Reviewerly/exHarmony huggingface dataset:
ЗАСТОСУВАННЯ МУЛЬТИМЕДІЙНИХ ТЕХНОЛОГІЙ ДЛЯ СТВОРЕННЯ ЕЛЕКТРОННОГО НАВЧАЛЬНОГО ВИДАННЯ

&lt;p&gt;&lt;em&gt;One of the main ways to reorganize the educational process in the field of education and science is to make changes related to rapid technological progress. A priority for teachers is the need to keep the student's attention on new material and meet his / her needs for constantly updated, up-to-date information. The leading tool in achieving these goals is the digitization of the educational process: it involves the translation of content in all its forms - text, graphics, audio - in a digital format, which makes it easy to transport the material of offline publications by any channel of electronic communication.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The purpose of this work is to determine the functionality of the multimedia environment in the process of editorial preparation of e-learning publications in foreign experience. The stated purpose implies the fulfillment of the following tasks: analyze the selected e-learning edition and determine the list of basic multimedia elements.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Research methods. Due to the multidimensionality of the chosen topic, such methods as the method of terminological analysis was used to develop the conceptual apparatus; synthesis method - to identify the foundations of editorial training multimedia educational publications; methods of analogy and systematization - to characterize trends in the development of multimedia publications; a descriptive method for presenting an analysis of a selected publication and a comparative method for identifying features of multimedia educational publications and comparing them with traditional (paper) counterparts. The scientific novelty of the work is to determine the methodology of editing the multimedia textbook for college students and students, as well as to evaluate the functionality of the multimedia publication, its features and methods of preparation.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Key words:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; e-learning publication, multimedia, multimedia educational publication, editing.&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Productivity Comparison among Software Projects

Software engineering management (SEM) involves as activities to planning, coordinating, measuring, monitoring, and controlling. Since maximizing productivity is related to the highest value with lowest resource consumption, a factor taken into account in these activities is productivity, which includes total effort used to satisfy the exit criteria of a software process. In recent years, productivity has been studied from several points of view; therefore, the contribution of this study is analyze its variability by classifying the software projects based on their size measure, type of development, development platform, and programming language type such that the SEM activities are more objective. In this study, data sets of software projects were selected from the International Software Benchmarking Standards Group Release 2018 for performing the following three experiments between types of development, and by type of size measure: (1) independent of both the type of development platform and of the programming language type, (2) dependent of the type of development platform, and independent of the programming language type, and (3) dependent of both the type of development platform and of the programming language type. Results show the statistically significant differences by experiment.
A positioning method for the optimal seam in binocular visual image stitching

Image stitching technology is an important technology for generating large field of view images, and it is also a research hotspot in the field of digital image processing. Binocular imaging technology is closely related to image stitching technology and is widely used in robot vision, 3D reconstruction and other fields. However, in the existing image stitching methods, when the image with the distant view and the near object are coexisted, due to the parallax, the near object often has partial missing or unnatural transition, which leads to the poor image stitching effect and low naturalness. Aiming at this problem, we uses the characteristics of the binocular camera that can obtain depth information, and regards the information as one of the basis of the seam positioning. A strategy based on the combination of geometry, color and depth features is proposed, and we constructed a seaming algorithm model for positioning the optimal seam. The comparison experiment results show that the stitching naturalness is improved by 37% according to the proposed seaming algorithm.
The Development of Learning Media Based On Visual Using Snake and Ladder Board Games to the Learning Outcomes of Early Age Children in TK Karya Darma Medan

This study aims to: produce visual based learning media product that are feasible to use, easily learned by students and can be used for early of childhood.This type of research is developing the Borg and Gall product development model of Dick and Carey's learning design model.The result of the study showed: (1) the expert test was very good qualification (93,13%), (2) the learning design expert qualifications were very good ( 93,13%), (3) the test media learning expert qualifications were very good ( 93,75%), ( 4) individual qualification trials are very good (95,16%), ( 5) small group trials of very good qualifications (96,01%), ( 6) field trials are limited to very good qualifications (96,12%), and is suitable for use in the process of learning early of childhood.The result of hypothesis testing prove that there are significant differences between student learning outcomes learned by using media products with student learning outcomes learned without using media product.This is indicated by the results of data processing obtained by t-count = 4,782 > t table = 1,679, with dk = 9 at the significance level α = 0.05.It was concluded that the group learning outcomes of students who were taught using visual based learning media product using snake and ladder board games were 82,3% higher than the group of students who were taught without learning media product of 80,0.
Fuzzy Logic Clustering Modeling of Surface Soil Parameters Based on Georesistivity Profiles and Geology Techniques

