Reviewerly/exHarmony huggingface dataset:
Machine Learning and Augmented Reality on iOS Devices with MLARKit Framework

Machine learning is a technology that requires a significant amount of computing power and therefore is not efficient in terms of energy consumption. The equivalent may be applied to the technology of augmented reality which impacts in contrast not only the processor but also the camera, accelerometer, and gyroscope. Moreover, due to the work with the visual effects, the speed of computing truly matters to the latter. In recent years it has become possible to use these technologies on mobile devices due to the grand efficiency optimizations. The problem these days is that it requires an imposing amount of resources for engineers to spend on the development of the experiences with the use of technologies mentioned above.The solution developed is the next step in simplifying the process of integration of such experiences in mobile applications for the iOS operating system. While Core ML and AR Kit provide a simple and comprehensive interface for the basic machine learning and augmented reality routines, the new framework – Machine Learning Augmented Reality Kit (MLARKit) – provides the same simplicity and flexibility for the engineers in terms of the two tasks: replacing real objects with the virtual ones and marking of recognized objects or images in augmented reality which are widely used in modern mobile applications as the additional functionality. With the use of the above-mentioned framework, the integration of such experience comes down to the conformance of the only protocol which provides a full range of settings.This article covers the problems that may be faced while solving power-consuming and energy inefficient tasks on mobile devices as well as the approaches used to reduce such impact. The manner in which the newly developed framework is designed is described in the article as well. As an improvement, it is important to consider tracking the moving objects which may reduce the amount of computing power consumed significantly.Manuscript received 10.06.2020
Deep Neural Networks Based Feature Extraction with Multi-class SVM Classifier for Face Recognition

Face recognition (FR) is widely applied in biometrics and it is an essential part of a biometric security system that can be run faster than other security methods and can be performed remotely. FR systems have recently achieved encouraging results using deep learning, especially using Convolutional Neural Networks (CNN). FR systems face many challenges in unconstrained environments that reduce their accuracy.In this study, a deep learning-based feature combination has been proposed for FR to overcome these challenges. The scheme performs feature-level combination by applying two pre-trained CNN models as deep feature extractors, taking into consideration the CNN architectures that have yet achieved the highest results in the ImageNet Challenge.  Pre-trained CNN architectures were utilized for an image-based face biometric system by two strategies. In the first strategy, pre-trained GoogLeNet and VggNet models were utilized to extract deep features separately, followed by a multiclass Support Vector Machine (SVM) classifier. In the second strategy, a feature-level combination was used between two feature vectors extracted by pre-trained GoogLeNet and VggNet models followed by a multiclass SVM classifier.The proposed system is implemented by using MATLAB 2020b, and to evaluate the performance of the proposed approaches, recognition accuracy is used as an evaluation metric. Three experiments were conducted using different datasets, which included several challenges and limitations: VggFace2, LFW, Essex, and ORL datasets which showed the efficacy of the proposed approaches. Additionally, the combination approach between two CNN-based models improves performance. The combination strategy, in particular, yields accuracy in the range of 95.33% to 99.29% on all datasets. The proposed system was compared to existing models in terms of the LFW, and ORL datasets, the findings showed that the proposed system outperformed most current models in terms of accuracy.
A novel image inpainting framework based on multilevel image pyramids

Image inpainting is the art of manipulating an image so that it is visually unrecognizable way. A considerable amount of research has been done in this area over the last few years. However, the state of art techniques does suffer from computational complexities and plausible results. This paper proposes a multi-level image pyramid-based image inpainting algorithm. The image inpainting algorithm starts with the coarsest level of the image pyramid and overpainting information is transferred to the subsequent levels until the bottom level gets inpainted. The search strategy used in the algorithm is based on hashing the coherent information in an image which makes the search fast and accurate. Also, the search space is constrained based on the propagated information thereby reducing the complexity of the algorithm. Compared to other inpainting methods; the proposed algorithm inpaints the target region with better plausibility and human vision conformation. Experimental results show that the proposed algorithm achieves better results as compared to other inpainting techniques.
Learners’ Self-regulation and Autonomy in Learning English Language

