Reviewerly/exHarmony huggingface dataset:
An improved predator-prey particle swarm optimization algorithm for Nash equilibrium solution

Focusing on the problem incurred during particle swarm optimization (PSO) that tends to fall into local optimization when solving Nash equilibrium solutions of games, as well as the problem of slow convergence when solving higher order game pay off matrices, this paper proposes an improved Predator-Prey particle swarm optimization (IPP-PSO) algorithm based on a Predator-Prey particle swarm optimization (PP-PSO) algorithm. First, the convergence of the algorithm is advanced by improving the distribution of the initial predator and prey. By improving the inertia weight of both predator and prey, the problem of "precocity" of the algorithm is improved. By improving the formula used to represent particle velocity, the problems of local optimizations and slowed convergence rates are solved. By increasing pathfinder weight, the diversity of the population is increased, and the global search ability of the algorithm is improved. Then, by solving the Nash equilibrium solution of both a zero-sum game and a non-zero-sum game, the convergence speed and global optimal performance of the original PSO, the PP-PSO and the IPP-PSO are compared. Simulation results demonstrated that the improved Predator-Prey algorithm is convergent and effective. The convergence speed of the IPP-PSO is significantly higher than that of the other two algorithms. In the simulation, the PSO does not converge to the global optimal solution, and PP-PSO approximately converges to the global optimal solution after about 40 iterations, while IPP-PSO approximately converges to the global optimal solution after about 20 iterations. Furthermore, the IPP-PSO is superior to the other two algorithms in terms of global optimization and accuracy.
Pengukuran Tingkat Kesiapan E-learning Guru di Kota Jayapura di Masa Pandemik Covid-19

E-learning is one of the revolutions in the education system that encourages the acceleration of quality learning. The Covid-19 pandemic has become a catalyst for accelerating the implementation of e-learning in Jayapura, Papua. Teachers are required to be able to adapt to this rapid change. Thus, E-learning becomes essential amid the pandemic, yet the ICT indicators reveal many barriers to implementing it. This study aims to assess the level of readiness of the teachers in implementing the e-learning system. Data was collected by distributing questionnaires to the teachers from elementary to high school in Jayapura City. Technology infrastructures, human resources, and e-learning content were the main variables to measure. This study indicated that based on teachers' perceptions, more than 70 percent were using google classroom as an e-learning platform. The level of readiness was level 3 (ready with minor improvements). Infrastructures, internet access, and e-learning content availability are the indicators that needed extra attention for improvement
Experiments on Kaldi-Based Forced Phonetic Alignment for Brazilian Portuguese

Forced phonetic alignment (FPA) is the task of associating a given phonetic unit to a timestamp interval in the speech waveform. Phoneticians are able mark the boundaries with precision, but as the corpus grows it becomes infeasible to do it by hand. For Brazilian Portuguese (BP) in particular, only three tools appear to perform FPA: EasyAlign, Montreal Forced Aligner (MFA), and UFPAlign. Therefore, this work aims to develop resources based on Kaldi toolkit for UFPAlign, including their release alongside all scripts under open licenses; and to bring forth a comparison to the other two aforementioned aligners. Evaluation took place in terms of the phone boundary metric over a dataset of 385 hand-aligned utterances, and results show that Kaldi-based aligners perform better overall, and that UFPAlign models are more accurate than MFA’s. Furthermore, complex deep-learning-based approaches did not seem to improve performance compared to simpler models.
Problem-Based Learning Model with Video Media to Improve Writing Skills

Students are less interested in writing because teachers tend to use textbooks as the only medium in learning. This has an impact on students' low writing skills. The purpose of this study is to analyze the problem-based learning model assisted by video learning. to improve critical response text writing skills. This type of research is classroom action research. This study follows the stages of classroom action research, each cycle consisting of four stages, namely planning, action, observation, and reflection. The subjects of this research were 28 students of class IX. Methods The methods used to collect data are observation, interviews, and tests. The instruments used to collect data are questionnaires and test sheets. The data analysis used in this research is descriptive qualitative and quantitative descriptive analysis. The results showed that the application of the problem-based learning model assisted by video media could improve students' critical response text writing skills. The increase in the average score of critical response text writing skills is 11, from an average of 80 to 91. So, learning can be said to be successful because overall, students are complete. Students also gave a very positive response in participating in learning to write critical response texts by applying a problem-based learning model assisted by video media with a score of 22.89.
Development of Audio Visual Media Based on Sparkol Videoscribe in Thematic Learning in 4th Grade Elementary School

