Reviewerly/exHarmony huggingface dataset:
Correlation Filter of Multiple Candidates Match for Anti-Obscure Tracking in Unmanned Aerial Vehicle Scenario

Due to the complexity of Unmanned Aerial Vehicle (UAV) target tracking scenarios, tracking drift caused by target occlusion is common and has no suitable solution. In this paper, an occlusion-resistant target tracking algorithm based on the correlated filter tracking model is proposed. First, instead of the traditional target tracking model that uses single template matching to locate the target, we locate the target by finding the optimal match based on multiple candidates templates matching. Then, in order to increase the accuracy of matching, we use the self-attentive mechanism for feature enhancement. We experiment our proposed algorithm on datasets OTB100 and UAV123, respectively, and the results show that the tracking accuracy of our algorithm outperforms the traditional correlated filtered target tracking model. In addition, we have also tested the anti-occlusion performance of our proposed algorithm on some video sequences in which the target is occluded. The results show that our proposed algorithm has a certain resistance to occlusion, especially in the UAV tracking scenario.
Extending the Hierarchy of System Specifications and Morphisms with SES Abstraction

This article works toward a unification of two related concepts that underpin system-theory-based modeling and simulation–the hierarchy of system specifications and morphisms and the System Entity Structure (SES). The hierarchy organizes system specification along levels ranging from behavior to structure capturing increasing knowledge of the system input/output processing and state dynamics. The SES is a constructive ontology describing compositions of modular components via coupling of input/output ports. Toward unification of these concepts, we propose an abstraction of the SES called the MetaSES that supports the construction of complex systems of systems with multiple components belonging to specified classes. Moreover, we place the MetaSES within a computational framework with the goal of making it easier to design and build complex hierarchical DEVS models and to communicate their structures and intended behaviors to foster continued reuse and development. We discuss several examples of applications to illustrate how the MetaSES-based enhancement of the hierarchy of system specifications and morphisms helps to push the boundaries of complexity management in the theory and practice of modeling and simulation. Research directions stemming from the proposed concepts are suggested.
Deep Cascade AdaBoost with Unsupervised Clustering in Autonomous Vehicles

In recent years, deep learning has achieved excellent performance in a growing number of application fields. With the help of high computation and large-scale datasets, deep learning models with huge parameters constantly enhance the performance of traditional algorithms. Additionally, the AdaBoost algorithm, as one of the traditional machine learning algorithms, has a minimal model and performs well on small datasets. However, it is still challenging to select the optimal classification feature template from a large pool of features in any scene quickly and efficiently. Especially in the field of autonomous vehicles, images taken by onboard cameras contain all kinds of targets on the road, which means the images are full of multiple features. In this paper, we propose a novel Deep Cascade AdaBoost model, which effectively combines the unsupervised clustering algorithm based on deep learning and the traditional AdaBoost algorithm. First, we use the unsupervised clustering algorithm to classify the sample data automatically. We can obtain classification subsets with small intra-class and large inter-class errors by specifying positive and negative samples. Next, we design a training framework for Cascade-AdaBoost based on clustering and mathematically demonstrate that our framework has better detection performance than the traditional Cascade-AdaBoost framework. Finally, experiments on the KITTI dataset demonstrate that our model performs better than the traditional Cascade-AdaBoost algorithm in terms of accuracy and time. The detection time was shortened by 30%, and the false detection rate was reduced by 20%. Meanwhile, the training time of our model is significantly shorter than the traditional Cascade-AdaBoost algorithm.
Comparison of Diagnostic Performance in Mammography Assessment: Radiologist with Reference to Clinical Information Versus Standalone Artificial Intelligence Detection

We compared diagnostic performances between radiologists with reference to clinical information and standalone artificial intelligence (AI) detection of breast cancer on digital mammography. This study included 392 women (average age: 57.3 ± 12.1 years, range: 30−94 years) diagnosed with malignancy between January 2010 and June 2021 who underwent digital mammography prior to biopsy. Two radiologists assessed mammographic findings based on clinical symptoms and prior mammography. All mammographies were analyzed via AI. Breast cancer detection performance was compared between radiologists and AI based on how the lesion location was concordant between each analysis method (radiologists or AI) and pathological results. Kappa coefficient was used to measure the concordance between radiologists or AI analysis and pathology results. Binominal logistic regression analysis was performed to identify factors influencing the concordance between radiologists’ analysis and pathology results. Overall, the concordance was higher in radiologists’ diagnosis than on AI analysis (kappa coefficient: 0.819 vs. 0.698). Impact of prior mammography (odds ratio (OR): 8.55, p < 0.001), clinical symptom (OR: 5.49, p < 0.001), and fatty breast density (OR: 5.18, p = 0.008) were important factors contributing to the concordance of lesion location between radiologists’ diagnosis and pathology results.
Quantum-Solving Algorithm for d’Alembert Solutions of the Wave Equation

