Reviewerly/exHarmony huggingface dataset:
Quantum hobbit routing: Annealer implementation of generalized Travelling Salesperson Problem

In this paper, we present an implementation of a Job Selection Problem (JSP) — a generalization of the well-known Travelling Salesperson Problem (TSP)— of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N=9$</tex> jobs on its Quadratic Unconstrained Binary Optimization (QUBO) form, using <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{O}(N)$</tex> qubits on DWave's Advantage_system4.1 quantum annealing device. The best known quantum algorithm for TSP to date uses <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{O}(N^{2})$</tex> qubits. A solution is found using the quantum method. However, since hardware is not yet able to compensate the increase in search-space size, no present overall advantage is achieved when comparing the quantum results with either exhaustive or equiprobably sampled classical solutions of the problem.
Relative Positioning Method of Air-Ground Collaborative Robot

This paper proposes a tethered UAV (Unmanned Aerial Vehicle) and UGV (Unmanned Ground Vehicle) relative positioning method based on the Weighted Kalman filter fusing tethered cable positioning data with AprilTag positioning data for the problem of accurate and robust positioning of UGV by UAV in the air-ground collaborative robotic system. The method firstly establishes the tethered cable positioning model and calibrates the external parameters and scale factor between the tethered cable positioning model and the AprilTag coordinate system for coordinate alignment. Then we establish the state-space equations of the air-ground cooperative robot system and build the measurement equations of the system based on the tethered cable positioning data and the AprilTag positioning data. Finally, tethered cable positioning data and AprilTag positioning data are filtered separately using a Kalman filter, and the output of the system is obtained by weighted sum of the filtered data. The experimental results show that the overall RMSE (Root Mean Square Error) of the relative positioning of UAV and UGV in this method is 0.064272 m, which is better than the output of tethered cable positioning model and Apriltag algorithm with the overall RMSE of 0.106797 and 0.098765 m, respectively. In addition, when the AprilTag marker is out of camera view, this method can still provide good relative position data between the tethered UAV and the UGV, which improves the positioning Robustness. This method is beneficial to the automatic take-off and landing of the tethered UAV, and its stable following UGV.
Image Classification of Marine Landmarks Based on Evidence Theory

Island classification is a key element of scene matching navigation in the sea area. However, the image classification methods face the problems of inconsistent distribution structure, uneven size and lack of stable features of islands. In order to solve these problems, we define three types of island, the isolated island, the large island and the multi-island. This paper considers the pyramid decomposition to perform multi-scale analysis, and uses the histogram of oriented gradient and the local binary pattern algorithm to extract the stable features of the island images at different scales, then these feature vectors of each scales are classified by support vector machines. Furthermore, the evidence theory is introduced to fuse the classification results of single classifier on each image scale. The island database is obtained by Google Earth satellite images, which covers all islands in South China Sea and some of islands in Pacific/Indian Ocean. The experimental results on the satellite image database show that the classification accuracy of proposed method is 91.83%, and it is about 2% higher than single classifier methods.
RRT*-Harris: An Efficient Two-Stage Approach for Autonomous Path Planning of UAVs

This paper proposes an improved rapidly-exploring random tree star (RRT*) based on the Harris corner detection algorithm to aid unmanned aerial vehicles (UAVs) in their autonomous path planning during flight tasks. Two stages comprise the proposed method (RRT*-Harris): (1) build the search tree trunk using Harris corner detection and Dijkstra algorithms; and (2) continue searching for and optimizing the exploring random tree using RRT*. In particular, RRT*-Harris incorporates corner detection and graph search algorithms into the traditional RRT* algorithm, thereby improving the problem of judging feasible solutions in path planning. Furthermore, the simulation results demonstrate that the proposed algorithm outperformed the conventional planning algorithm in terms of convergence precision, speed, and stability. Its efficiency is 80 ~ 95% higher than that of the traditional RRT* algorithm in both standard and special labyrinths. In addition, the algorithm is shown to be well adaptive to 2D trajectory optimization in complex environments.
Data and Methods

