Reviewerly/exHarmony huggingface dataset:
Access Control with Encrypted Feature Maps for Object Detection Models

In this paper, we propose an access control method with a secret key for object detection models for the first time so that unauthorized users without a secret key cannot benefit from the performance of trained models. The method enables us not only to provide a high detection performance to authorized users but to also degrade the performance for unauthorized users. The use of transformed images was proposed for the access control of image classification models, but these images cannot be used for object detection models due to performance degradation. Accordingly, in this paper, selected feature maps are encrypted with a secret key for training and testing models, instead of input images. In an experiment, the protected models allowed authorized users to obtain almost the same performance as that of non-protected models but also with robustness against unauthorized access without a key.
Information Transfer Technique in Assessing Listening For Daily Conversation for EFL in Pesantren-Based University

The assessment was becoming part of teaching activities to measure the learning target. It requires several assessment aspects to gain the language learning achievements of the learners. This article intended to examine the strength of the Information Transfer Technique (ITT) in assessing listening for a daily conversation subject for the students in the first year of students of English Department, the University of Darussalam Gontor which is considered as a Pesantren-based university. The research employed a quasi-experimental with control and experiment groups with a post-test design. Each group consisted of 16 colleagues who were regarded as English Foreign Language learners. Their listening subject was assessed by post-test using the information transfer technique in both control and experimental group.The data were analyzed by an independent sample T-Test. The findings revealed that there was a significant inequality between the mean score of pre and post-test. The mean score of the post-test of learners in the experiment group was significantly higher than that in a pre-test. Furthermore, It is proven that the technique of information transfer is assumed eligible to assess the teaching-learning activities in listening for daily conversation
Smart-home technology and its impact on the elderly health

Technological adaptations in homes allow older people to continue living in their homes, remaining in their environment. A better quality of life is achieved, tending to reduce accidents within the home. This study analyzes the impact of a wireless system to improve the life quality at home on the feeling of well-being in the elderly. This perception is analyzed by measuring health variables such as body temperature, sleep rhythm sensors, heart rate, and breathing frequency. We statistically analyze the real impact on the sensation of men and women and their perception of safety against accidents and on the improvement of their quality day by day. We obtain that this feeling of well-being is more significant in women than in men and only on certain days of the week. Finally, we present statistics of the most stable vital signs under the presence of the wireless network in the person’s home.
Implementation of Literacy-Based Early Childhood Learning Program Management

The gersamasapa program is a literacy-based educational innovation created by At-Tauhid PAUD with the aim of increasing children's interest in reading and cultivating positive character in children. This study aims to describe and describe the implementation of literacy-based early childhood learning program management. The method used in this research is descriptive qualitative. Data collection techniques were used using observation, interviews and documentation. There were nine subjects or informants in this study consisting of teachers and educational staff at At-Tawhid PAUD. The data collection process was carried out from November to December. The results of this study indicate that the process of 1) planning is carried out by holding a work meeting before the school year begins. The results of the meeting are then listed in the academic calendar and have standard operating procedures (SOP). 2) Organizing involves all parties by forming a gersamasapa program implementation team consisting of persons in charge, chairmen, members, and others which are then listed in an SK (decree). 3) The implementation of the gersamasapa program is carried out through three activities, including one house, one reading corner, literacy training, and storytelling classes. 4) Supervision is carried out by means of home visits and ABC monitoring books
TOOLS AND MECHANISMS OF THE MANAGEMENT CULTURE OF THE HEADS OF EDUCATIONAL INSTITUTIONS

Summary. The article completes the cycle of authors' publications on the important problem of developing the management of education and the management culture of heads of educational bodies. It revealed the urgency of solving the issue of increasing the level of management culture for the heads of educational institutions whose management style formed within the framework of management paradigms 1.0 and 2.0, and for those who use principles, approaches, and methods of management 3.0. Based on the results of the previous research, the authors have substantiated and determined by means of the system analysis and complex approach concrete practical, organizational and methodological tools and mechanisms of improvement of the level of the organizational culture of the heads of educational institutions with maximum consideration of the requirements of national professional standards to this category of managers. The recommended tools and mechanisms for practical consist of four levels: national, regional, institutional and local. The authors of the article are convinced that increasing the level of management culture of managers of educational organizations will promote their effective activity in the modern management system. It means that management is based on urgent decisions in dynamic conditions and unpredictable situations of the external and internal environment of organization of the education industry.
The Influence of The Use of Digital Comics Vs E-Books and Learning Motivation on The Learning Outcomes of History of Class XI Social Studies Students of SMA Negeri 2 and 4 Probolinggo

