Reviewerly/exHarmony huggingface dataset:
Metode Grayscale Co-occurrence Matrix (GLCM) Untuk Klasifikasi Jenis Daun Jambu Air Menggunakan Algoritma Neural Network

The color and shape of leaves each different plant water rose so that it can be found a certain texture to classify. This study uses an image texture recognition leaves to be classified. Leaves used are three types of guava leaves, Bunton 3 Green Guava, Guava and Guava image Bol. Feature extraction process used a method is Gray Level Co-Occurrence Matrix (GLCM) with Matlab tool. GLCM is used to retrieve the value of the image attribute or value matrix. This study uses a Neural Network algorithm with a tool RapidMiner. One alternative solution to the above problems is by way of classifying types of guava leaf water by looking at the characteristics of the water guava leaves. Leaf is one of the characteristics of the plant that is easily recognizable. The classification process is to produce a good accuracy value against bunton guava leaves 3 green, pink bol, and guava image. The results showed that the level of accuracy in the guava leaf bol is 81.25%, bunton leaves 3 Green 75%, and 80% leaf image and the total value of the overall accuracy of 78.89%. Thus the above results show that the value of the accuracy of the resulting research shows three types of guava leaf water has been classified and deserves to be investigated.
Geophysical online monitoring of copper ores for silver's detection at Kazakhmys Corporation LLC

Summary The paper discusses the results of methodological, instrumental and experimental investigations on solving the problem of effective geophysical online monitoring of copper-containing ore deposits. These deposits consist of the main (Cu, Pb, Zn) and related (Ag, Cd, Mo) ore&apos;s components so mining enterprises of Corporation Kazakhmys LLC developed an analysis and information system to provide controlled management of silver mining. The main problems are: low (from 1+ ppm) silver content in the ores of most deposits; complex elemental composition of ores; high (up to 7 m) faces&apos; thick, which need to be tested with vertical sections (for example, deposits Zhezkazgan and Zhaman-Aybat). The basic research method is X-ray fluorescence method with such tools as the energy dispersive X-ray fluorescence spectrometers: portable RPT-12Т (34 elements) and laboratory RPP-21Т (31 elements). The majority of the measurements were performed using RPP-12T on samples: exploratio n well, reference hand pieces, coarsely ground car probes at the Zhezkazgan processing plant, powder geological samples and state standard reference samples of ores. The research results are tabulated with mandatory comparison of the data of the RPP-12T and RPP-21T spectrometers with the data of chemical analyzes. Studies have shown that the task of ensuring a controlled silver mining process in ores has been successfully solved: silver is effectively determined, starting with the contents of 1+ ppm.
UPAYA MENINGKATKAN HASIL BELAJAR PKn MELALUI MODEL PEMBELAJARAN SCRAMBLE SISWA DI SDN 13 MUARA KUANG

The research subjects were grade V students of SD Negeri 13 Muara Kuang, totaling 17 students. Methods of data collection in the form of tests, observations, and documentation. The data analysis technique used is descriptive quantitative and qualitative. The indicators of the success of the action are marked by 75% of the number of students who take part in the learning process that have obtained KKM scores. Based on the results of the tests in the implementation of learning with a scramble model, students who achieved a value of ≥75 were 70.59% in the first cycle and increased to 88.24% in the second cycle. The action was dismissed in the second cycle because it had reached the criteria of success.
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms

The presence of false positives (FPs) in detection of clustered microcalcifications (MCs) in mammograms can negatively affect the performance in computer-aided diagnosis (CADx) for breast cancer. The level of FPs is typically controlled in a trade-off with the detection sensitivity by an operating point in detection. However, due to inter-patient variability, the occurrence of FPs can become exceedingly high among some cases when the operating point is set at a reasonable sensitivity level. We propose a strategy for automatically limiting the level of FP detections on a case-by-case basis. We first estimate the number of FPs among the detected MCs in a given lesion, then adjust the operating point if the FP fraction is determined to exceed an allowance level. We demonstrated this strategy on a set of 188 FFDM images. The results show that it can lead a significant improvement in accuracy in differentiating MC lesions as being benign or malignant based on the detected MCs.
SISTEM INFORMASI PENJUALAN DENGAN MENERAPKAN METODE SALES FORCE AUTOMATION

The sales process is the most important part of the product manufacturer or the company being ditributor. Conventional sales system by the way telephone or consumer come directly to know the available or not the product needed to make consumers should take the time to do that. Such conditions can also lead to consumer dissatisfaction especially if the desired item is unavailable. Dissatisfaction with customer service can affect the indication of declining sales turnover. For that, the company needs a website-based sales information system that can be accessed by consumers anytime and anywhere so that it can expand its marketing area, and can facilitate salespeople to conduct promotions to Community. This research produces the sales information system by implementing a sales Force Automation (SFA) method which is expected to maximize the sales and focus of services to customers.
Analisa Proses Drawing Pada Pembentukan Asbak Dengan Kuping Berbentuk Alur