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
THE EFFECT OF USING QUESTION ANSWER RELATIONSHIP (QAR) STRATEGY ON STUDENTS’ READING COMPREHENSION OF NARRATIVE TEXT AT ELEVENTH GRADE OF SMA SWASTA PABAKU STABAT

The objective of this study is to find out The Effect of Using Question Answer Relationship (QAR) Strategy on Students’ Reading Comprehension of Narrative Text at Eleventh Grade of SMA Swasta PABAKU Stabat. This study is an experimental research with the population is all students of class XI at SMA Swasta PABAKU Stabat as many as 60 students from 2 classes, as control class is XI-IPA 1 and the experimental class is XI-IPA 2. The instrument of this research is using pre-test and post-test with multiple choice question consist of 20 questions. After the calculation of the data knowing the mean obtained by the respondents in the control class is 67,5 and the mean of data in experimental class is 86,83. It can be concluded that students’ reading comprehension achievement in the experimental class is good. Based on the calculation of validity test, it can be concluded that the data has valid. Then based on the calculation of reliability of test, found that the data has reliable. Based on the calculation of normality, it can be concluded that the distribution of data is normal. After testing the data hypothesis criteria that have been obtained in the control class and the experimental class, it has been found that the hypothesis is received, where tcount &gt; ttable = 4,4 &gt; 1,67155. So it can be concluded that Question Answer Relationship (QAR) Strategy affected on Students’ Reading Comprehension of Narrative Text at Eleventh Grade of SMA Swasta PABAKU Stabat.
Motion-Powered Gameboy

Energy harvesting technology enables the battery-free realization of some sensing, computing, and connectivity functions. However, its promotion in battery-free human-computer interaction is relatively slow in comparison. There is a critical energy gap around interactive devices which are screen-focused and usually power-hungry. This energy gap can be narrowed down and filled up by selecting a proper display and taking a sophisticated hardware and software co-design. Motion-powered gameboy, the first robust personal mobile gaming device, is manufactured by combining the features of a bistable E-ink display and a quasi-static toggling motion energy harvester. With the hardware-software co-design, the amount of energy generated by the player's pinch action can adequately guarantee successful user interaction and preferable user experience. The design methodology of the motion-powered game-boy provides a valuable example for the development of motion-powered human-computer interactive devices.
Pemetaan Karakteristik Sekolah Sasaran Promosi pada UNKRISWINA SUMBA menggunakan K-Means

The rapid development of technology has an impact on how data is collected. A high level of data productivity will be in vain if it is not followed by the ability to process data that can produce information that helps the development of the organization. This study aims to help the Promotion Section of UNKRISWINA SUMBA in mapping the characteristics of the target schools and then provide alternative promotion strategies as input in formulating forms of institutional promotion. The data used is in the form of student data who have registered at UNKRISWINA SUMBA since 2016 – 2020. Data processing uses the concept of data mining by applying the K-Means algorithm. K-Means algorithm is used for clustering promotion target schools as many as 4 clusters. Cluster determination is carried out using the elbow method to determine the optimal value of k to perform calculations. Based on the results of processing based on the K-Means algorithm, it is known that as many as 8 schools in cluster 0 are the schools with the most students enrolling in UNKRISWINA SUMBA, 76 schools in cluster 1 are schools with the fewest students enrolling in UNKRISWINA SUMBA, 21 schools those in cluster 2 are schools with quite a lot of students enrolling in UNKRISWINA SUMBA, and 1 school in cluster 3 is a school with quite a number of students enrolling in UNKRISWINA SUMBA but focusing on the Economic Development and Management study program.
RESEARCH EFFICIENCY OF STEGANOGRAPHIC SYSTEMS IN EMBEDDING OR EXTRACTING HIDDEN INFORMATION

