Reviewerly/exHarmony huggingface dataset:
Efficient Phase-Functioned Real-time Character Control in Mobile Games: A TVM Enabled Approach

In this paper, we propose a highly efficient computing method for game character control with phase-functioned neural networks (PFNN). The primary challenge to accelerate PFNN on mobile platforms is that PFNN dynamically produces weight matrices with an argument, phase, which is individual to each game character. Therefore existing libraries that generally assume frozen weight matrices are inefficient to accelerate PFNN. The situation becomes even worse when multiple characters are present. To address the challenges, we reformulate the equations and leverage the deep learning compiler stack TVM to build a cross-platform, high-performance implementation. Evaluations reveal that our solutions deliver close-to-peak performance on various platforms, from high-performance servers to energy-efficient mobile platforms. This work is publicly available at https://github.com/turbo0628/pfnn_tvm.
PEMANFAATAN SLIMS DALAM SISTEM KATALOGISASI DI RUMAH BACA ANAK NAGARI DAERAH BUKITTINGGI

The impact of technology and internet became the background for the establishment of Rumah Baca Anak Nagari, as well as a component of knowledge management support at RBAN in processing library materials. RBAN used SLiMS as a processing collection system on cataloging and information retrieval activities. This study aims to determine the extent/existence the use of SLiMS application in cataloging system at Rumah Baca Anak Nagari, and the steps of how to operate those application system. This research uses descriptive qualitative research as its method. The findings describe the use of SLiMS application in RBAN is with applying the bibliography feature for the library materials cataloging activity, which produce catalogs and call number labels to facilitate RBAN staff in finding library materials. The operation of SLiMS on the bibliography menu goes through some stages of filling in bibliography descriptions and subject analysis, based on the ISBD bibliography description standard and the DDC classification scheme. It can be concluded that the use of the SLiMS application in RBAN on the bibliography menu runs quite optimally, but has not run optimally in another menu such as membership and circulation features.
Penerapan Data Mining Pada Penjualan Produk Digital Konter Leppangeng Cell Menggunakan Metode K-Means Clustering

The Leppangeng Cell counter is a counter that sells digital products in the form of Credit, Data Packages, PLN Electricity Tokens, Electricity Payments, BPJS Payments, PDAM Payments. Spidy or Indihome Payments, Home Phone Payments, Postpaid Payments, Game Voucher Sales, Cable TV Payments, Credit Installment Payments, Train Ticket Payments, PGN/Gas Payments, Shope Payments and Cash Transfer Services and Top Up. However, from the counter sales, of course, not all of them sell well, there are also products that don't sell. Sales data, purchases and unexpected expenses at the Leppangeng Cell Counter are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using K-Means at the Leppangeng Cell Counter. The K-Means method can be applied to the Leppangeng Cell Counter to determine sales of digital products that are selling well and not selling well. The application of the K-Means method at the Leppangeng Cell Counter is by grouping digital product stock data. Then select 3 random grub as initial centroid. After the data for each group does not change, the results of data processing are obtained in the form of 114 products that sell, 5 underperforming, and 14 not sold. Then, the application of the K-Means method to Rapidminer is carried out by entering the initial product stock, the sold stock and the final stock to be changed and form K-Means. After that, Rapidminer will produce which products have high and low demand
Penerapan Api Whatsapp Dalam Pelayanan Uji Plagiasi Universitas Bina Insan Berbasis Web Mobile

Currently, the service for plagiarism testing or plagiarism testing at Bina Insan University is through a sending system using gmail, where this plagiarism test is carried out as a requirement for students to get a diploma, the file that is carried out for the plagiarism test is the result of the student's thesis which is made into a journal, software that used to check this plagiarism using the Turnitin service. Plagiarism checking itself is currently carried out by the LPPM section where the checking process is that students first send a journal from the results of the thesis that has been approved by the Supervisor to be tested for plagiarism, from the current system there are many obstacles and shortcomings including when sending using In gmail, there is often a buildup and irregularity of the existing data, which causes the process of checking student journals to be tested for plagiarism a little longer, not to mention that students rarely open their gmail to see the results that have been sent by the LPPM team. The solution that the author offers in this research is to create a new mobile web-based system, where this system will later be equipped with the Whatsapp API feature, the Whatsapp API acts as a liaison between the system and the user, where the way it works is that every process that has been carried out in the system automatically The Whatsapp API will automatically provide notifications both to students and the LPPM admin itself, the results obtained from this research are that the presence of the Whatsapp api can speed up and simplify the data collection and testing process that will be carried out.
Utilizing Speed Reading Technique for Students’ Ability in Comprehending Text

