Reviewerly/exHarmony huggingface dataset:
University Logo Recognition Application Design Using Template Matching Method

A logo is a special symbol or symbol that represents a company or organization. A logo can be a name, symbol or other graphic element that is displayed visually [1]. All institutions have a logo, especially an educational institution, namely the University, but the university logo is rarely remembered by lecturers, students, or the public. To be able to remind and provide information about the university, the university logo scan application which will later be directed to the university link is considered by the author suitable to be made. This kind of research has been tested with high accuracy but does not use the University logo. This research will utilize Augmented Reality program design with slight modifications and apply the Template Matching method that will be made with the Unity Game Engine and Vuforia SDK. This research was successful as evidenced by the smooth installation of APK and good program performance. In addition, this study obtained 84% accuracy in the detection of markers (logos) which were known by the distance and focus of the camera. This research also gets 100% accuracy in the direction to the intended university link.&#x0D; Keywords: Logo, University, Matching Templates, Vuforia SDK, Unity Game Engine
Clustering Spatial Data via Mixture Models with Dynamic Weights

This article introduces a spatial mixture model for the modeling and clustering of georeferenced data. In this model, the spatial dependence of the data is taken into account through the mixture weights, which are modeled by logistic transformations of spatial coordinates. In this way, the observations are supposed to be independent but not identically distributed, their dependence being transferred to the parameters of these logistic functions. A specific EM algorithm is used for parameter estimation via the maximum likelihood method, which incorporates a Newton-Raphson algorithm for estimating the logistic functions coefficients. The experiments, carried out on synthetic images, give encouraging results in terms of segmentation accuracy.
PENERAPAN SISTEM KEAMANAN BERBASIS MIKROKONTROLER VIA PONSEL PADA MOTOR HONDA VARIO 110 CC

A b s t r a c t E a c h motor vehicle must have a security system. Modern Motorcycle safety system is the usual solution by the owners of motorists to ensure the safety of its vehicles. On the other hand, along with the development of technology, Handphone is one of technology that has various facilities  with B l u e t oo t h and Android application. By creating an Android application to install on the phone and add i n g a little bit of microcontroller based. The function of mobile phone not only for means of communication tools via voice or SMS but also can be used as a safety device on motorcycles. Keywords : Security system, Microcontroller
Studi Empiris Evaluasi Performa Website IAIN Salatiga Menggunakan Automated Software Testing

The purpose of this study is to determine the performance of the loading speed of the website, identify the factors that affect the test results, and suggest improvements that can be made to improve the loading speed performance of the IAIN Salatiga website. The research was conducted in four main stages, namely: website traffic observation, designing website performance testing scenarios, website performance testing, and website testing data analysis. Based on the test results, one of the causes of the poor performance assessment is because most of the load time is used to display the largest content on the website. Implementing images with the right size and format can improve website performance. The limitation of this study is that the test uses a free version of the application which has limitations in displaying test results. The results of this study can be used by academics and practitioners in the field of website evaluation studies and the findings of this study can be a concern for website developers in building a website.
Latvijas izglītības reformas vērtējums pedagogu vidē pamatskolas 1.–3. klasē: gadījuma analīzes piemērs

The 21st century is an essential time for changes in the society. Development of technologies, globalisation and the fading of national boundaries all contribute to a change of the educational paradigm. The changes also affect the Latvian education system as the implementation of the project “Competency approach in learning content” is in progress. The implementation of the new learning content has began on September 1 of the academic year 2020/2021. To determine the Primary school teachers’ (Grades 1-3) readiness for putting the changes into practice, a survey was conducted. The survey data analysis shows that the teachers admit that changes are necessary; meanwhile they believe that the implementation of changes is chaotic. Likewise, teachers are not insecure about the new learning content that is added to the curriculum. Teachers discuss problems such as information fragmentation, lack of technologies and learning materials, insufficient amount of lessons intended for a particular content as well as its influence on qualitative preparation of lessons.
On the Transferability of Winning Tickets in Non-Natural Image Datasets

We study the generalization properties of pruned neural networks that are the winners of the lottery ticket hypothesis on datasets of natural images. We analyse their potential under conditions in which training data is scarce and comes from a non-natural domain. Specifically, we investigate whether pruned models that are found on the popular CIFAR-10/100 and Fashion-MNIST datasets, generalize to seven different datasets that come from the fields of digital pathology and digital heritage. Our results show that there are significant benefits in transferring and training sparse architectures over larger parametrized models, since in all of our experiments pruned networks, winners of the lottery ticket hypothesis, significantly outperform their larger unpruned counterparts. These results suggest that winning initializations do contain inductive biases that are generic to some extent, although, as reported by our experiments on the biomedical datasets, their generalization properties can be more limiting than what has been so far observed in the literature.
Enhancing Security System of Short Message Service for Banking Transaction

