Reviewerly/exHarmony huggingface dataset:
Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design

Camouflage is the main means of anti-optical reconnaissance, and camouflage pattern design is an extremely important step in camouflage. Many scholars have proposed many methods for generating camouflage patterns. k-means algorithm can solve the problem of generating camouflage patterns quickly and accurately, but k-means algorithm is prone to inaccurate convergence results when dealing with large data images leading to poor camouflage effects of the generated camouflage patterns. In this paper, we improve the k-means clustering algorithm based on the maximum pooling theory and Laplace's algorithm, and design a new camouflage pattern generation method independently. First, applying the maximum pooling theory combined with discrete Laplace differential operator, the maximum pooling-Laplace algorithm is proposed to compress and enhance the target background to improve the accuracy and speed of camouflage pattern generation; combined with the k-means clustering principle, the background pixel primitives are processed to iteratively calculate the sample data to obtain the camouflage pattern mixed with the background. Using color similarity and shape similarity for evaluation, the results show that the combination of maximum pooling theory with Laplace algorithm and k-means algorithm can effectively solve the problem of inaccurate results of k-means algorithm in processing large data images. The new camouflage pattern generation method realizes the design of camouflage patterns for different backgrounds and achieves good results. In order to verify the practical application value of the design method, this paper produced test pieces based on the designed camouflage pattern generation method and tested the camouflage effect of camouflage pattern in sunny and cloudy days respectively, and the final test results were good.
A Study on Determination of Facility Maintenance Timing for Photovoltaic System Using Hybrid Failure Rate

Recently, the PV(Photovoltaic) penetration has increased rapidly in Republic of Korea. And quite a lot of PV systems has been installed in small capacity. And the PV systems have difficult to have its own maintenance planning system due to difficulties in securing economic feasibility. Therefore the maintenance planning method for PV systems that can be generally applied are attracting considerable. Although the age replacement policy, one of the traditional RCM(Reliability Centered Maintenance) methodology, is excellent for determining the replacement cycle of facilities. But It evaluates that the facilities as good as new after maintenance. In this paper, the maintenance planning method for PV system facilities based on RCM has been proposed. To evaluate the failure rate after the imperfective maintenance, hybrid model has been applied. In addition, the economic feasibility of maintenance has been compared by considering investment cost and loss of the implementation for preventive maintenance policy.
Antennas Manufactured from Conductive Fabric Materials

This chapter studies Radio Frequency Identification (RFID) new technologies and their applications in human clothes and digital life. First, we study embroidered textile antennas, manufactured from conductive fibrous materials, for wireless identification and sensing applications. We compare the properties and characteristics of various conductive textiles and demonstrate antenna-embroidery methods based on conductive yarns and textile substrates. Design considerations for embroidered antennas, including parasitic effects, resistance of conductive yarns and deformation sensitivity of different geometries, are analyzed with examples. We further measure the Radio Frequency (RF) performance of embroidered textile antennas in various design cases. Embroidered RFID or Near Field Communication (NFC) antennas can also be used as sensing devices through the exploitation of antenna-sensing techniques (a.k.a. antenna impedance modulation). Several fabric-based wearable sensor applications including human-body movement tracking, vital sign monitoring and human–computer interaction are demonstrated. Then, we introduce the design processing and functional simulation of antennas for smart bookshelf. This chapter can be utilized as guidelines for the design and fabrication of embroidered electronic textile (e-textile) devices and for the design Internet of Things (IOT) application for digital library.
Ha and Fu: Interface to Breathe on a Smartphone

This study used front-camera face tracking to realize interactions such as blowing on a smartphone to make it foggy or tapping on it to make it puff. We used the parameters of the lower jaw opening, the lip closing, and the lip stretching to identify these actions. Additionally, we enabled pointing based on the position and direction of the face and implemented four applications using this interface.
Assessment of Instructor’s Capacity in One-to-Many AR Remote Instruction Giving

In this study, we focused on one-to-many remote collaboration which requires more mental resources from the remote instructor than the case of one-to-one since it is "multitasking". The main contribution of our study is that we assessed instructor’s capacity in one-to-many AR remote instruction giving both subjectively and objectively. We compared the remote instructor’s workload while interacting with a different number of local workers, assuming tasks at an industrial site. The results showed that the instructors perceived stronger workload and the communication quality became lower when interacting with multiple local workers. Based on the results, we discussed how to support the remote instructor in a one-to-many AR remote collaboration.
Object Manipulation Method Using Eye Gaze and Hand-held Controller in AR Space