Learning to read in junior high school is one of the language skills that plays an important role. Reading skill is the third skill that is mastered by students in having a role in language skills and mastery of other subject matter. This study aims to determine students' speed-reading ability. This research used descriptive quantitative method. The population of this study were all students of class VIII SMP Negeri 35 Makassar with a total of 288 students. The sample is 36 students. The sampling technique is a side random technique. Data obtained were analyzed using the percentage technique. The results of the data analysis showed that from 36 students as respondents, only 20 students (55.55%) managed to score above 75. This shows that the speed-reading ability of class VIII students of SMP Negeri 35 Makassar is still poor because it is still under of the standard, which is at least 85% of all respondents. Therefore, it is recommended that students and teachers be more active and that the learning support facilities are improved.
The problem of interactivity of modern media on the example of the film "The Inner Empire" by David Lynch

The author of the work raises the question of whether the term "interactivity" is applicable exclusively to works with the presence of a mechanism for selecting storylines, or it is permissible to assert that any work open to a variety of interpretations and containing some interactive potential can also be recognized as interactive. The author argues that the prerequisites for the appearance of such works should be sought in the works of avant-gardists of the 1960s, such as Paul Sharitz, and the cinema of postmodernism. The object of the study is the film "The Inner Empire" by David Lynch, which the author defines as a work with interactive potential. The subject of the study is hyper-narrative constructions and methods of their construction. The purpose of the work is to answer the question of how screen works become interactive, despite the lack of mechanisms for choosing storylines in them, how the Internet is connected with this, and why all this actualizes the method of exclusion described by Viktor Shklovsky back in 1916. The novelty of the research lies in the author's proposal of the concept that a screen work without mechanisms of direct choice of plot moves can be attributed to the interactive group due to the presence of a certain "interactive potential" in it. As an answer to the question under what conditions such an interactive potential can be detected in a work, the author puts forward the hypothesis that its appearance is preceded by hyper-narrative constructions and the use of the technique of exclusion in the text.
Penerapan Metode PIECES Sebagai Evaluasi Tingkat Kepuasan Pengguna Aplikasi Telegram Sebagai Media Knowledge Sharing

Knowledge sharing has an important role in the student learning process in sharing knowledge with fellow friends and with teachers. Now there is a text messaging/messenger-based feature/application that helps students share knowledge such as telegrams. But whether the telegram application can run optimally in the knowledge sharing process or not, we don't know yet, for that it is necessary to analyze the performance of telegram. The purpose of this study is to determine the level of satisfaction of users of Telegram as an application for knowledge sharing. The method used to measure the level of user satisfaction is using the PIECES method. The results of this study indicate that the Telegram application gets an average value of 3.52 which indicates that users are very satisfied in using the Telegram application as a knowledge sharing application.
Emotional Intelligence and Self Efficacy as A Contributor of Student Mathematics Learning Outcomes

This study aims to determine the contribution of emotional intelligence and self-efficacy to mathematics learning outcomes with the research object of 52 grade IX students in the 2020/2021 school year of MTsN 1 Yogyakarta. This type of research is quantitative with ex post facto research methods. The instrument used is a scale of emotional intelligence and self-efficacy. The data analysis technique used is multiple regression analysis. The results of data analysis show that the value of R = 0.479 and R2 = 0.229 with the probability value in the regression test being 0.002. These results mean that emotional intelligence and self-efficacy contribute to students' mathematics learning outcomes
APLIKASI SISTEM INFORMASI WEB DESIGN PARIWISATA ACEH DAN JASA PENGINAPAN BERBASIS GIS (GEOGRAPHIC INFORMATION SISTEM)