The performance indicators multiservice telecommunication networks based on the architectural concept of the next Next Generation Network (NGN) and Future Networks (FN) are analyzed, using promising steganographic methods, algorithms and technologies that support a wide range cryptographic strength. As a criterion for complex indicators of the effectiveness steganographic systems, both the throughput of the covert channel, the channel utilization factor, and the probabilistic-temporal characteristics are chosen. The issues constructing covert channels, taking into account the length service packets for transmitting covert data, are considered. As a result of the study, a new approach to the construction of a mathematical model (MM) of the bandwidth steganographic systems as a communication system is proposed, which is based on the entropy approach. On the basis of the model, complex indicators effectiveness steganographic systems are studied, taking into account the parameters of the threat and stability of steganosystems. On the basis MM, the maximum throughput of a covert channel is investigated, taking into account the informative characteristics of steganographic systems. Analytical expressions have been obtained to evaluate the complex indicators steganographic systems for hiding data transmitted over communication channels when embedding and when extracting data with the necessary parameters. A numerical analysis was carried out and a graphical dependence of the maximum throughput of a covert channel on the channel utilization factor was plotted for a given system speed. Based on the results obtained, one can judge the effectiveness of modern steganographic systems in embedding and extracting hidden multimedia type data in packet-switched communication networks.
Kinematic Analysis and Visualization of 3D Human Pose Estimation on the Web-app

Photogrammetry is one of the non-invasive markerless methods applied in postural assessment to measure the dynamical relation of body parts in terms of distance and angles. The use of camera sensing technology replaces visual inspectors to quantity the postural assessment in a more efficient way. To visualize a series of human motion, the proposed web-app automates the process of photogrammetry and generates the kinematic analysis. It allows three-dimensional joints visualization and an interactive kinematic graph for joints correlation. A preliminary postural assessment can be completed via uploading a video or a text file with postural information. The output of the web-app can be used to evaluate the posture of the human from the input data using 3D human joints, distance, and joint movement. In this work, the walking and running patterns were put into practise and examined. Results show that the kinematic analysis is made possible by the visualisation of 3D human joints in euclidean distance and joint angular characteristics.
Implementasi Flashcard Sebagai Media untuk Menambah Kosakata Bahasa Inggris pada Siswa SD Negeri 016 Kelurahan Sungai Perak

Vocabulary is a crucial thing that must be known as the main capital to learn sentence construction and other language skills because vocabulary is the basic foundation in language because one must have sufficient vocabulary to be able to understand what is read and heard, can speak and write in words. so that it can be understood by others. At SD Negeri 016 Sungai Perak Village, the majority of students were judged to lack a rich English vocabulary, the students also experienced difficulties in acquiring new vocabulary. To overcome this problem, the researcher chose one of the visual media that can help students in learning vocabulary, namely using flashcards or picture cards. The implementation method used in this study is in the form of observing English vocabulary, introducing flashcard media in teaching and learning activities, and implementing flashcard media in everyday life. This research was conducted with the aim that students are able to develop communication competencies and have an awareness of the nature and importance of English to improve the nation's competitiveness in a global society.
DSSA: Dual-Side Sparse Systolic Array Architecture for Accelerating Convolutional Neural Network Training

Ever-growing CNN size incurs a significant amount of redundancy in model parameters, which in turn, puts considerable burden on hardware. Unstructured pruning is widely used to reduce model sparsity. While, the irregularity introduced by unstructured pruning makes it difficult to accelerate sparse CNNs on systolic array. To address this issue, a variety of accelerators have been proposed. SIGMA, the state-of-the-art sparse GEMM accelerator, achieves significant speedup over systolic array. However, SIGMA suffers from two disadvantages: 1) it only supports one-side sparsity, leaving potential for further performance gains; 2) SIGMA improves utilization of large-sized systolic arrays at the cost of extra overhead.
Application Showcases for TVM with NeuroPilot on Mobile Devices