When faced with a quantum-solving problem for partial differential equations, people usually transform such problems into Hamiltonian simulation problems or quantum-solving problems for linear equation systems. In this paper, we propose a third approach to solving partial differential equations that differs from the two approaches. By using the duality quantum algorithm, we construct a quantum-solving algorithm for solving the first-order wave equation, which represents a typical class of partial differential equations. Numerical results of the quantum circuit have high precision consistency with the theoretical d'Alembert solution. Then the routine is applied to the wave equation with either a dissipation or dispersion term. As shown by complexity analysis for all these cases of the wave equation, our algorithm has a quadratic acceleration for each iteration compared to the classical algorithm.
FUZZY ADAPTIVE CLUSTERING UNTUK MENGETAHUI PENGARUH FAKTOR LINGKUNGAN HIDUP TERHADAP TINGKAT KELUHAN KESEHATAN

Health is something that is very valuable for a person. Along with the development of life, there are more and more various health complaints. The purpose of this study was to determine the effect of environmental factors on the level of health complaints. The data analysis method uses a classification method, namely clustering using Fuzzy Adaptive Clustering (FAC). In this case, the number of clusters is determined, namely 3 clusters. Environmental factors with the largest average percentage value in cluster 1, namely ownership of garden or land infiltration and waste sorting behavior, and environmental factors with the smallest percentage in cluster 1 are porous infiltration holes, presence of perennials, and the habit of using used water for purposes other. Environmental factors with the largest average percentage in cluster 2, namely the presence of perennials and porous infiltration holes and environmental factors with the smallest percentage in cluster 2 are ownership of motorized vehicles, garden/soil infiltration and waste sorting treatment. While environmental factors with the largest average percentage in cluster 3 are infiltration wells, the habit of using used water for other purposes and ownership of motorized vehicles.
Evaluation of Flutter framework time efficiency in context of user interface tasks

The article describes a comparative analysis of the time performance between native Android applications (created with the Android SDK and Java language) and applications created with the Flutter multi-platform framework. The study consisted of creating three pairs of applications that are functionally identical with each other using both programing tools, and then examining the time taken to perform individual actions by both applications. The functionality of the test applications consisted mainly of tasks related to operating on the user interface. The study was carried out on the Huawei P30 using Perfetto tool. Results confirm that native apps are more time efficient than Flutter apps.
Comparison of the cross-platform mobile applications performance in 2D graphics processing

The article presents a comparison of cross-platform frameworks in 2D graphics processing. The tests consisted in applying filters to 2D images, and then the image processing time and standard deviation were measured. The test will be conducted on the Huawei P8 and Samsung A50 phones. The comparison concerns two very popular cross-platform programming frameworks: Flutter and Xamarin.
User experience analysis while visiting selected virtual museums

The paper concerns the study of User Experience by focusing on the usability and user satisfaction aspects. The purpose of this paper was to evaluate the usability of two selected virtual museums conducted with 3 research methods: using an oculograph, a System Usability Scale (SUS) usability survey and Nielsen heuristic. The examination was conducted on the following museums that offer virtual tours: Muzeum Instrumentów Muzycznych in Poznan and Muzeum Zamojskie in Zamosc. The participants of the eye tracking experiment and the SUS survey were 22 students of Computer Science at the Politechnika Lubelska, while the Nielsen heuristics analysis was performed by 3 graduate students with relevant qualifications. The obtained eye tracking data, the results of the SUS questionnaires and the evaluation of the Nielsen heuristics were analyzed quantitatively. In addition, a qualitative analysis of eye tracking results was conducted, which provided heat maps and scanning paths. As a result, it was revealed that in the oculography method, the analyzed websites obtained comparable results. However, in the test performed with the SUS usability survey Muzeum Instrumentów Muzycznych achieved a better result. The expert team reviewing Nielsen heuristics also ranked the museum higher.
Abstracts are the Keys to Understanding Intellectual business