When manipulating virtual objects in AR space, the target object is often occluded by other objects partially or completely (hereinafter, occlusion problem). In addition, the hand-ray manipulation that is commonly used in many AR devices requires the user to keep raising the arm within the range of the hand tracking sensor and causes the gorilla-arm problem. In this study, we propose an object manipulation method that combines eye gaze and a hand-held controller to mitigate the occlusion problem and gorilla-arm problem in AR environments. In the proposed method, the user controls the ray’s direction with eye gaze, and the user adjusts the length of the ray and selects objects with the hand-held controller.
Simulation, stories, and fictional worlds

The authors explain our attraction to strange, literary places as resulting from our attraction to strange places in real life. I believe this is correct and important. The aim of the following commentary is to show that their main conclusion is closely related to - even (retrospectively) predictable from - the operation of simulation and the consequences of that operation for storytelling.
Sistem Pakar Penanganan Jaringan Komputer Berbasis Delphi

Learning computer network material, especially computer network damage diagnosis material, is an abstract and difficult material to understand. The main objective of this research is to develop learning media that utilizes an expert system based on Borland Delphi 7 on valid computer network damage diagnosis material. This research was conducted in August 2021 at SMK 2 Serang. This learning media development design follows the ADDIE (Analyze, Design, Development, Implementation, Evaluation) stage. The validation of this learning media program includes content validation and the design of the media itself. Based on the results of data analysis, it was found that the learning media developed in this study had a very high validity value from the two aspects assessed. For the validity of this learning media subject matter, the validation by the expert is 3.61 and the validation by the teacher is 3.6 so it is very relevant to the concepts that will be taught using this media, while the validity of the media design by the expert is 3.5 and by the teacher 3.62 so that the learning media This research can be declared suitable to be used to support learning in schools
Penerapan Pembelajar Aktif Melalui Teknik Find Thefib Untuk Meningkatan Hasil Belajar Biologi Pada Siswa Kelas XI SMA Jaya Negara Makassar

Research This is class action research( PTK ). The subjects of this study are class XI students of SMA Jaya Negara Makassar.This study aims to describe the improvement of biology learning outcomes through the Find TheFib technique in biology learning for class XI students of SMA Jaya Negara Makassar, with a total of 24 students consisting of 11 men and 13 women. The Find theFib technique is a technique that uses a true and false system, where 2 choices are right and 1 choice is wrong. The research method used is class action research (PTK) with quantitative and qualitative approaches. Data collection using interview instruments, observation sheets and test results. The data analysis techniques in this study use quantitative analysis and qualitative analysis. Based on the results of this research, learning through the Find the Fib technique can increase activities and learning outcomes of Biology in class XI students of SMA Jaya Negara Makassar
Hubungan Motivasi Belajar Dengan Prestasi Mahasiswa Mik Di Stikes Santa Elisabeth Medan

Education must be able to be moved in a directed manner, so that the implementation of education is able to keep up with increasingly advanced technological developments, and so that education can be carried out based on science which is very rapidly at this time, it is expected to be able to make humans with high quality. Methods: This study uses quantitative research methods using a cross-sectional design, where cross-sectional is used to determine the relationship between learning motivation and student achievement. This research data uses the chi-square test to see if there is a relationship between learning motivation and student achievement. The population in this study were all students of health information management from level 1 to level 4, totaling 47 students. Results: Based on the results of research conducted on the relationship between learning motivation and student achievement in Health Information Management at Stikes Santa Elisabeth Medan, it showed that the majority in the High Motivation category were 28 respondents (59.6%), and learning achievement was in the good category as many as 27. respondents (57.4%). The results of the chi-square analysis conducted on the relationship between learning motivation and learning achievement showed that from 47 respondents, the p-value = 0.001 (p value &lt;0.05). Conclusion: The lower the motivation possessed by students, the lower the achievement obtained. Vice versa, the higher the motivation possessed by students, the higher the achievement obtained
Intelligent logistics SaaS platform design

This paper mainly introduces the platform design process, namely "how to do" process. Platform design should follow the characteristics of the SaaS model software, give full consideration to platform scalable, scalability, performance and so on can be configured, multi-tenant way of implementation, introduces the function of platform architecture, design goal and thought, secondly on overall technical architecture, support technology and function of this platform. Finally, several construction and operation modes and profit modes are considered to meet the sustainable development of the platform. The design of the platform can provide high-quality information software services for small and medium-sized enterprises, and contribute to improving the efficiency and increasing economic income of the logistics industry.
Factors Affecting Tertiary EFL Students’ Use of Mobile-assisted Language Learning Tools to Practice Listening Skills