With the increasing demand for machine learning inference on mobile devices, more platforms are emerging to provide AI inferences on mobile devices. One of the popular ones is TVM, which is an end-to-end AI compiler. The major drawback is TVM doesn’t support all manufacturer-supplied accelerators. On the other hand, an AI solution for MediaTek’s platform, NeuroPilot, offers inference on mobile devices with high performance. Nevertheless, NeuroPilot does not support all of the common machine learning frameworks. Therefore, we want to take advantage of both sides. This way, the solution could accept a variety of machine learning frameworks, including Tensorflow, Pytorch, ONNX, and MxNet and utilize the AI accelerator from MediaTek. We adopt the TVM BYOC flow to implement the solution. In order to illustrate the ability to accept different machine learning frameworks for different tasks, we used three different models to build an application showcase in this work: the face anti-spoofing model from PyTorch, the emotion detection model from Keras, and the object detection model from Tflite. Since these models have dependencies while running inference, we propose a prototype of pipeline algorithm to improve the inference performance of the application showcase.
Proposal of Automatic Sand Catcher Robot of Uniforms

Outdoor sports are very often dirty by practicing and playing matches. If you put the uniform that remains dirty in the washing machine as it is when washing such a dirty uniform and move it, sand and dust will get stuck in the washing machine and cause it to break down. Therefore, it is necessary to perform a process of washing down to remove the dirt of the sand attached to the surface by hand before putting it in the washing machine. There are many disadvantages such as rough or dirty hands when such underwashing is done manually. Therefore, we propose a robot that can automatically remove dirt from uniforms. We will explain how to use this robot. First fix the dirty uniform under this robot. Next, bring a small vacuum cleaner fixed to the robot servomotor to the top right of the uniform. Then clean the lower right of the uniform with a vacuum cleaner. By shifting this to the left side, you can remove the sand of the entire uniform. In addition, it is now possible to adjust the strength of the vacuum cleaner by connecting the conductor to the vacuum cleaner running with the battery and applying an appropriate voltage. In addition, it became a mechanism that can save electricity as much as possible by turning on the switch only when attached to the uniform in the program. By using this robot, you can automatically wash down without any disadvantages such as getting your hands dirty. In addition, time, human labor, electricity, etc. can be saved.
The Role of Smartphones in Learning English (Eight Students For English Study Program of Stkip Setia Budhi Rangkasbitung)

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Abstract: This research was conducted to see how the role of smartphones in learning English for the eighth semester at STKIP Setia Budhi Rangasbitung. Especially trying to find out the role of smartphones through zoom meetings in during the pandemic. The method used in this study was a qualitative method with questionnaire and interview instruments. four students were selected to investigate the role of smartphones through zoom meetings in learning. The Data were gathered through instruments Questionnaire and structured interviews. The result of study showed that the part of smartphones through Zoom gatherings for learning exercises can give more encounters for understudies where understudies can be associated specifically, understudies can be conducted address and reply discourses and introductions almost the learning issues they are confronting, and online learning can run easily and get most extreme.&#x0D; &#x0D; &#x0D; &#x0D;
ЗМІСТ КУЛЬТУРОТВОРЧОЇ ДІЯЛЬНОСТІ ЗДОБУВАЧІВ ЗАКЛАДІВ ВИЩОЇ ПЕДАГОГІЧНОЇ ОСВІТИ

The article analyzes the researchers’ approaches to defining the essence of cultural activity. Its purpose and tasks are determined in the context of the training of pedagogical workers in higher educational pedagogical institutions. It was concluded that cultural activities in higher pedagogical institutions are designed to contribute to the self-determination of the personality of the future teacher, his self-realization, the improvement of the level of aesthetic culture, the development of creative potential, and the acquisition of practical skills in the use of aesthetic experience in other types of activities.
ПРАКТИКА ДУХОВНО-ІНТЕЛЕКТУАЛЬНОГО ВИХОВАННЯ І НАВЧАННЯ ТА ОСОБИСТІСТЬ ВИКЛАДАЧА

The article raises the problem of the role of the teacher’s personality in the process of assimilation by students of spiritual content. The article used literature that belongs to the Christian heritage and the works of modern scientists
ОСНОВНІ МЕТОДИ ФОРМУВАННЯ ІМІДЖЕВОЇ КОМПЕТЕНТНОСТІ ВИКЛАДАЧА