This research aims to show the value of abstracts and their added value, this is by revealing the nature of the abstract and the different types of abstracts, and then revealing the types of abstracts in reading, time-saving, and in the media. The documentary approach was used to achieve the goals of this research, which was among its most prominent results; reaching the content of substantive content in research and studies, informing researchers about the material content of the document, and realizing that it contains objective content that saves time and cost in reading. Moreover, define the different types of abstracts. This works to address the problem of the information explosion, which has become a part of the work obstacles due to the abundance of intellectual production. It also facilitates the process of overcoming language barriers in research and studies. Moreover, it shows sufficient linguistic knowledge and stylistic accuracy from the authors in their field of specialization, and indexing librarians in mastering their work, which gave the abstracts an essential role in the document description.
The Development of Interactive E-Module Using Flipbookmaker for English Structure Learning at an Indonesian University

This study aims to develop an interactive e-module for English Structure course to support digital learning in the English Study Program, Universitas Riau, Indonesia. The research used a Research and Development (R&amp;D) approach and applied the ADDIE model consisting of five stages; analyse, design, development, implement and evaluate. The products developed were animated videos and interactive quizzes integrated into an electronic module using the Flipbook maker application. The e-module consists of three chapters with several sections in each chapter: video based explanation, text based description, example, interactive quizzes, and chapter summary. The results of the validations of media expert and material expert of the animated videos are 3.55 (very valid) while the interactive quizzes got an average score of 3.85 (very valid). Then, for the validations of the e-module, it go an average score of 3.96 (very valid) and 3.23 (valid) from the material expert and the media expert, respectively. On the whole, the average score of the validations is 3.60 (very valid). The e-module has been implemented to a group of students (n=20). The students’ responses show that the e-module has a very good category (3.75 for the attractiveness aspect and 3.61 for the convenience aspect). Therefore, it can be concluded that the e-module has a very good quality, both in terms of its materials and media, and is eligible to be utilized as a digital learning resource for Pre-Intermediate Structure course in the English department of Universitas Riau, Indonesia.
Interface usability analysis of selected streaming services in Poland

The aim of this paper is to analyse the interface quality of selected services providing video-on-demand on the Polish internet market. Interfaces of three services were evaluated (Netflix, Amazon Prime Video, and Player). The evaluation was conducted using an expert review, an eye-tracking study, and an accessibility assessment using the WAVE web tool. For the study, a research thesis was established – Netflix has the most usable interface among the three streaming portal interfaces studied. As a result of the evaluation of three research methods, the thesis has been confirmed.
Evaluasi Literatur Tugas Akhir Mahasiswa Prodi D-3 Perpustakaan di Ruang Baca FKIP UNTAN Periode 2019-2020

This research discusses citation analysis that can be used as a tool for evaluating library collections. The aim is to investigate the type, author, half-life, and availability of literature being cited and also the different numbers of certain literature used in the final assignments of D-3 Library students. The research method used is descriptive quantitative with the research population of all final assignments of D-3 Library students from 2017-2020, amounting to 71. The writer used a documentation techniques to collect the data. The results show that the literature cited books are 686 (68.39%), theses/thesis/final assignments are 156 (16%), journals are 72 (7.18%), websites are 61 (6%), laws as many as 21 (2.09%), as many as 7 dictionaries (0.7%). The most frequently cited authors were Sugiyono with 44 citations and Sulistyo Basuki with 35 citations. The half-life of the citation literature was 4 years. The availability of cited literature was 811 (81%). For every year, literature has a different number in usage. There were some enhancements in the use of books, journals, and internet websites in 2017-2020.
Pengelolaan Perpustakaan Masjid Berdasarkan Keputusan Direktur Jendral Bimbingan Masyarakat Islam Nomor 543 Tahun 2019 di Perpustakaan Masjid Al-Markaz Al-Islami Makassar