The design of the press tool is one of the practice courses that teach the skill in designing tool forming and cutting the product from the plate. The quality of the design is determined by the ability to apply the design procedure. Competence is widely applied in the design of drawing prints with a certain level of product complexity. Practice activity of designing drawing drawing of students of Engineering Design Program of Mechanical Polytechnic of State of Bangka Belitung done conventionally, where only using drawing table or computerized depiction software then printed on drawing paper. This results in frequent errors in student design drawings. To overcome these problems required drawing prints that can form a specific product such as ashtrays, with the aim of producing a construction drawing print that can be applied and utilized in the teaching of press tool design. The method of making this tool consists of data collection, concept making, tool design, machining &amp; testing. Based on the results of trials that have been done, carried out on 10 blank by using a lubricant in the form of vegetable oil. Of the 10 experiments the formation showed that the central pool of ashtrays can be perfectly formed, while 4 pieces of the grooves on the ear of the ashtray have not been formed well where there are still folds or curves that are not regular.
Apresentação: questões de Aquisição da Linguagem (Presentation: Language Acquisition issues)

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Predicting Stealthy Watermarks in Files Using Deep Learning

Digital evidence is a fundamental element in cyber-forensics and judicial processes. However, the work of forensic examiners is becoming more challenging as the volume digital content and files increases. In this paper, we use machine learning especially deep learning to detect stealthy watermarks in various types of files. We use a black box approach which is different from current steganographic and cryptographic methods to find patterns of candidate file locations for hidden data We studied Deep Neural Networks (DNN) to predict stealthy watermarks in files using the deep learning implementation (DL4J) and Multilayer Perceptron (MLP) algorithms as implemented in Weka. We evaluated MLP models by altering the number of neurons and hidden layers while the DL4J models were evaluated by varying the number of dense layers and nodes. For the MLP models, DOCX & PPTX singleton models predicted stealthy watermarks in files with predictive accuracies ranging from 47.5% to 100%; JPEG singleton models registered predictive accuracies ranging from 35% to 65%. Comparatively, HYBRID3 models had predictive accuracies ranging from 42.5% to 95% while HYBRID_OOXML had predictive accuracies of 47.5% to 100%. However, JPEG_DOCX had predictive accuracies 47.5% to 97.5% while JPEG_PPTX had predictive accuracies of 40% to 85%. Furthermore for DL4J models, we only generated HYBRID3 models, which predicted stealthy watermarks in DOCX files with predictive accuracies 100%. The HYBRID3 DL4J model predicted stealthy watermarks in PPTX with predictive accuracies ranging from 55% to 82 % while in JPEG, the predictive accuracies from 50% to 52.5%. The major finding with deep learning also revealed improvements in prediction of stealthy watermarks in PPTX files using DL4J models.
Teaching Material for Human Literacy: Multicultural-Charged Explanatory Text for Reducing Social Conﬂict

Languageisasocialphenomenonthatisnotseparatefromthespeakercommunity.The existence of text represents the speaker in various interaction functions. This research was conducted to produce Indonesian language material with multicultural content to reduce social conﬂict in the younger generation and optimize the implementation of the 2013 curriculum. The subject of this research is teaching materials for explanatory textsinwhichtherearerealmulticulturalvaluesinsociety.Researchdatawascollected through a focus group discussion between researchers and a number of Indonesian languageteachers.Thedevelopmentofafactualmodelwascarriedoutbyresearchers with a team of Indonesian Language lecturers with reference to the ﬁndings of the theoretical teaching material model. Indonesian teaching materials with multicultural content in reducing social conﬂict in the younger generation are developed in aspects of content, language, and presentation. The diversity of the Indonesian nation on the one hand has a positive value, but on the other hand it stores negative values that are unavoidable as innovations in the aspect of content. The diversity of the Indonesian peopleturnedouttobevulnerabletoactsofviolenceduetosocialconﬂict,especially intheyoungergeneration.Multiculturalawarenessisneededontheyounggeneration of Indonesia through learning Indonesian as a form of humanist literacy.
Conservation Text As an Indonesian Course Teaching Material: Conservation-Based Curriculum Innovation