The purpose of this service is to provide understanding and training of web applications for students to be able to implement web applications into tourism applications. Furthermore, to search for accommodation locations, there are directions for walking using GIS. Furthermore, the GIS application is implemented for locating services on mobile devices and can be accessed via web and mobile networks. The problem with this service is that students do not understand how to make web-based tourism destination applications that produce Location Based Service on web devices and then help to find information and tourism locations from the user's starting point location to the route that can be taken to the tourism location. Furthermore, the use of web media as a medium to find hotel information combined using a web-based mobile application which is a Location Based Service (LBS) according to the user's location to get the location and route to the destination hotel location quickly and easily. The results of this service are students can understand how to make web in applying the web by searching for tourism places by having several main views, namely finding the location of the closest tourism place according to the user's location. Thus this system will make it easier for users or the public to see tourism locations and help the Aceh Culture and Tourism Office in increasing the number of tourism visitors so that it can indirectly increase regional income, especially in the Aceh area.
SIMULATION OF FLEXIBLE PRODUCTION UNIT OPERATION USING PETRI NETS

The article shows the sequence of developing a working model of active elements in the production of aluminum evaporators. Here, the development of a model for the operation of active elements in the production of aluminum evaporators is considered. The devices included in the flexible production model of the sewerage site are shown. The module shows the sequence of operations for air ducts on aluminum evaporators. Then, a fuzzy model of the activity of active elements of the flexible production supply chain model for the production of aluminum evaporators is described in the form of a fuzzy algebraic Petri net. The structure of flexible production systems has been developed. The network structure is obtained by determining the positions of the fuzzy algebraic Petri net, the number of links, as well as the input and output functions of each position and transition.After determining the structure of the fuzzy algebraic Petri net, a graph diagram of the operating model of the flexible production module of the site was built. In addition, an algorithm for automating and analyzing the operation of a fuzzy network of an algebraic Petri net has been developed. A description of the individual elements of the system and transitions is given, incidence matrices are given, an algorithm for automating and analyzing the activity of Petri nets, on the basis of which the sequence of transitions is analyzed, and individual transitions are described. Formulas for the analysis of restrictions are given. Based on the developed algorithm, a sequence of links developed in the original markup was obtained. The route of the robot was determined in the course of the developed markings. This route is presented in expanded link order. As a result, the cycle is repeated when loading and unloading the hydraulic press.
TEACHING ROBOTICS AT PRIMARY SCHOOLS

Robots, robotics, robotic toys and robotic kits are a much-discussed topic in today's education.How to include robotics in the teaching process?In which years to include robotics?What robotic toys or kits to use in teaching?In which subjects and areas to implement robotics?Is robotics part of the Framework and School educational programs?Why include robotics in the teaching process?These are issues that are currently being addressed by many primary and secondary school teachers.We will not stop technological progress and development.Robotics is a field that is developing very fast.Robots are an integral part of our lives and helpers in various fields and households.Due to the huge shortage of workers in some fields, robots are also beginning to replace human factors.Today, robotic toys and kits are one of the ways to start building a relationship with technology and robotics in children in kindergarten, primary school, high school or university.
Big Data Machine Learning Using Apache Spark Mllib

The examination local area has utilized man-made brainpower, and specifically machine learning, in various ways to change various unique and, surprisingly, heterogeneous data sources into excellent realities and information, offering driving capacities to exact example finding. In any case, utilizing machine learning strategies on enormous and convoluted datasets is computationally costly and utilizes a great deal of coherent and actual assets, including central processor, memory, and data record space.In the current study collected the review of different researchers from 2010 to 2022. As how much data produced consistently arrives at quintillions of bytes, it is turning out to be more pivotal than any other time in recent memory to have a vigorous stage for powerful big data examination. Quite possibly of the most notable big datum investigation stages is Apache Spark MLlib, which gives various extraordinary capabilities for machine learning applications like relapse, grouping, aspect decrease, bunching, and rule extraction. This study's hidden reason is that Spark ML's big data execution and precision are fundamentally better than Spark Mllib's. The dataset for bank client exchanges is utilized in the correlation. We are probably not going to have the option to handle the sums and sorts of data we are managing with conventional programming arrangements. Thus, present day big data handling innovations that can disperse and deal with data in a versatile way are either coordinated into or taken over by conventional business knowledge (BI) frameworks. Big data innovation can likewise assist us with learning more about security, which can be found from colossal databases. The big data examination motor Apache Spark is utilized in the review to introduce a security-related data investigation.
University classes during the state of emergency in Serbia introduced after the outbreak of the COVID-19 pandemic crisis: Students’ attitudes