SMS banking still becomes a popular way to make transaction inquiry in Indonesia. The technology protocol used by the service provider is still not secure. The majority of local banks in Indonesia still use non-secure SMS protocols standard. Therefore, an SMS Banking protocol, providing information security service in the transactional message, is urgently in need. Information security can be achieved through some security mechanisms, i.e., encipherment, digital signature, data integrity, and key exchange. These mechanisms are applicable through the implementation of cryptography. SMS Banking security protocol in this research runs through two steps. The first step is the transmission of the transaction request, and the second step is the transaction process. The encipherment is conducted using 3DES symmetric cryptography. Digital signature and data integrity are conducted using ECDSA asymmetric cryptography. The key exchange is conducted using ECDH. The test result showed that the implementation of the protocol could conduct an SMS Banking service and provide protection over the PIN. In general, this protocol has fulfilled X.800 security services.
Corporate Social Responsibility and the role of Rural Women in Sustainable Agricultural Development in sub-Saharan Africa: Evidence from the Niger Delta in Nigeria

Low productivity among female farmers when compared with their male counterparts is considered an outcome of limited access to agricultural land and inputs. The objective of this investigation was to assess the impact of multinational oil companies’ (MOCs’) CSR on rural women access to modern agricultural inputs in the Niger Delta, Nigeria. A total of 700 rural female farmers were sampled across the region. Results from the use of a logit model indicated that CSR recorded significant success in agricultural development generally, but has undermined equality. This implies that if a woman’s agricultural productivity is continuously hindered by unequal access to agricultural resources (or opportunities) and widespread inequality will limit poverty reduction efforts in Nigeria. The results also showed that women depended on CSR of MOCs for policy dialogue and advocacy for women’s access to agricultural land and inputs. Supporting agricultural initiatives that focus on empowering women would boost food security in sub-Saharan Africa.
METHODOLOGY AND STRATEGIES FOR MODERNIZATION OF THE LANGUAGE EDUCATIONAL POLICY IN THE CONTEXT OF SOCIO-CULTURAL TRADITIONS

This article is devoted to the study of the methodology and strategies for the modernization of education in the Russian and foreign sociocultural traditions. The modernization of the national education system in the Russian Federation actualizes the need for the analysis of socio-educational transformations in the mid-20th and early 21st centuries. This research has important theoretical and practical significance for determining the strategy for the comprehensive modernization of Russian and some foreign educational systems. The methodological significance of the study lies in the need for analytical reconstruction of the multidimensional modernization and educational reforms. It is important to trace the chronological and analytical correlation of the evolution of Russian and international studies of educational systems at this historical stage in the framework of the sociocultural development.
On the Formation of the Ability to Perceive the Depth, Volume and Spatial Perspective of Flat Images as a Basic Component of the Technology for the Human Creative Potential Development

This article identifies new opportunities for initiating human creativity through activation of visual perception. It considers the possibility of increasing the level of creativity through the indirect formation of visual constructs when referring to the associative thinking of students. It shows that the potential development of creativity is due to the level of the subject development and the ability to perceive any flat images with the effects of depth, volume, and spatial perspective (hereinafter referred to as the 3D phenomenon). The results of student learning and testing students in grades 7-11 of one of the schools (Gymnasium) in Kazan are presented. Technology patents were obtained on training and surveys.
Shared Learning from Potentially Preventable Events

Background: In our summer 2019 SPS site visit, we learned from another hospital about their potentially preventable event (PPE) process and modified this to fit our institution’s needs and culture. Objective: We aimed to catalog and share learnings across the institution from a variety of predefined PPE types. Methods: From July 19, 2020 to February 3, 2020, our PPEs (40% VAE, 28% CLABSI, 19% unplanned extubations, 7% PIVIE, 2% fall, 2% pressure injury) were shared across the institution. Our team includes information from the charted bundle compliance as well as the apparent cause analyses and root cause analyses (both the discussion and the anonymous surveys sent to team members about any opportunities that may exist). Each PPE includes a short description of the event and a bulleted list of “lessons learned” which are shared in our monthly quality meeting, in safety coach meetings, and in leader communications. Select PPEs are shared in our leader communications as a potential story with which to begin their meetings, in our weekly standard shift huddle template for all units, and in our bimonthly in-person Children’s Hospital Event Review. Results: The use of this tool serves to condense our events and stories into a succinct “lessons learned” for all care team members and to be sure our leaders are aware of every predefined PPE. Conclusions: Our SPS site visit led us to pursue this useful tool at no additional cost, which has helped us organize and share our lessons learned with our care team members.Fig. 1.: Fishbone (ishikawa) diagram of apparent causes and lessons learned from potentially preventable events over 1 year.
Novel Real-time Safety Algorithm for Predicting Danger-ous Targets on the Driving region in the Unstructured Road