The study has been carried out to analyse impacts of L2 Motivation Self-System among undergraduate students of MUET, SZABIST Campus Khairpur, Sindh.Learning English for academic success, finding global spaces for work and developing global identity are the dire needs among university graduates.Autonomous motivation is important to attain lifelong skills.In this regard, L2 Motivation Self System has been found important predictor in language learning.The study is quantitative in nature.The sample is N=114, first-year undergraduate students.For the quantification of the data, SPSS has been used.The findings reveal that respondents are selfmotivated to learn English to get a global identity, determined to work hard by themselves to gain mastery of the target language skills.It is recommended that English language learning teaching should be focused on student-centred activities in classes for learning the English language keeping in view the natural tendencies of learners.
VАRIABILITY, APHORISTIC PHRASE AND PLAYING AS AESTHETIC AND STRUCTURE-FORMING PRINCIPLES IN "MOVEMENTS FOR 13 STRINGS INSTRUMENTS" BY SIMEON PIRONKOV

The composition “Movements for 13 string instruments” was completed in 1967 and belongs to the group of works by Simeon Pironkov whose titles include the word “music” – “Night music”, which is written the year before, “Ballet music in memory of Igor Stravinsky”, created at the beginning of the ‘70s of the last century, and “Music for two pianos and orchestra”. The external connection is the genre uncertainty of their names, which is equally characteristic of the notion “movements” which emphasizes the continuity of the musical process over time without suggesting a connection to a particular genre. At the same time, unlike the three “music”-s, the plural form used in the title – “movements” – draws attention to the plurality of the musical impulses that make up the whole musical thought. The strength of the 13 string instruments indicates the belonging of the work to the chamber orchestral music and fits it into the objective European tendency towards chamberhood, which was established in the first decades of the twentieth century. Listeners are unexpectedly involved in “Movements for 13 string instruments” to hear about eight minutes 37 of micro-episodes – movements that resemble fast-moving movie frames or short theatrical scenes – before the colorful kaleidoscope of parallel-moving melodic lines, clusters, peculiar rhythmic formulas and characteristic strokes to be abruptly cut off by the “guillotine of the four-bars final” (according to the exact expression of the musicologist Rosalia Bix). The versatility of the used vehicles of expression and the masterful handing of them are important prerequisites for the artistic impact of the work, recreating with a laconic expression part of the ever flowing life stream in the form of a series of changing movements. At the same time, it is also a way of the composers playing with its own creation, an expression of the typical for the 20th century tendency for the art to entertain with its means. In any case, “Movements for 13 string instruments” express the youthful spirit of their creator, because, according to the extremely inventive maxim of the theater producer Nicolay Georgiev, “man has stopped playing not because he is old but he is old because he has stopped playing”.
Artificial Neural Network for Cursive Handwriting Recognition System

Cursive Handwriting acknowledgment is an extremely testing zone because of the one of a kind styles of composing starting with one individual then onto the next. Right now, disconnected cursive composing character acknowledgment framework is portrayed utilizing an Artificial Neural Network. The highlights of every character written in the information are extricated and afterward sent to the neural system. Informational collections, having writings of various individuals are utilized in making framework. The suggested acknowledgment framework yields elevated steps of exactness when contrasted with the ordinary methodologies right now. This framework can effectively perceive cursive messages and convert them into auxiliary structure.
THEORETICAL BASES OF PUPILS’ KEY COMPETENCES FORMATION AT LABOR EDUCATION LESSONS

The article, taking into account the modern social order for the education system for the upbringing of a person capable of self-realization and self-awareness in the realities of modern life, describes human competencies as indicators that determine a pupil’s readiness to participate in society and school labor education in this aspect. Key competencies are interpreted as a set of personal qualities combined into a complex of a certain level of knowledge, skills, attitudes that affect a wide range of activities (learning skills, general culture, citizenship, information and communication technologies, the desire to preserve health, etc.).&#x0D; The importance of developing pupils’ holistic thinking at labor education lessons in secondary school is described as the ability to see each problem as a whole, imagine its scale and significance, connect a large number of small details, and contextualize knowledge. Relevant pupils’ skills are defined, in particular the ability to work in a team, use information technology, think critically, and resolve conflicts. For teachers these skills are the ability to direct the arsenal of pedagogical influences on students, and to form key competencies.&#x0D; The factors of pupils’ key competencies formation at labor education lessons are singled out. They are the following: the attention of the pedagogical community to the issue; construction of a balanced content of the subject; development of pupils’ cognitive interests in labor training and technology.
Analysis of Sound Frequency on Guzheng Using Advanced Spectrum Analyzer Pro