This research generally aims to develop a model that can simplify and streamline the investigation of surface soil work in particular knowing the characteristics of soil layers based on electrical resistivity.Problems that occur many construction failures are caused by exploitation of land use that exceeds the carrying capacity of the land, for example, the use of land originating from peat, swamps or lakes which often occurs land suddenly.Therefore, to achieve accurate soil data, a good soil investigation is needed and a georesistivity method can interpret soil properties and determine stratigraphy and characteristics of soil layers.The qualitative and quantitative research methods used consist of field research based on soil resistivity values and laboratory investigations that use conventional soil investigations as a comparison and as a reference to get detailed results on the soil layer while the results obtained from measurements on the georesistivity profile to a depth of 15 m.Testing the results of engineering geological drilling to a depth of 15 m, obtained 4 types of soil CH, CL, MH and ML.The results are in clusters using artificial intelligence algorithms and formed into 4 clusters which in total have 47 members.
The Influence of Pillar Form to Local Mechanism

Basically, rivers have a dynamic flow character that often causes changes in flow morphology.The pillar is one form of water that can affect changes in flow patterns, because its presence obstructs river flow.Changes in flow patterns that occur can result in scouring around the pillars.The purpose of this study to determine the effect of a pillar of the local scour potential that occur around the pillar with the discharge, Q = 1.0 liter/ s and know the pattern and depth of scour around the pillar.The study was conducted on permanent uniform flow conditions with variations in the shape of the pillars.The pillar shape variations used are cylinder, rectangular and rectangular wide shape nose.The study was conducted at the Laboratory of civil engineering hydraulics, Universitas Sumatera Utara (USU), using a flume (length: 8 m, height: 0.3 m and width: 0.076 m).The material used in the form of sand, with model tested for 250 minutes for running.The observation results obtained the value of the maximum scour depth on the cylinder, rectangular and rectangular wide shape nose with discharge, Q = 1.0 liter/ s respectively are 25 mm, 30 mm, and 39 mm.
Modern Tendencies In Partnerships Between Art And Business In Russia

The article reveals the general tendencies in the phenomenon of Art Collaboration in Russia during the 3-year period beginning in 2017. Its goal is to determine which types of brands and visual artists tend to collaborate and the objectives that they set for these interactions. The study analysed approximately 50 art collaborations involving Russian visual artists and/or Russian companies that took place in Russia. The origin, industries and price segment of brands that initiated creative partnerships with artists were defined. The study produced interesting findings: contrary to popular belief, mass-market brands cooperated with visual artists 4 times more often than luxury ones. The origin, age, gender and media of the collaborating artists were indicated. The study showed that brands tried to reach a young target audience, and that the artists engaged in creative partnership were therefore from a younger age group; nevertheless, they were strong art brands with a vast reference public. The study also showed the categories of art products that resulted from creative partnerships. The inquiry intended to determine whether there was any interrelation between the industry of the company and the artist’s media, as well as the type of art collaboration that resulted.
ERROR ANALYSIS ON THE USE OF PAST TENSE IN NARRATIVE TEXT

The purpose of this study is to analyze students' mistakes about using past tense in Narrative texts based on problems that make students feel confused about using past tense in their writing, especially Narrative texts. The research method is descriptive qualitative. The subject of research researchers chose grade 8 (2019/2020) at SMP Pasundan Medan. The results showed that the researcher found four types of errors: omission, additions, misinformation, misordering. Then, the researchers found the highest error made by students was misinformation with a percentage of 53%. This problem is influenced by students feeling confused to understand the simple past because they do not know the meaning and difference between regular verbs and irregular verbs. Therefore, students claim that they rarely practice writing paragraphs.
Data Forensics On Social Media

Authorship Attribution (AA), is a process to identify an author based on input text data given to the system based on its characteristics is a problem with a long history. In this project, we study the problem of authorship attribution for forensic purposes and present machine learning techniques and stylometric features of the author tweets. For this purpose micro-blogging site Twitter is taken for experimentation purpose. On this site people share their ideas, likes, dislikes, interest, opinion, thoughts in the form of short messages called tweets. More than thousand tweets are posted every second and the possibility of sensitive, illicit text sharing cannot be ignored. This system downloads live twitter tweets, and takes text file as the input. The text file contains tweets of random author. Our system finds that that tweet downloaded belongs to which author. For classification of the author some important features are used. Important features include calculation of smiley, calculation of stop words, calculation of punctuations, and calculation of similarity words. Basically this system is divided into two stage process, where in the first stage, stylometric information is extracted from the collected dataset and in the second stage classification algorithm is trained to predict authors of unseen text. The effort is to find out which combination of features help in accurate prediction of the author thus maximizing the accuracy of predictions with optimum amount of data.
A System for Assessment of Students Performance at College of Computers and Information Technology, Taif University