Listening is deemed one of the most crucial skills for EFL learners. Besides, with the emergence of mobile-assisted language learning (MALL) tools in the digital era, there is a growing tendency for EFL learners to employ mobile devices as learning tools so as to practice their listening skills anytime and anywhere. This paper presents the findings of a study into ELF learners’ notions of the factors influence their employment of MALL tools for their listening practice. This mix-methods study was conducted at a university in Ho Chi Minh City. The study involved 155 EFL students in answering closed-ended questionnaires and 12 of them in participating in semi-structured interviews. The quantitative data were processed by SPSS version 20 in terms of descriptive statistics, whilst the qualitative data were analyzed by the content analysis approach. The findings revealed that participants believed teacher-related factors were the most significant factors in their deployment of MALL tools to practice their listening skills. On the contrary, it was found out that learning environment-related factors and learner-related factors performed a subordinate role in affecting ELF students’ use of MALL tools to improve their listening skills.
Pseudo-Supervised Defect Detection Using Robust Deep Convolutional Autoencoders

Robust Autoencoders separate the input image into a Signal(L) and a Noise(S) part which, intuitively speaking, roughly corresponds to a more stable background scene (L) and an undesired anomaly (or defect) (S). This property of the method provides a convenient theoretical basis for divorcing intermittent anomalies that happen to clutter a relatively consistent background image. In this paper, we illustrate the use of Robust Deep Convolutional Autoencoders (RDCAE) for defect detection, via a pseudo-supervised training process. Our method introduces synthetic simulated defects (or structured noise) to the training process, that alleviates the scarcity of true (real-life) anomalous samples. As such, we offer a pseudo-supervised training process to devise a well-defined mechanism for deciding that the defect-normal discrimination capability of the autoencoders has reached to an acceptable point at training time. The experiment results illustrate that pseudo supervised Robust Deep Convolutional Autoencoders are very effective in identifying surface defects in an efficient way, compared to state of the art anomaly detection methods.
Aspects of Creating Parallel Programs in Dataflow Programming Paradigm

The imperative programming paradigm is the main one for creating sequential and parallel programs for the vast majority of modern computers, including supercomputers. A feature of the imperative paradigm is the sequence of commands. This feature is an obstacle to the creation of efficient parallel programs, since parallelism is achieved at the expense of additional code. One of the solutions to the problem of overhead for parallel computing is the creation of such a computing model and the architecture of the system that implements it, for which the parallel execution of the algorithm is an immanent property. This model is a dataflow computing model with a dynamically formed context and the architecture of the parallel dataflow computing system "Buran". A complete transition to dataflow systems is hampered, among other things, by the conceptual difference between the dataflow programming paradigm and the imperative one. The article compares these two paradigms. First, parallel data processing is an inherent property of a dataflow program. Second, the dataflow program consists of three elements: a set of initial data, a program code, and a parameterizable distribution function. And third, a conceptually different approach to the algorithmization of the task — the data themselves store information about who should process them (in traditional programs, on the contrary, the command stores information about what data should be processed). The article also presents the structure of a dataflow program and the route for creating a dataflow algorithm. The translation of basic algorithmic constructions (following, branching, loops) is considered on the example of simple problems.
Informatics of Innovation: The Way of High School Students Towards Future Participation in Import Substitution

Many high school students will have to participate in import substitution processes in their future professional activities. &#x0D; Import substitution is the creation of goods and services that are in demand by citizens and society, competitive with foreign analogues or superior in quality.&#x0D; Only marketable products that meet the needs of citizens and society for sustainable development and self-realization are in demand.&#x0D; Innovative products are focused on meeting the needs of citizens and society.&#x0D; The creation of innovative goods and services is a controlled process, reproduced according to a specific algorithm, presented in the form of a logistic curve.&#x0D; The Federal State Educational Standard of Secondary General Education provides for the formation of high school students' motivation and ability to innovate, as well as the ability to carry out individual innovative projects using education informatization technologies, taking into account the identified needs of citizens and society. &#x0D; This contributes to the formation of the orientation of high school students towards practical patriotic self-realization in the processes of import substitution in their future professional activities.
Development and Application of a Workbook and a Reader on the Discipline «History of Russia» As Educational Means for Organizing Student’s Independent Work