The role of learning media in the learning process is an integral part that cannot be separated from the world of education. The important role of the media is very influential on the learning outcomes of students in the classroom. Through interviews and observations with class teachers, it was found that there were problems that existed at SDIT Darul Falah, one of which was the use of media in the classroom infrequently. From the results of these observations and interviews, researchers had the opportunity to develop an audiovisual media using a sparkol videoscribe-based whiteboard animation. This study aims to develop learning media and determine the development of the R2D2 model which has been modified by the researcher according to the needs with the define, and design and development stages. The data analysis technique to assess validity was calculated by finding the final score and its relevance to the Likert scale, while the analysis of student test data was calculated by looking for DSI (individual absorption), RK (class average), and KBK (classical mastery learning). Students are said to be able to absorb learning and learning is said to be successful if the final results of DSI and RK are above 68 (KKM SDIT Darul Falah). Based on research that has been done, the results of this development product are published in 3 versions, namely by web, CD (compact disk), and also on youtube. The results of field trials through the use of sparkol videoscribe-based media can be said to be valid with an overall average of 89.5. Then the learning outcomes of students with an average of 77.5, the number of students completed with a percentage of 88.9%.
Needs analysis on English language use by homestay owners in Ubud Gianyar

This study aims to conduct a basic level needs analysis of the use of English by homestay owners in the village of Ubud, Gianyar, Bali. The analysis was carried out in three main areas, namely what the learners know in terms of language skills and language functions, what they do not know in terms of problems they encountered in in handling guests and what they want to know in terms of their expectation to increase their competencies in handling guests. This study used a mixed method research by exploratory design that focuses on a qualitative approach before measuring or testing it quantitatively. The results showed that in terms of language skills what they need the most are speaking and listening skills, whereas in terms of language functions they mostly need general conversation, providing information, providing services and answering question. In terms of problem they often face are guests who speak too fast, do not have enough vocabulary and the feeling of insecure communicating with guests. In terms of expectation on language use, homestay owners need a standard of language pattern which includes handling guests from checking in to checking out.
Cryptanalysis and improvement of an encryption scheme that uses elliptic curves over finite fields

In this paper, we cryptanalyzed a recently proposed encryption scheme that uses elliptic curves over a finite field. The security of the proposed scheme depends upon the elliptic curve discrete logarithm problem. Two secret keys are used to increase the security strength of the scheme as compared to traditionally used schemes that are based on one secret key. In this scheme, if an adversary gets one secret key then he is unable to get the contents of the original message without the second secret key. Our analysis shows that the proposed scheme is not secure and unable to provide the basic security requirements of the encryption scheme. Due to our successful cryptanalysis, an adversary can get the contents of the original message without the knowledge of the secret keys of the receiver. To mount the attack, Mallory first gets the transmitted ciphertext and then uses public keys of the receiver and global parameters of the scheme to recover the associated plaintext message. To overcome the security flaws, we introduced an improved version of the scheme.
Software for Bayesian Statistics

In this summary we introduce the papers published in the special issue on Bayesian statistics. This special issue comprises 20 papers on Bayesian statistics and Bayesian inference on different topics such as general packages for hierarchical linear model fitting, survival models, clinical trials, missing values, time series, hypothesis testing, priors, approximate Bayesian computation, and others.
A Novel Framework for Aspect Knowledgebase Generated Automatically from Social Media Using Pattern Rules