This study aims to determine the implementation and the obstacles in implementing the mosque library management guidelines based on the Decree of the Director General of Islamic Community Guidance Number 543 of 2019 at the Al Markaz Al Islami Makassar mosque library. This research is descriptive with a qualitative approach. Data collection techniques were carried out by observation, interviews and documentation. Data processing and analysis techniques were carried out through three stages: data reduction, data presentation and conclusion. The results of the study show that the implementation of the Director General of Islamic Community Guidance Decree Number 543 of 2019 regarding guidelines for managing mosque libraries in the Al Markaz Al Islami Makassar mosque library has mainly been implemented. It's just that there are still guidelines that cannot be implemented, namely the guidelines for library financing, collaboration and promotion. The obstacles to implementing the Decree of the Director General of Islamic Community Guidance Number 543 of 2019 in the management of the Al Markaz Al Islami Makassar mosque library were the lack of human resources, library promotion has not been maximized, lack of budget support from the Foundation, and technological facilities are often disrupted
Penggunaan Handphone dan Dampaknya bagi Aktivitas Belajar

The rapid advancement of information and communication technology affects every aspect of human life. The field of education is no exception. For communication purposes, cellphones can have positive and negative effects on student learning activities. The purpose of this study was to determine the effect of using mobile phones on the learning activities of junior high school students in Jakarta. This study uses a qualitative method. An interview study was used to explore the impact of cell phone use on ten students. This study produces data that the use of mobile phones affects student learning activities in high school. From 10 respondents, it can be assumed that the use of mobile phones with an average duration of 2 hours greatly affects student learning activities. But cell phones also have a bad impact. Among them, it interferes with eye health, makes students forget time to study, and sees pictures that are inappropriate for students to see. The fact states that 100 percent of students are dependent on cellphones.
Membangun Kolaborasi Pustakawan dan Fakultas dalam Meningkatkan Keterampilan Literasi Informasi Mahasiswa

The fast-moving, unlimited flow of information and the appearance of various publications of information sources both printed and non-printed make students as information users trapped in the many sources of information circulating and do not allow them to evaluate one by one. Therefore, it takes the role of librarians and academics to form an information literacy programme as an effort to improve students' information literacy skills. The purpose of this study is to find out and describe the extent to which the readiness of librarians and lecturers of UIN North Sumatra in building collaboration to form an information literacy learning curriculum programme in lectures. This research uses a descriptive qualitative approach with data analysis techniques using the Miles and Huberman model. The results stated that librarians and lecturers strongly support the implementation of collaboration to integrate information literacy into the learning curriculum. However, in reality, librarians and faculty are still not ready to assign librarians as teaching staff who will teach information literacy learning in the classroom. So the reviewer suggests that UIN North Sumatera library can move more actively to encourage librarians to various skill development activities that can improve teaching competence.
Penerapan Metode Mendongeng dalam Meningkatkan Kemampuan Bahasa Anak

This research was conducted with the aim of knowing the application of storytelling methods in improving the language skills of children. The method in this study uses a case study approach and uses a descriptive-qualitative method. While the data collection techniques were carried out by means of observation, interviews and documentation. Data analysis used is domain analysis, taxonomic analysis and componential analysis. The results of this study are the application of storytelling methods to children can build first language skills, create learning communities, and understand children's development.
Artificial intelligence from the perspective of polish intellectual property law. Selected issues

Keywords: artificial intelligence, intellectual property law, copyright, industrialproperty law, computer programs&#x0D; In Poland, as in other countries, there is an ongoing discussion on legal issues related to artificial intelligence. Formany people, there is no doubt that this intelligence should be protected. The problem rather narrows down to what conditions must be met for this protection. Some Polish scientists want to wait for solutions to be developed in the European Union.Poland, as a member state of the European Union, must respect the regulations emerging at the EU level. These regulations are only being planned. There is a certain risk in introducing new regulations in Poland without waiting for EU solutions.It could turn out that the laws adopted by Poland would be incompatible, not in compliance with European law.On the other hand, the software producers' communities are pushing for the introductionof relevant legislation now. They claim that this is needed to protect the funds that are being invested in artificial intelligence in Poland. In their view, without proper legislation, investors will reduce financial support for the developmentof artificial intelligence. In fact, however, the computer manufacturers' communityis not at all concerned with protecting 'mere' artificial intelligence. It is protected in Poland and can be provided by copyright law in particular. The most important issue in Poland already relates to the protection of creations generatedby artificial intelligence. This is in fact what the computer software development community and beyond cares most about.However, the protection of creations of artificial intelligence is not only about benefits, but also about threats. This will be discussed further in the article. Some lawyers are considering how to interpret the existing legislation so that the protectionof artificial intelligence creations is already possible. They want to use existing theoretical constructs to justify this protection.