It is very important to find an automated method to assess and evaluate the students' performance in each curriculum.In this paper, the general framework of a system, fully automated, to collect and assess the student's outcomes is presented.The main goal is to automate the data collection and analysis process.Also, the system is designed to represent a repository of the assessment data, programs information and all manuals related to the assessment process details and the system itself.The system was able to reduce the manual work to the be minimal and enabled the instructors and different committee to access the assessment and evaluation data for the current and previous years.
Perbandingan Algoritma Boyer-Moore dan Brute Force pada Pencarian Kamus Besar Bahasa Indonesia Berbasis Android

String matching is an algorithm for matching a text to another text or also known as a text search. There are several algorithms that can be used for string matching, including the Boyer-Moore algorithm and the Brute Force algorithm. The Boyer-Moore algorithm is a string matching algorithm published by Robert S. Boyer and J. Strother Moore in 1977. This algorithm is considered the most efficient algorithm in general applications. The Boyer-Moore algorithm starts matching characters from the pattern on the right. While the Brute Force algorithm is an algorithm that matches a pattern with all text between 0 and n-m to find the existence of a pattern in the text. These two algorithms have different patterns in the search process. In this article, a comparative analysis of the performance of the Boyer-Moore and Brute Force algorithms is carried out in a case study of the search for the Big Indonesian Dictionary (KBBI) based on Android. The search process is carried out by searching based on words and word descriptions. The results of this study indicate that the criteria for running time, the Brute Force algorithm is faster than the Boyer-Moore algorithm with the total running time of the Brute Force algorithm is 168.3 ms in words, 6994.16 ms in word descriptions, while the Boyer-Moore algorithm for running time reached 304.7 ms on the word, 8654.77 ms on the word description. In the testing criteria based on related keywords, the two algorithms can display the same list of related keywords.
Common Vector Approach Based Image Gradients Computation for Edge Detection

In this study, the concept of Common Vector Approach (CVA) is adopted for image gradients computation in terms of revealing edge maps stated on images. Firstly, noise stated on image is smoothed by Gaussian filtering, secondly gradient map computation using CVA is carried out, then the angle and direction maps are obtained from the gradient map and lastly peak points are selected and a smart routing procedure is performed to linking them. With an unusual methodology, the derivatives of image through vertical and horizontal directions have obtained by utilizing the CVA, which is the crucial step and gained the novelty to this work. To compare results objectively, we have judged the performance with respect to a comparison metric called ROC Curve analysis. As a contribution to the edge detection area, CVA-ED presents satisfactory results and edge maps produced can be used in the tasks of object tracking, motion estimation and image retrieval.
New Approaches to Vocational Guidance at School in the Changing World of Professions

Effective professional orientation of school students is considered as a prerequisite for their professional self-determination and achieving a state of success in the field of professional education. The barriers that prevent modern Russian schools from coping with the task of vocational guidance for school students are shown. Among them are overloaded teachers, undeveloped network links with universities, colleges, labour organizations, word force fluidity, and others. The author reveals the institutional prerequisites for developing new approaches to school career guidance. The article analyses the foreign experience of implementing vocational guidance for schoolchildren and shows its connection with their educational success.
Anatomy segmentation evaluation with sparse ground truth data

The performance and evaluation of segmentation algorithms will benefit from large fully annotated data sets, but the heavy workload of manual contouring is unrealistic in clinical and research practice. In this work, we propose a method of automatically creating pseudo ground truth (p-GT) segmentations of anatomical objects from given sparse manually annotated slices and utilize them to evaluate actual segmentations. Sparse slices are selected spatially evenly on the whole slice range of the target object, where one slice is selected to conduct manual annotation and the next t slices are skipped, repeating this process starting from one end of the object to its other end. A shape-based interpolation (SI) strategy and an object-specific 2D U-net based deep learning (DL) strategy are investigated to create p-GT. The largest t value where the created p-GT is considered to be not statistically significantly different from the actual ground with its natural imprecision due to variability in manually specified ground truth is determined as the optimal t for the considered object. Experiments are conducted on ~300 computed tomography (CT) studies involving two objects – cervical esophagus and mandible and two segmentation evaluation metrics – Dice Coefficient and average symmetric boundary distance. Results show that the DL strategy overwhelmingly outperforms the SI strategy, where ~95% and ~66-83% of manual workload can be reduced without sacrificing evaluation accuracy compared to actual ground truth data via the DL and SI strategies respectively. Furthermore, the p-GT with optimal t is able to evaluate actual segmentations with accurate metric values.
THE INFLUENCE OF APPLICATION OF LECTURE METHOD ON LEARNING OUTCOMES OF STUDENT FINANCIAL LITERACY