The quality of learning is largely determined by teachers. They are required to be skilled in bringing and guiding their students so that they can learn optimally. The objectives of this study are: (1) To find out how much influence the use of digital comics vs. e-books has on the learning outcomes of class XI social studies students at SMA Negeri 2 and SMA Negeri 4 Probolinggo. (2) To find out how much influence of the use of digital comics vs e-books and high and low student motivation is on the learning outcomes of class XI social studies students at SMA Negeri 2 and SMA Negeri 4 Probolinggo. (3) To find out whether or not there is interaction in the use of digital comic media vs e-books and learning motivation towards the learning outcomes of class XI social studies students at SMA Negeri 2 and SMA Negeri 4 Probolinggo. The data collection technique is learning outcomes using tests and for motivation using questionnaires, and data analysis using 2-pathway variance analysis (Anava).&#x0D; The conclusions of this study are: 1) There is an influence on the use of digital comics vs e-books on learning outcomes 2) There is an influence on the use of digital comics vs e-books and high and low student motivation on learning outcomes. 3) There is an interaction in the use of digital comic media vs e-books and learning motivation towards learning outcomes. In learning activities in the 21st century era, teachers are advised to provide and use digital media such as digital comics, so that students are interested in learning. Thus, students can be active and understand the material taught by the teacher and can improve their learning achievement.
Subgraph Query Matching in Multi-Graphs Based on Node Embedding

This paper presents an efficient algorithm for matching subgraph queries in a multi-graph based on features-based indexing techniques. The KD-tree data structure represents these nodes’ features, while the set-trie index data structure represents the multi-edges to make queries effectively. The vertex core number, triangle number, and vertex degree are the eight features’ main features. The densest vertex in the query graph is extracted based on these main features. The proposed model consists of two phases. The first phase’s main idea is that, for the densest extracted vertex in the query graph, find the density similar neighborhood structure in the data graph. Then find the k-nearest neighborhood query to obtain the densest subgraph. The second phase for each layer graph, mapping the vertex to feature vector (Vertex Embedding), improves the proposed model. To reduce the node-embedding size to be efficient with the KD-tree, indexing a dimension reduction, the principal component analysis (PCA) method is used. Furthermore, symmetry-breaking conditions will remove the redundancy in the generated pattern matching with the query graph. In both phases, the filtering process is applied to minimize the number of candidate data nodes of the initiate query vertex. The filtering process is applied to minimize the number of candidate data nodes of the initiate query vertex. Finally, testing the effect of the concatenation of the structural features (orbits features) with the meta-features (summary of general, statistical, information-theoretic, etc.) for signatures of nodes on the model performance. The proposed model is tested over three real benchmarks, multi-graph datasets, and two randomly generated multi-graph datasets. The results agree with the theoretical study in both random cliques and Erdos random graph. The experiments showed that the time efficiency and the scalability results of the proposed model are acceptable.
Research on Visual Image Stitching Method of Micro Flapping Wing Flying Robot Based on Block Matching

In order to solve the problem of limited field of view and the inability to carry out wide-field navigation planning during the visual navigation of the flapping-wing flying robot, and realizing the widefield navigation planning of the flapping-wing flying robot, this paper proposes a visual image stitching method for the flapping-wing flying robot based on block matching.Block matching is used to perform image registration on the visual image data of the flapping-wing flying robot, and the image fusion algorithm is used to improve the image clarity.While ensuring the large field of view perception and navigation of the flapping-wing flying robot, the features of the flapping-wing flying robot's visual target are extracted through block matching, which provides technical support for the flapping-wing flying robot's target tracking based on dynamic vision.An experimental verification system was built with a flapping-wing flying robot system and an airborne camera.The visual image stitching method of the flapping-wing flying robot based on block matching is experimentally verified, and a series of experimental results verify the feasibility and effectiveness of the method in this paper.The innovation of this paper is embodied in two aspects, the visual image registration method of flapping-wing flying robot based on block matching and the visual image fusion method of flapping-wing flying robot based on wavelet transform.
Experimental valorizations regarding the reconfiguration of the learning process