The authors proceed from the fact that the implementation of the competency-based approach is a condition for the effective training of bachelors of an economic university. The purpose of the study was to theoretically substantiate and design a workbook and anthology as didactic tools for organizing student's independent work. The methodological basis of the study was the competence-based approach, and the theoretical basis is the concept of mental activity, which was formed in domestic science. The article analyzes the author's educational publications – a workbook and an anthology intended for practical exercises and independent work of students in the direction of bachelor's degree 09.03.03 «Applied Informatics» (all profiles) in the discipline «History of Russia». In this study, theoretical methods (analysis, comparison, concretization, generalization, modeling), empirical methods (pedagogical experiment, analysis of activity products) were used.
Formation of the Ability to Solve Physical Tasks in 7th -11th Grades: Studying the Process Dynamics

The article is devoted to the problem of the formation of students' ability to solve physical tasks as an important component of the development of physical thinking. The process of teaching physics is considered from the point of view of mastering various methods of solving tasks by pupil. The method is understood as an approach for solving physical problems in which phenomena related to the same topic are analyzed (for example, tasks on geometric optics). Any such method consists of sub-methods consisting in the application of a specific formula or some other sequence of intellectual actions (for example, the Lenz rule). The concept of a generalized one-formular (two- and three-formular) physical task is introduced as a theoretical problem, for the solution of which it is necessary to use one (two or three) physical formulas. A content analysis of standard school textbooks and task books was carried out, formulas were written out, the number of one-form, two- and three-form tasks were determined, which, in principle, a student can solve (understand) after studying each paragraph. As a result, the dependence graph of the number of tasks understood by the student on time is obtained.
Machine-learning approach for detecting cyberattacks in Medical Internet of Things

To secure wearable sensor data sharing through the cloud (Think speak server) by utilizing the merits of Medical Internet of Things (IoMT), an encryption technique as well as machine learning-based attack detection is developed. The usage of wearable Internet of Things (IoT) devices is escalating day by day and the risks in cyber threats also raising exponentially. While considering the privacy and security of the data over internet, all possible threats and attacks have to be considered. The main attacks presented in wireless networks are data injection attack, Denial of Service (DoS) attack and Zero day attack. The data is protected using the advanced encryption standard (AES) encryption technique, while mentioned attacks are detected using the capabilities of artificial neural networks (ANNs) in the technique explained. The proposed method is capable of detecting different attacks and ensures more security to the data over internet. The method can be used in many other applications such as vehicular IoT, wireless sensor networks (WSNs) and Industrial IoT.
Management of restrictions during the SARS-Cov-2 pandemic in Central European countries

The SARS-COV-2 pandemic, which affected many countries, including the countries of Central Europe, caused many changes in the functioning of society to date. These changes concerned numerous limitations of human rights and freedoms that were imposed by public authorities on individuals in countries affected by the pandemic. The fight against the pandemic has confronted the governments, as well as the societies living in them, with previously unknown challenges. For in no country in Central Europe has there been any special pandemic legislation that would uniformly regulate the powers of the state in situations of similar disasters. However, in order to effectively control the threats associated with the epidemic, an international exchange of experiences and new normative solutions in the realities of the current crisis situation become necessary. The fight against the epidemic, although it is associated with severe restrictions and limitations on the rights and freedoms of each individual, must be properly perceived by society as a society-wide effort requiring sacrifice, the success of which requires joint and coordinated cooperation of all entities.
Investigating the effect of Grammatical Competence Strategies in teaching writing skills

This study aims to implement grammatical competence strategies (inductive, inductive, and interactive) in developing students' writing in grammar and their attitudes towards English as a foreign language. To achieve the purpose of the study, the researchers applied the tools to target a sample of second intermediate-grade female students at Maysaloon Girls School in two groups, Experimental and control were used in this study. The experimental group was taught the inductive, deductive, and interactive strategies, and the control group studied the traditional way method. While at a time when new trends in language teaching encourage the use of interactive methods of stimulation and maintaining student interest, and the constant tendency to retain a teacher-centred approach to teaching English grammar is counterproductive. The most effective methods currently available are monotonous by heart. Learning needs no longer dominate the main part of the lesson. The interactive strategy is multi-skilled and learner-centred and designed to teach a specific grammatical concept will also be introduced. To answer the main research question of whether inductive, deductive, and interactive methods are so, the researchers used a more effective introductory method of teaching grammar instead of the traditional method, so grammatical competence plays a significant role in students’ language. When students have Grammatical Competence, they will be able to develop their writing comprehension.