The importance of financial literacy knowledge for elementary school children is needed, but the right method is needed to teach it. This experimental research seeks to measure empirically the extent of the effectiveness of the lecture method on the ability of students to understand each material being taught. The stages of the study were conducted using the pre-test and post-test methods and by using the same participants as many as 31 elementary school students. The results showed that there was a significant influence on the ability of students to understand each lesson delivered (after receiving treatment)
Analisa Pembayaran Perkuliahan Dengan Virtual Account Pada Universitas Raharja

In the academic world, every educational institution must have a tuition payment system, and with the rapid technological advances nowadays, educational institutions are required to create systems that are effective and efficient and relevant to current technology which will make it superior in competition within the scope of relevant agencies. At Raharja University, lecture payments still use a conventional system where transfer students and campus staff check which is considered less efficient. In this study, the writer uses a SWOT analysis between the virtual account payment system and the running system. The purpose of this study is to recommend the use of a Virtual Account in the payment of lectures at Raharja University. This research is expected to be a problem solving alternative that makes it easier for students to make financial payments, as well as facilitate campus monitoring of campus payments.
Analisis Resolusi Spasial Citra Ultrasonograﬁ (USG) pada Arah Tangensial Radias Citra menggunakan Phantom Berbasis Silicon Rubber

Ultrasound is widely used in diagnostic imaging, therefore quality control(QC) of ultrasound images is important. One of the QC parameter is spatial resolution that can be analyzed by calculating the distance between two nearby object in the tangential direction of radiation. The image that is produced by the Curved Array transducer will produce a circular shaped image and the coordinates of the object isn’t in the cartesian coordinate system because it adapts to the surface of the transducer. The image must be transformed with a circle equation approach to calculate the distance between two nearby object. This study was using a Mindray 3D ultrasound model: DP-10 with Transducer model: 35C50EB, and phantom instruments made from a mixture of 99 ml silicon rubber and 1 ml catalyst. The acquisition data used a fixed frequency of 4.5 MHz with a gain variation of 168 dB, 182 dB, 202 dB and a depth variation of 3.3 cm, 4.9 cm, 5.7 cm. The result found that the measurement of objects in A area had an error of 0.8963%(0.087 mm),B area was 1.2979%(0.0779 mm), and C area was 2.6296%( 0.1183 mm). The values obtained still meet the standards set by American Association of Physicist in Medicine(AAPM).
File Carving Survey on Techniques, Tools and Areas of Use

In digital and computer forensics, file carving is a very hot research topic. That is the main reason why the research is needed to be focused on improving file carving techniques, so that digital investigation can obtain important data and evidence from damaged or corrupted storage media. In the digital forensic investigation, analyzing the unallocated space of storage media is necessary to extract the deleted or pre-written files when the file system metadata is missing or corrupted. Data carving can be defined as a method to recover the file from unallocated space based on different factors such as file type, information of the file (Header/Footer), or the contents of the file. Research in this area focuses on technological improvements in terms of tools and techniques over the past years. The studies examine different techniques of data carving, especially multimedia files (eg. images and videos). The work file carving is classified into three categories classic carving techniques, intelligent carving techniques and smart carving techniques. Moreover, there are seven popular multimedia carving tools that are mostly used and experimentally evaluated are presented. We conclude that proposing new advanced method for carving multimedia files still open and new direction for future research. This is because the fragmentations and compression are very commons used and useful for these kind of files.
A quasi-conformal mapping-based data augmentation technique for improving deep learning techniques on brain tumor segmentation

Deep neural networks (DNNs) have been widely used in the medical imaging field. The large and high quality dataset is crucial for the performance of the deep learning models, but the medical data and ground-truth is often insufficient and very expensive in terms of time and human effort on the data collection. However, we can improve the performance of the deep learning model by augmenting the data we already have. In this work, we introduce a novel differential geometry-based quasi conformal (QC) mapping augmentation technique to augment the brain tumor images. The QC method lets the user specify or randomly generate a complex-valued function on the image domain via Beltrami coefficient. By solving the Beltrami equation with given Beltrami coefficient, the QC map, which can further guide the deformation of the image, is able to generate all possible linear and non-linear image warpings and it is flexible to allow the user to fully control the global and local deformations. Our experimental results demonstrate the efficiency and efficacy of the proposed method.