Physics learning about sound frequency will be more effective if equipped with practicum activities. This practicum activity can be done by linking it with a cultural because cultural values have the potential to be implemented in physics learning, such as musical instruments for sound frequency. As for the culture used in this research is the Guzheng. This research aims to analyzed of the Guzheng sound frequency, the comparison of the sound frequency to the prime tones, and the comparison of the sound frequency to the octave tones. The research type that was used is based on laboratory experiment with the aids of Advanced Spectrum Analyzer Pro application which is already installed in the smartphone to measure the sound frequency of 21 strings of Guzheng. The result of the analyzed showed that the longer of string so the sound frequency produced is the lower. As for of simple linear regression test showed that the sound frequency is linearly distributed to the prime tones and to the octave tones. The result of research can be applied in physics learning by conducting practicum activities and utilizing technology by the Advanced Spectrum Analyzer Pro application to measure the sound frequency both on musical instruments and on other objects that can make a sound.
CG2A: Conceptual Graphs Generation Algorithm

Conceptual Graphs (CGs) are a formalism to represent knowledge.The production of CG benchmarks is currently a crucial need in the community to validate algorithms.This paper proposes CG2A, an algorithm to build synthetic CGs exploiting most of their expressivity.CG2A takes as input constraints that constitute ontological knowledge including a vocabulary and a set of CGs with some label variables, called γ-CGs, as components of the generated CGs.Extensions also enable the automatic generation of the set of γ-CGs and vocabulary to ease the database generation and increase variability.
A Research on the Importance of Labor Education Course in the Construction of Double-Class Universities in China

Background/Objectives: This study analyzes the equity of the per capita investment scale of students in Korea.Methods/Statistical analysis: To conduct questionnaires and interviews with college students, teachers and parents, to listen to the opinions and suggestions of teachers and students on the labor education curriculum.Findings: Labour education is the training function of labour and the educational activities of young people who love and love labour.Labour education is a new requirement of the New Age Party for education, an important part of the socialist education system with Chinese characteristics, an important part of the overall development of the education system, and an educational activity that must be carried out realization in primary and secondary schools.It is important for the construction of Double-Class Universities in China.Improvements/Applications: In the present curriculum system of China, the education of the five kinds of moral, intellectual, physical, aesthetic and labor is uneven, and the curriculum of labor education is not paid attention.It is especially important to design a local curriculum suitable for the young people.
EMPOWERMENT OF FARMERS' GROUP IN WAMENA CITY THROUGH THE MAKING OF WELL-CONECTED IRRIGATION TECHNOLOGY

A good irrigation system management is needed to meet the water needs of agricultural land through a system of providing and distributing water appropriately. The application of wells conducted on partner farmers' lands is intended to collect water from secondary channels to meet crop water needs during the dry season which will have an impact on planting intensity. The purpose of this activity is to create an alternative irrigation pattern through the manufacture of well-conducted irrigation technology that functions to store and distribute water, especially in the dry season. The method used in the implementation of this activity is the method of lecturing or socializing and making well-conducted. The result of this community service that the community in Walelagama District can implement an organic farming system following established rules by taking into account the need for plant water and can improve cropping patterns with good and correct organic farming methods that have an impact on the surrounding environment without depending on the rainy season.
Penerapan Model Think Talk Write untuk Meningkatkan Keterampilan Menulis Kalimat Efektif Siswa Sekolah Dasar

Abstract&#x0D; This research was motivated by the low skill of writing effective sentences in the third grade thematic learning at SDN 005 Padang Luas, Tambang District, Kampar Regency. One solution to overcome this problem is to apply themodel Think Talk Write. The purpose of this study was to improve effective sentence writing skills in third grade students of SDN 005 Padang Luas. This research method is classroom action research which is carried out in two cycles.The subjects of this research were class III students, totaling 17 students with 9 male students and 8 female students. Data collection techniques are tests, observations, documentation. The results of this study can be concluded that in the first cycle is classified as good with an average of 67.82, then out of 17 students only 8 students completed and classical completeness 47.05%. In cycle II it was very good with an average of 77.47 then from 17 students there were 14 students who completed and for classical completeness 82.35%. Thus, it can be concluded that the application of themodel Think Talk Write (TTW) can improve effective sentence writing skills in class III SDN 005 Padang Luas.&#x0D; &#x0D; Keywords: Model Think Talk Write (TTW), writing skills, effective sentences, Elementary School Students&#x0D;
Design of A UV Chamber Prototype With an Internet of Things-Based Control System

A brief summary A UV-Reactor prototype in the form of a UV chamber with an Internet of Things-based control system (IoT) has been successfully developed.The UV chamber that was constructed is 180 cm in length and is made up of three main parts: two control rooms and one sterilization room.The sterilization room has three UV lamps with a total power of 20 watts and a wavelength of 200 s.d.240 nm; light with this wavelength range is thought to be capable of degrading DNA or RNA found in bacteria or viruses.The UV chamber control system was developed using the Internet of Things (IoT) and can be controlled using the Blynk application on an Android-based smartphone.The intensity of the UV source in the chamber can be changed by changing the resistance with a smartphone without altering the wavelength of the source.
Gender, Age, Religious Affiliation and Qualifications Differences to Innovative Culture of Small and Medium-Scale Owners in SouthWest, Nigeria