The process of forming the teacher’s image competence involves the transfer of knowledge, their involvement in ways and methods that allow using one’s own reserves in solving professional problems. The main aspects of understanding the image of a higher education teacher: to facilitate the expression of feelings and thoughts by participants, to initiate the process of rethinking various aspects of professional activity.
ОСОБЛИВОСТІ УПРАВЛІННЯ В КОНТЕКСТІ ЙОГО ГУМАНІЗАЦІЇ

The article updates the problem of peculiarities of educational institution management in the context of humanization. The essence of facilitative management is revealed, which allows maintaining a balance between goals and results and the capabilities of real people and methods of activity. The approach to management from the position of leadership is highlighted. Their advantages and disadvantages are identified.
РОЛЬ СОЦІАЛЬНО-ГУМАНІТАРНИХ НАУК У СУЧАСНОМУ ДУХОВНО-ІНТЕЛЕКТУАЛЬНОМУ ВИХОВАННІ

In the process of spiritual and social development of an individual, the formation of his worldview and active social position, the role of sociohumanitarian knowledge is great. The new style of thinking in modern social and humanitarian sciences includes a change in the nature of cognitive activity: the unity of processes and methods of scientific knowledge, flexibility and versatility of thinking, the relationship of intuitive, emotional-sensual, visual-figurative and logical thinking
ОСВОЄННЯ ДУХОВНИХ ЦІННОСТЕЙ ОСОБИСТОСТІ ЗАСОБАМИ АНІМАЦІЙНОГО ДИЗАЙНУ

The mental values of the individual are considered as the internal state of a person, oriented to the moral norms of coexistence in society, ethical rules of behavior and a careful attitude towards oneself and another person. Factors affecting the human development of mental values have been identified. The potential possibilities of the means of animation design, its influence on the formation of mental values of the individual in the modern world are revealed
РОЗРОБКА ДУХОВНО-МОРАЛЬНИХ ЦІННОСТЕЙ У ЗМІСТІ СУЧАСНОЇ ОСВІТИ

The procedure of development of spiritual and moral values in the content of education through the use of interdisciplinary approach and certain ontological and axiological bases is presented, which give the opportunity to build a hierarchy of twelve educational/all-mankind values that can be laid in the basis of the content of education.
ПОЗАЕКРАННЕ ЗАДЗЕРКАЛЛЯ ВІРТУАЛЬНОГО МИСТЕЦЬКОГО ПРОЦЕСУ

The method is to transcend the essence of the student in the field of relations with teachers. Studying the role of the body as a tool to achieve the learning goal. Comparison of the tools of a living human teacher, which is in front of the monitor screen and the screen image of a student who is deprived of natural tools (hearing, sight, touch, etc.). What exactly will give rise to the transition and long stay of human consciousness where there is no language of the human body, which identifies our state in the living space of art and education?
ПРОЄКТНЕ НАВЧАННЯ ЯК НЕВІД’ЄМНА СКЛАДОВА ПРОФЕСІЙНОГО ВИХОВАННЯ В ЗАКЛАДАХ ВИЩОЇ ОСВІТИ

Today, a graduate of a higher education institution must not only be a professional in his field, but also have the ability to design. For this purpose, it is necessary to widely use project-based learning in teaching practice. The main features of students’ project activities are defined in the article. Areas of application of project activities are outlined. Formulated skills necessary for the implementation of project activities
ОСНОВНІ ВИМОГИ ПРИ ВІДБОРІ ЗАСОБІВ НАВЧАННЯ ТЕХНОЛОГІЇ ДОПОВНЕНОЇ РЕАЛЬНОСТІ

The use of augmented reality technology in the educational process necessitates the refinement of goals, content, and other components of the educational process. Teaching aids must meet technical and technological, didactic and methodical, psychological, functional, ergonomic and aesthetic requirements