Conservation texts meet the expression of the language upon which conservation events are presented related to the university’s vision (UNNES) of conservation. In the conservation text, there is a language expression of being environment-friendly and noble character values. Theoretically, the interrelations between environment and language are studied in ecolinguistics. This study aims to describe the form of conservation text as a teaching material of the Indonesian general course as an innovative conservation-based curriculum. This research employed ecolingustics design. The data collection was done through several methods including book study and documentation. The analysis of the data used distributional and referential methods. The conservation text can be used as teaching material of general course of Indonesian Language on forms of: (1) news text (2) regulation text, (3) literary text, (4) songtext/lyric,(5)comictext,and(6)slogantext.Inaddition,inthe conservationtextit can be identiﬁed also its functions, namely: (1) to inform, (2) to provide legal umbrella, (3)tocriticize,(4)toentertain,and(5)toencourage.Theresultsofthisstudycontribute to the nature of Indonesian course teaching material based on conservation and also contribute in the ﬁeld of language learning.
Effective Electronic Human Resource Management For Educational Institutions

For any organization may it be a school, college, hospital, industry or any organization, the major task is to identify the roles and responsibilities of individuals in the organization.Earlier details are maintained as hard coded handwritten ledgers and documents which were difficult and cumbersome in maintenance and verification.In the Recent years, many companies have transformed to digital method of handling employee information.This paper discusses about one such digital maintenance with the need for digitization and benefits.The effective way of implementation is also discussed with relevant screen captures.
Character Education Through School Literacy Program in Elementary School

This study aimed to explore the character education through the school literacy program in Elementary School. This research is motivated by the importance of character education, one of them was school literacy program in elementary school. This research was a descriptive research with qualitative approach. Research subjects were principals, teachers, school literacy teams, and students at Muhammadiyah Sapen Elementary School in Yogyakarta. Data collection techniques used in this study were observation, interview, and documentation. Technique of examination of data validity used triangulation. The analysis technique used inductive analysis technique, that is analysis which depart from data and boils down to general conclusions. The steps of data analysis include: data reduction, unitization and categorization, display data,andconclusions.TheresultsshowedthatliteracyactivitiesatSDMuhammadiyah Sapen Yogyakarta had been implemented long before the government launched the school literacy program. Literacy activities at the school are implemented by maximizing collaboration between teachers and school librarians. Along with the school literacy movement program from the government, the school ﬁx the literacy activities undertaken. School literacy movement activities conducted in 3 stages of habituation, development, and learning. In school literacy movement there are values of character that are grown the responsibility, discipline, appreciate achievement, conﬁdence, creative, reading, and communicative.
A Doubly-Masked-Ballot Multi-questions Voting Scheme with Distributed Trust

We propose an electronic voting scheme for multiple questions voting based on masked ballots, homomorph counting, publicly verifiable secret sharing based tallying and public communication channels. In our scheme all on-line authority functions (authentication, candidate slate check, counting and tallying) are distributed among the active voters. Off-line authorities only prepare and distribute election secrets. We analyze our scheme for different adversary attacks and show that the maximum that the strongest adversary can achieve is a random attack.
Immunity of photovoltaic installation on electromagnetic surge disturbances

The work analyzes the correctness of the functioning of the photovoltaic system with a rated electrical power of 3500 W, consisting of 14 photovoltaic modules and a power electronic converter in the form of a single phase voltage inverter equipped with a maximum power point tracking system, disturbed by voltage stroke. The voltage surge with the parameters 1.2/50 µs, simulating a lightning discharge, was introduced into the system from the power grid side. For the purpose of computer simulation performed in Matlab/Simulink, the recommendations included in the PN-EN 61000-4-5 standard "Immunity of the surge disturbances" were used. Significant changes in the voltage and current on the AC side, related to the system of energy return to the power grid were shown.
A Choropleth Map Classification Scheme with Control of Robustness for Uncertain Geographical Attributes

Abstract. Choropleth mapping visualizes geographical data by grouping map units into a few classes and assigning different colors, shades or patterns to each class. Traditional choropleth mapping method assumes that the data to be displayed are certain. However, many geographical attributes contain uncertainty. For example, attributes generated from survey results may contain sampling error, and data summarized based on statistic inferences usually have a confidence interval. In recent years, some efforts have been made to study choropleth maps for uncertain geographical attributes. Existing research mainly focuses on identifying the class breaks that optimize the within-class homogeneity or between-class separability. These studies have paid little attention to the evaluation of the possibility that each areal unit might be placed in a wrong class due to its associated uncertainty. This paper addresses this issue by proposing a new choropleth mapping scheme that explicitly incorporates robustness. Given a user specified acceptable robustness level that defines the maximum tolerance of misplacement, this paper provides a maximum likelihood estimation-based method to determine the optimal class breaks. A discretization method is introduced to solve the optimization model and generate class breaks. The method is applied to map the American Community Survey 5-year estimated county-level income data with normally distributed uncertainty in the United States at various robustness levels. Results are compared with the theoretical lower bound to show the effectiveness of the discretization method. The relationship between the proposed method and the existing approaches is discussed.
Visual-Inertial Odometer-Based Global High Precision Indoor Human Navigation in a University Library

