexible access

We propose an efficient privacy-preserving, content-protecting location-based service (LBS) scheme. Our proposal gives refined data classification and uses generalised ElGamal to support flexible access to different data classes. We also make use of pseudo-random function (PRF) to protect users' position query. Since PRF is light-weight primitive, our proposal enables the cloud server to locate position efficiently while preserving the privacy of the queried position.