The state of emergency was declared in Serbia in the spring of 2020 due to the pandemic of the new disease, COVID-19. As a result, distance learning was introduced for the first time at Serbian universities - online learning in utterly specific crisis circumstances caused by the outbreak of the pandemic of a completely unknown infectious disease. This model of learning was adjusted to that fact in the form of emergency remote teaching. The paper presents the results of examining the attitudes of female students of teacher education faculties in Serbia regarding the efficiency and sustainability of the distance learning model in which they gained experience. The sample included 399 female students, who completed an online survey designed for the purposes of this research. The results of the survey showed the strengths and weaknesses of distance learning as a formerly untapped potential in higher education in Serbia, which specifically refers to the teaching model applied during the state of emergency introduced due to the crisis caused by the COVID-19 pandemic. Also, the differences in the knowledge of digital technologies by the professors came to the fore in terms of the methods that the professors used in their work. The results suggest that distance learning can be a useful tool in the process of knowledge transfer in higher education, but that final year students are most affected by the inability to acquire knowledge in practice that cannot be virtually compensated, which is a very important step in their work training, as well as the pronounced general problem of lack of social interaction and meeting social needs, arising as a result of the pandemic. In contrast, increased leisure time and health reasons stand out as the main advantages of the new teaching model, which is significantly characterized by the crisis environment.
A novel differential evolution with staged diversity enhancement strategy

Differential evolution (DE) algorithm is a simple and efficient evolutionary computing technology. Although DE has achieved good results in many fields, inappropriate parameter combinations can easily lead to the problem of premature convergence. In response to this problem, this paper proposed an effective DE with staged diversity enhancement strategy (SDESDE), which can increase the diversity of the population. In the early stage of SDESDE evolutionary process, SDESDE emphasises the balance search strategy, and use the diversity enhancement strategy to avoid getting trapped in the local optima in the middle stage. In the later stage, the faster convergence strategy is adopted. Besides, an adaptive mechanism is added to enhance the control of population diversity at different stages to close to the global optima faster and improve the efficiency of search. The proposed SDESDE algorithm is compared with four representative DE and experimental results demonstrate that the proposed algorithm not only has better performance in maintaining population diversity but also has highly competitive in overall performance.
A Reliable Service Function Chain Orchestration Method Based on Federated Reinforcement Learning

The novel cloud-edge collaborative computing architecture can provide more efficient and intelligent services close to users. Reliable service function chain orchestration among datacenters is critical to ensuring computing efficiency. In this study, a service orchestration model is proposed to improve the reliability while reducing cost. The solution is a federated reinforcement learning framework that shares decision-making experiences to obtain reliable and effective service orchestration results between different datacenter environments. The simulation results demonstrate that the proposed orchestration method reaches convergence faster and has a significant performance in terms of improving service reliability.
Communications as an ESG factor of sustainable development: analysis of the media discourse of social networks

The problematization of the study is based on the identification and analysis of social factors of sustainable development. In the ESG system, communication factors help shape the public space. The problems of ESG principles and factors are increasingly reflected in today's media news, which is manifested in the growth of publicity and replication of this topic in social media.. The article examines the influence of new media on public relations and relations, on the processes of socialization of new generations entering life. The modern media industry is transforming business models and management decisions driven by trends for sustainable development, significant changes are taking place in socio-cultural life, in the field of media and communications. Social media plays an important role in ensuring sustainable development. Communications that are initiated in the information space make it possible to convey the meanings of the values of sustainable development to audiences using various tools and media channels. The accounts of various social networks generate and retransmit content that can contribute to the promotion of the principles of sustainable development. The analysis of the media discourse of social networks made it possible to identify the pain points of this process. The research is aimed at identifying the specifics of public relations, the formation of a culture of media behavior in social networks of representatives of different generations and the importance of communication in order to implement the concept of sustainable development.
Analysis of pre-processing methods for lossless compression of multi‑component medical images based on latent variable models

Since the lossless image compression based on hierarchical latent variable models requires proper image pre-processing, we analyze the performance of different pre-processing methods to guide the training of the model for multi‑component medical images.
Microscale concave interfaces for reflective displays generate concentric rainbows

Structural color utilizing microscale concave interfaces has been reported in several publications, but the explanation is currently incomplete. Within this work, the physics behind this coloration technique is clarified using multiple light sources and simulations.