This research examined the gender, age, religious affiliations and highest qualification differences to the innovative culture of Small and Medium-Scale Enterprise (SME) owners in south-west Nigeria. The descriptive survey design was adopted for the study. Innovativeness Scale (IS) was used as the instrument for data collection. Statistical methods of analysis used for testing the formulated hypotheses were simple percentage, independent t-test and ANOVA at 0.05 level of significance. Findings revealed that there were significant differences in the innovative culture of SME based on age and highest qualification while no significant differences existed in the innovative culture of SME based on gender and religious affiliations of business owners. It was recommended among others that more significant steps to upgrade SME owners competencies towards building and maintaining the innovative capacity of businesses are needed to prevent the demographically induced decline in innovation activity from compromising growth and prosperity. SME owners should always embark on training and workshop that would add value to their innovative potentials.
INDEPENDENCE THROUGH DATA JOURNALISM

Data journalism (DJ) fosters audience independence. It encourages content exploration through visualizations, storytelling, and direct access to data sources. DJ assists the audience to be well informed, cognitively active, and contribute to the public sphere. Achieving this objective indicates the audience's independence. How independent is the audience of DJ? This question is answered based on the level of engagement of the audience. A low level of engagement prevents the audience from helping each other to interpret the dominant meaning and to identify its deficiencies. When the audience is engaged, they are able to reframe the message from a new perspective, challenging their understanding of the message. By analyzing the audience engagement levels and comparing different types of journalism we gain insight into audience behavior. We found a significant correlation between DJ audience engagement and time. This trend may be explained by the steep learning curve of DJ, which requires a special set of skills, in addition to the willingness to analyze and discuss interpretations with others. On the basis of the trend, we can conclude that over time, the audience became familiar with DJ and adopted it. Results could contribute to the realization of the internet's original promise to make the general public independent by providing free access to information.
Sliding Window Protocol for Internet of Things

Internet of Things (IoT) refers to the concept of connecting non-traditional computers and related sources with the help of the internet. This includes incorporating basic computing and communication technologies for daily use into Physical things. Security and Confidentiality are two major challenges in IoT. In the current security mechanisms available for IoT, the limitations in the memory, energy resources, and CPU of IoT devices compromises the critical security specifications in IoT devices. Also, the centralized architectures for security are not appropriate for IoT because of a Single attack point. It is costly to defend against attacks targeted on centralized infrastructure. Therefore, it is important to decentralize the IoT security architecture to meet the requirements of resource constraints. Blockchain is a decentralized encryption system with a large number of uses. However, because of its high computational complexity and poor scalability, the Traditional Blockchain environment is not suitable for IoT applications. So, we introduce a Sliding window protocol to the traditional blockchain so that it will better suit the applications in the IoT environment. Changing the conventional blockchain and introducing a sliding window to it makes it use previous blocks in proof of work to shape the next hash block. SWBC's results are analyzed on a data stream generated from an IoT testbed (Smart Home) in real-time. The results show that the proposed sliding window protocol improves security and reduces memory overhead and consumes fewer resources for Security.
Improved Color Image Encryption using Modified Modulus Substitution Cipher, Dual Random Key and Chaos Method

This study proposes the hybrid substitution cryptography method followed by chaotic methods to improve the security of digital image transactions on the internet. The substitution method used is a hybrid of the modification of the Vigenèreand Beaufort cipher algorithm. To do a hybrid, two random keys are used. The first random key is a matrix with 8-bits integer values, while the second random key is a matrix that contains binary values. The modulus operation is used in the main process of substitution methods. In this study, 24-bits true-color image was used as a dataset for the testing experiment. Measurement of encryption quality is measured by Entropy, MSE, PSNR, SSIM, UACI, and NPCR, whereas tic toc functions for measuring the computational time needed. To ensure the decryption process runs perfectly, measuring instruments such as SSIM, MSE, and PSNR are used to compare the decrypted image with the original image, the tic toc function is also used to measure computing performance. Based on the results of testing the quality of image encryption proved to have excellent results where the entropy value is close to 8, the ideal NPCR and UACI values, as well as excellent visual values based on MSE, PSNR and SSIM measurements. The image can also be decrypted perfectly with relatively fast computing time in the encryption and decryption process.