A certain number of people die every year from traffic accidents on unstructured farmland roads. Detection and prediction of dangerous targets could help to reduce accidents. A novel real-time algorithm based on YOLACT, a combination of GPM and RCM, was proposed to achieve the goal. On this basis, a self-collected data set of 5000 test samples is used for testing. In addition, we have carried out experiments on actual roads. The results showed that, targets on the road could be detected, tracked and predicted. The detect accuracy of algorithm in the data set could reach up to 90%, the processing speed to 30.4 fps. This study can be used for automatic driving and assisted driving.
Do You Have Password Headaches? You Are Not Alone, and It Is Unnecessary!

At least once a year — but every two or three months in many offices, the Better Business Bureau even recommended changing very month — we all receive the corporate email telling us our network passwords are expiring and it’s time to create a new one.The logic is straightforward. If a hacker happens to discover your password, the amount of time during which he or she can do damage is limited. In addition, frequently changing your password may make it less likely somebody will guess it.But none of this matches reality. For starters, if a hacker discovers your password, they don’t wait months, weeks, days or even hours to take advantage of it. They quickly move through the organization — both laterally and vertically — rapidly harvesting many more passwords along the way. So changing passwords once a year, once a month, even every few days is too late to prevent serious damage.
The Impact of Online Class in Learning Satisfaction among Optometry Students

Purpose : Due to COVID-19, the institution has made all its learning remote. Hence, this study aimed to investigate how the quality of online learning, learning environment and factors impacting grades impact student satisfaction among optometry students. Methods : An online survey was conducted from 18 January, 2020 until 29 January of the same year, and analysis was conducted on a total of 112 current student responses out of 120 students (61 males, 51 females). The correlation between satisfaction for online learning and other factors were analyzed, and a multiple regression analysis was conducted in order to ascertain the causative influences of these factors. SPSS was used as the analysis program. Results : One of the biggest advantages of online learning identified in this study was the ability to repeat learning (31 responses, 27.7%). The biggest disadvantage, on the other hand, was loss of focus (52 responses, 46.4%). The quality of lessons depending on the year of study and the impact of online lessons on grades were identified as statistically significant factors (p=0.011). There was a statistically significant correlation between the quality of lessons, environment of online learning, factors impacting grade and student satisfaction (p<0.001), and it was found that lesson environment had the biggest impact on student satisfaction (p=0.002). Conclusion : In conclusion, the study has identified learning environment as a significant factor in student satisfaction. Therefore, an improvement in learning environment, including improving the quality of sound and video of lectures, LMS system and notifications will be needed to ensure an optimum learning environment and student satisfaction. In addition, although it can‘t represent the satisfaction of online classes for optometry students nationwide, it is necessary to increase learning satisfaction by considering environmental factors in a situation where online classes must be continued due to COVID-19.
Ukrainian dactyl alphabet gesture recognition using convolutional neural networks with 3d convolutions

The technology, which is implemented with cross platform tools, is proposed for modeling of gesture units of sign language, animation between states of gesture units with a combination of gestures (words). Implemented technology simulates sequence of gestures using virtual spatial hand model and performs recognition of dactyl items from camera input using trained on collected training dataset set convolutional neural network, based on the MobileNetv3 architecture, and with the optimal configuration of layers and network parameters. On the collected test dataset accuracy of over 98% is achieved.
Sistem Informasi Geografis Industri Kecil Dan Menengah (IKM) Pada Kota Jayapura