Abstract. AR (Augmented Reality) could be realized as a basic and high-level function on latest smartphones with a reasonable price. AR enables users to experience consistent three-dimensional (3D) spaces co-existing with 3D real and virtual objects with sensing real 3D environments and reconstructing them in the virtual world through a camera. The accuracy of sensing real 3D environments using an AR function, that is, visual-inertial odometer, of a smartphone is extremely higher than one of a GPS receiver on it, and can be less than one centimeter. However, current common AR applications generally focus on “small” real 3D spaces, not large real 3D spaces. In other words, most of the current AR applications are not designed for uses based on a geographic coordinate system.We proposed a global extension of the visual-inertial odometer with an image recognition function of geo-referenced image markers installed in real 3D spaces. Examples of geo-referenced image markers can be generated from analog guide boards existing in the real world. We tested this framework of a global extension of the visual-inertial odometer embedded in a smartphone on the first floor in the central library of Akita University. The geo-referenced image markers such as floor map boards and book categories sign boards were registered in a database of 3D geo-referenced real-world scene images. Our prototype system developed on a smartphone, that is, iPhone XS, Apple Inc., could first recognized a floor map board (Fig. 1), and could determine the 3D precise distance and direction of the smartphone from the central position of the floor map board in a local 3D coordinate space with the origin point as the central positon of the board. Then, the system could convert the relative precise position and the relative direction of the smartphone’s camera in a local coordinate space into a global precise location and orientation of it. A subject was walking the first floor in the building of the library with a world tracking function of the smartphone. The experimental result shows that the error of tracking a real 3D space of a global coordinate system was accumulated, but not bad. The accumulated error was only about 30 centimeters after the subject’s walking about 30 meters (Fig. 2). We are now planning to improve our prototype system in the accuracy of indoor navigation with calibrating the location and orientation of a smartphone based sequential recognitions of multiple referenced scene image markers which have already existed for a general user services of the library before developing this proposed new services. As the conclusion, the experiment’s result of testing our prototype system was impressive, we are now preparing a more practical high-precision LBS which enables a user to be navigated to the exact location of a book of a user’s interest in a bookshelf on a floor with AR and floor map interfaces.
Recognition of Variety for $100 Malaya Japanese Invasion Money Pick Number M8a: Capital Block Letter M and Number of Ropes

In this paper varieties which have not been described in numismatic reference book of the World War II Remembered-History in Your Hands-A Numismatic Study and numismatic major catalogues of Pick and KN Boon are introduced. It is shown that the $100 Malaya Japanese Invasion Money, Pick number &amp;ldquo;M8a&amp;rdquo; (Pick # M8a) has other types of varieties by scoping their capital block letter &amp;ldquo;M&amp;rdquo; and &amp;ldquo;number of ropes&amp;rdquo; respectively. The recognition of variety on paper money is an important problem for private collectors and numismatic researchers responsible for the classification of numismatic collections. The paper presents a research approach for recognizing unlisted varieties in paper money of M8a. Using convenience sampling, 81 pieces of the $100 M8a were analysed for the dimension, faceplate, backplate and block letter. This paper provides an insight for Japanese Invasion Money collectors to be aware of regarding the new varieties found from the paper money.
jmpegg 1.0 – the pure java implementation of the MPEG-G ISO/IEC 23092 standard

jmpegg library provides MPEG-G files encoding/decoding features. The library is written in a pure java language without external dependencies. The library also supports conversion between MPEG-G and well-known genomic formats.
A New Approach to Teaching C++ Programming for Cartography Students by Means Training Programs with Emphasizing Cartography and Geodesy

Abstract. A new course of C++ programming for cartographers and surveyors has been developed. Pedagogical experiments were carried out in the period of 2009–2019 in Moscow State University of Geodesy and Cartography. The new course focuses on the use of cartographic tasks and geodetic exercises to illustrate various programming language constructions. Direct and inverse geodetic problem, position determination via a topographic map, work with a theodolite when performing angular measurements, leveling, etc. are considered in training modules. Programs are used as supporting data during the lectures, and as tasks for practical. This is the main purpose of the training. Currently, more than fifty training programs are used in the training process. All programs contain no more than 60 lines of code to ease the understanding of the program by students. The examples the typical training programs for students studying the C++ are discussed. The first program Theodolite is designed to study the concept of class, constructor, destructor, and object-oriented programming in general. The second program focuses to solve the inverse of the geodetic task.