The article presents synthetically the methodology of the experimental research of the Paradigm of reconfiguring the learning process, implemented at the level of the curricular areas: Mathematics and Sciences, Language and Communication, Social and Humanistic Education and the Arts and the results obtained. The paradigm of reconfiguring the learning process includes in its structure m odels and strategies for reconfiguring learning oriented towards inter- and transdisciplinarity for the purpose of training key skills. The experimental research carried out demonstrated the increase in the efficiency and relevance of the teaching-learning process and offered new models and didactic strategies for solving the need to reconfigure the current learning process in general education.
Virtual Try on Clothes

Abstract: Trying on different clothes in the store and finally choosing the right one can be a time-consuming and tedious process. So, a real- time virtual fitting room is a concept where a customer can buy pieces of her clothes without having to wear them. The virtual fitting room environment is the online equivalent of her fitting room in a store. People usually avoid buying wearable clothes online. To solve this problem, I decided to create an online test room application. Our research involves recording a video of user using the system camera, segmenting the video into indivi-dual frames to extract user’s body, and developing an application that transforms, rotates, and makes wearable. is focused on as image that scales in real time to fit the user Virtual try-on technology lets customers see how clothes fit themselves or an avatar, allowing them to virtually “try on” clothing before purchasing them. This method helps avoid challenges connected with conventional e-commerce sales channels, such as fit issues and environmental and financial returns costs.
New results on imbalance graphic graphs

An edge imbalance provides a local measure of how irregular a given graph is. In this paper, we study graphs with graphic imbalance sequences. We give a new proof of imbalance graphicness for trees and use the new idea to prove that the same holds for unicyclic graphs. We then show that antiregular graphs are imbalance graphic and consider the join operation on graphs as well as the double graph operation. Our main results are concerning imbalance graphicness of three classes of block graphs: block graphs having all cut vertices in a single block; block graphs in which the subgraph induced by the cut vertices is either a star or a path. In the end, we discuss open questions and conjectures regarding imbalance graphic graphs.
Classical and Bayesian Methods in Estimation of a Scale Parameter of an Erlang Distribution

This study examined the Bayesian and Classical approaches in the estimation of a scale a parameter of an Erlang distribution under different loss functions (both symmetric and asymmetric loss functions) and prior probabilities.The shape parameter was assumed known while the scale parameter was assumed to follow Jeffreyʼs, quasi and uniform priors.A square error loss, entropy loss and linear exponential loss functions were considered.Under different combinations and scenarios of these priors and loss functions, the estimators of the scale parameter of an Erlang distribution were derived using R software.The estimators were compared and the best estimator was chosen based on having the least value of the mean square error of the estimates.
Python Scripts for Rhythmic Partitioning Analysis

The Rhythmic Partitioning Analysis demands laborious tasks on segmentation and agglomeration/dispersion calculus.Parsemat software runs these tasks and renders indexogram and partitiogram charts.In the present paper, we introduce the Rhythmic Partitioning Scripts (RP Scripts) as an application of Rhythmic Partitioning in the Python environment.It adds some features absent in Parsemat, such as the access to measure indications of each partition, introduction of rest handling, annotation of texture info into digital scores, and other improvements.The RP Scripts collect musical events' locations and output locations and partitions' data into CSV files, render indexogram/partitiogram charts, and generate annotated MusicXML score files.RP Scripts have three components: calculator (RPC), plotter (RPP), and annotator (RPA) scripts.
Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead

We propose quantum tree network (QTN) designs that are 1) free from congestion in multiflow communications, 2) optimal routing with only local information (self-information) and 3) completely covers 2D surface, 4) with only logarithmic overhead. If the channel is dominated by the insertion loss and the communication is limited by the local gates, as in current state-of-the-art technologies, the overhead is log(N), while this is relaxed to the general cases with poly-log overhead by engaging repeater chains in the long range communication.
TMDiMP: Temporal Memory Guided Discriminative Tracker for UAV Object Tracking