The development of Small and Medium Industries (IKM) in a region is one of the efforts to encourage regional economic growth. The development of IKM in Jayapura City itself has increased from year to year. However, the current condition, the existence and location of IKM is still difficult to reach by the general public due to the lack of information about the (IKM) itself. The purpose of this research is to build a geographic information system as a means of society to get information about IKM in Jayapura City. The process of analyzing geographic information system data in this study was clustered data into three parts, namely input data, data classification and output data. This study uses the analysis method of Performance, Information, Economy, Control, Efficiency and Service (PIECES) to identify problems, design the Unified Modeling Language (UML) method, use the Waterfall development method and the Black Box testing method. This research produces a Small and Medium Industry (IKM) Geographical Information System in Jayapura City which is equipped with maps, travel routes and descriptions of the IKM chosen by the user or community. With this system, it can help and minimize people's time in finding information on the location of IKM
ON FOUNDATIONS OF STUDYING “MATHEMATICAL ANALYSIS” AT UNIVERSITIES

The article explores the problem of improving the quality of mathematical education at universities. Recent frequent transitions to various Federal State Educational Standards, the shift of the learning vector towards obtaining new scientific knowledge, and recently possible long-term distance learning, suggest that a modern bachelor has such qualities as the ability to work effectively and cope with a large flow of information. Unfortunately, not all students due to various reasons are ready to meet new requirements (especially freshmen, since at the present stage the thinking operations that underlie the organization of educational actions cease to develop effectively already at school: school education has other priorities). Almost all mathematical disciplines are connected by basic concepts (vector, matrix, determinant, limit, derivative, integral, continuity, etc.), therefore, the main task at the first stage of teaching mathematics at a university, in our opinion, is to “cement” basic concepts with their transformation in subsequent courses into the foundation of studying other disciplines. The motivational component of this process, as shown by many years of experience, is the initial keen interest in the subject of study, which arises when solving simple, unusual and interesting problems (examples of such problems are given in the article). While studying “Mathematical Analysis”, it is proposed to place in-depth emphasis on its basic concepts, such as the limit of sequence, integral, etc. The set of notions is justified both from the point of view of the content of sections of mathematical analysis, and from the point of view of interdisciplinary connections of mathematical disciplines studied later. These are the cornerstones of all mathematics. Without exaggeration, it can be stated that the degree of understanding by students of such mathematical phenomena depends on the result of the subsequent work of teachers, and, therefore, the totality of knowledge and scientific knowledge of future graduates, the high potential of which will allow them to successfully realize themselves in professional occupation.
Hamiltonian Tomography via Quantum Quench

We show that it is possible to uniquely reconstruct a generic many-body local Hamiltonian from a single pair of generic initial and final states related by evolving with the Hamiltonian for any time interval. We then propose a practical version of the protocol involving multiple pairs of such initial and final states. Using the eigenstate thermalization hypothesis, we provide bounds on the protocol's performance and stability against errors from measurements and in the ansatz of the Hamiltonian. The protocol is efficient (requiring experimental resources scaling polynomially with system size in general and constant with system size given translation symmetry) and thus enables analog and digital quantum simulators to verify implementation of a putative Hamiltonian.
Exploring Blasius and Falkner-Skan Equations with Python

The solution of Blasius Equation with various numerical methods is reviewed. The Falkner-Skan equation is also solved with these methods. The application methods range from classical Euler, Runge-Kutta, to Artificial Intelligence Machine Learning methods. The code for each method is available for verification in python scripting language.
Aplikasi Pengawasan Peserta JKN-KIS pada Divisi Kepesertaan BPJS Kesehatan Kantor Cabang Utama Palembang

At the Social Security Administration Agency (BPJS) for Health at the Palembang Main Branch office, there are obstacles, namely in the Participation Information BPJS Kesehatan previously did not have an application to monitor activities so that employees still manually use Excel and do not have graphics that make it easier for employees to find out why data is often problematic. So the purpose of this study is to make an application to make it easier for BPJS Kesehatan employees to speed up the Participation Information process using PHP (Hypertext Preprocessor), JavaScript, Bootstrap, and XAMPP. And the system development method uses the Prototype method, as for the results of this study, namely the Web-Based Participation Supervision Application at the BPJS Kesehatan Palembang Main Branch Office will make it easier to filter membership data and BPJS employees in the field of membership can find out problematic data often due to what.
THE EXAMINATION OF THE INFLUENCE OF NEURAL NETWORK &#x0D; PARAMETERS ON THE QUALITY OF SIMPLE IMAGE RECOGNITION

The article considers and analyzes the main parameters of artificial neural networks with a small number of neurons and hidden layers, then selects the optimal values of these parameters for recognizing simple images. Graphs are constructed in accordance with the results of parameter studies