Unmanned aerial vehicles (UAVs) have attracted increasing attention in recent years because of their broad range of applications in city security, military reconnaissance, disaster rescue, and so on. As one of the critical algorithms in the field of artificial intelligence, object tracking greatly improves the working efficiency of UAVs. However, unmanned aerial vehicle (UAV) object tracking still faces many challenges. UAV objects provide limited textures and contours for feature extraction due to their small sizes. Moreover, to capture objects continuously, a UAV camera must constantly move with the object. The above two reasons are usual causes of object-tracking failures. To this end, we propose an end-to-end discriminative tracker called TMDiMP. Inspired by the self-attention mechanism in Transformer, a novel memory-aware attention mechanism is embedded into TMDiMP, which can generate discriminative features of small objects and overcome the object-forgetting problem after camera motion. We also build a UAV object-tracking dataset with various object categories and attributes, named VIPUOTB, which consists of many video sequences collected in urban scenes. Our VIPUOTB is different from other existing datasets in terms of object size, camera motion speed, location distribution, etc. TMDiMP achieves competitive results on our VIPUOTB dataset and three public datasets, UAVDT, UAV123, and VisDrone, compared with state-of-the-art methods, thus demonstrating the effectiveness and robustness of our proposed algorithm.
FUID SEVM Fingerprint Unique ID Smart Electronic Voting Machine

Abstract: Secure voting is ensured by the Electronic Voting Machine. People should believe that their vote is secured and there are no unfair practices. The main objective of this project is to develop a secure Electronic Voting Machine using fingerprint identification method, we are using system database for fingerprint access. At the time of voting in elections, the verification of the electronic voting process can be done by scanning the veins on the fingers which allows voting to be reset so voters can cast their vote. We are also giving a barcode scan feature where user will scan to authenticate himself. System then show the list of candidate user, User will vote by pressing the button and all the data will be store in storage device. Fingerprint scanning is used to provide security to prevent fake, duplicate voting etc. It also increases the accuracy and speed of the process. The purpose of such a system is to ensure that only the legitimate user and no one else has access to the voting rights. If a particular pattern matches anyone in the available record, voting access is granted. But in case the pattern does not match the records in the database, or in the case of repetition, access to cast a vote is denied or the vote is rejected.
DEVELOPMENT OF AN APPLICATION FOR THE ANALYSIS AND RESEARCH OF THE PARAMETERS OF SCIENTIFIC TEXT DOCUMENTS CAPABLE OF WORKING WITH SEVERAL OPERATING SYSTEMS

In the work designed, developed and implemented a cross-platform application for retrieving information from the repository, displaying it correctly, generating a description of references in various styles, as well as for opening a document in a cross-platform application. The MS Windows 11 operating system, the Dart programming language and the Flutter framework were used in the development. The optimization of the program was ensured by using the Flutter BloC architecture, it allowed to structure the code, separate the interface from the logic and visually describe the operation of the program depending on various states. The input data is information about the scientific work in the repository, the user's request in the search field is in the form of a link. The result of the work is: a list of processed links, a description of references in different styles, a document of a scientific work, a link for opening in a browser. Instructions containing all the necessary information about the main aspects of the application have been added to the cross-platform application. A page was also created where users can get the necessary help or report problems with the application. The application was tested on devices based o-n the Android 11 operating system and above, devices based on the iOS operating system, and a web browser. To run on an Android-based device, you need to install an apk file and run the app, to run on an iOS-based device, you need to install the app using any development environment. To run in a web browser, you will need to run from the development environment. All these functions make the application relevant for use by students and teachers in the creation of scientific, diploma, and research works. And also to get acquainted with the latest research of colleagues in a large number of areas. The cross-platform application allows you to quickly and conveniently get all available information about work, as well as view the work itself on your device without using third-party programs.
An analysis of writing activities of 9th grade English textbooks based on the 2015 revised national curriculum

Writing is an essential and complex skill that does not develop naturally. In an EFL context, it is necessary for L2 teachers to provide adequate practice and instruction to students. English textbooks are essential foundation for teaching in the classroom. Thus, this study examined the effectiveness of writing activities in 9th grade English textbooks. Five governmentauthorized middle school English textbooks widely used in Gyeonggi Province were selected and analyzed. Validity of writing activities in textbooks was analyzed based on writing achievement standards of the 2015 revised national English curriculum, writing task type, and genre. Results are as follows. First, writing activities in 9th grade middle school English textbooks did not fully meet writing achievement standards. Most writing activities were implemented based on standards [9E04-01] and [9E04-2]. Second, the most common type of writing activity in those textbooks was controlled writing (63.6%), followed by guided writing (21.1%) and free writing (9.3%). Third, although various types of genres were incorporated in writing activities, more than half of writing activities were expository writing (43%) and journal/letter (25%). These findings suggest that L2 teachers need to provide various types of writing activities to help students achieve writing standards and enhance their writing abilities.