One of the factors improving businesses in business intelligence is summarization systems which could generate summaries based on sentiment from social media. However, these systems could not produce automatically, they used annotated datasets. To automatically produce sentiment summaries without using the annotated datasets, we propose a novel framework using pattern rules. The framework has two procedures: 1) pre-processing and 2) aspect knowledgebase generation. The first procedure is to check and correct misspelt words (bigram and unigram) by a proposed method, and tag part-of-speech all words. The second procedure is to automatically generate aspect knowledgebase used to produce sentiment summaries by the sentiment summarization systems. Pattern rules and semantic similarity-based pruning are used to automatically generate aspect knowledgebase from social media. In the experiments, eight domains from benchmark datasets of reviews are used. The performance evaluation of our proposed approach shows the high performance when compared to other approaches.
Sistem Informasi Penerimaan Siswa Baru Berbasis Web pada SMK Muhammadiyah 7 Jakarta

The problem that often occurs in the implementation of new student admissions is the delay in time from the decision holder who is in charge of distributing new student admission circulars that are not on time while prospective students have come to school and are ready to register, in the admission process they still use the form. in paper form so that prospective students are required to come to school and fill out data, there is no system capable of assisting the admissions process, and files used for registration are sometimes lost when they are needed to check student data. In order to create an adequate system that is able to overcome the problems that occur, it is necessary to create a system that can overcome the process of accepting new students quickly and according to the planned schedule. penelitian This provides a solution by reviewing some of the theory and field observations in order to design new admissions information system based on web. The application development methodology that the author uses is the SDLC (System Develop Life Cycle) method with the waterfall process model until the testing stage. The programming language used is PHP and utilizes the MySQL database as a database server. This New Student Admissions information system provides information in the form of registration activities for new prospective students, verification of registration requirements, and announcement of written test results for all prospective new students who register at SMK Muhammadiyah 7. This New Student Admission application provides convenience in carrying out the Admission process. New Students, especially for prospective new students who are outside Jakarta, or for prospective new students who are quite far from the location of SMK Muhammadiyah 7
A resilient micro-payment infrastructure: an approach based on blockchain technology

Resilient micro-payment infrastructures are critical assets to digital economy as they help protecting transactions and promote micro shopping. In this paper, we present a micro-payment infrastructure based on blockchain technology that is capable of decreasing the complexity of transactions’ verification, reducing losses, and protecting against various cyber attacks. This infrastructure is user trust-aware, in the sense that it builds a trust function capable of providing real time management of the user’s trust levels based on historic activity and then adapts the level of verification and risk of user’s misconduct. Moreover, three different trust models are developed to provide different estimations of the tokens’ block size to be submitted to the blockchain network for verification and management of the user waiting time. The micropayment infrastructure provides different security services such as authentication, doublespending and double-selling prevention, tokens forging prevention, transaction traceability, and resilience to cyber-attack. In addition, its reactivity is improved through the reduction of the verification delay and user waiting time.
Model for Identification and Prediction of Leaf Patterns: Preliminary Study for Improvement

Purpose: Many studies have conducted studies related to automation for image-based plant species identification recently. Types of plants, in general, can be identified by looking at the shape of the leaves, colors, stems, flowers, and others. Not everyone can immediately recognize the types of plants scattered around the environment. In Indonesia, herbal plants thrive and are abundantly found and used as a concoction of traditional medicine known for its medicinal properties from generation to generation. In the current Z-generation era, children lack an understanding of the types of plants that benefit life. This study identifies and predicts the pattern of the leaf shape of herbal plants. Methods: The dataset used in this study used 15 types of herbal plants with 30 leaf data for each plant to obtain 450 data used. The extraction process uses the GLCM algorithm, and classification uses the K-NN algorithm. Result: The results carried out through the testing process in this study showed that the accuracy rate of the leaf pattern prediction process was 74% of the total 15 types of plants used. Value: Process of identifying and predicting leaf patterns of herbal plants can be applied using the K-NN classification algorithm combined with GLCM with the level of accuracy obtained.
Third Party Public Auditing Scheme for Cloud Storage

Abstract: Thus the new auditing scheme has been developed by considering all these requirements. It consist of three entities: data owner, TPA and cloud server. The data owner performs various operations such as splitting the file to blocks, encrypting them, generating a hash value for each, concatenating it and generating a signature on it. The TPA performs the main role of data integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on it. It later compares both the signatures to verify whether the data stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. The cloud server is used only to save the encrypted blocks of data. This proposed auditing scheme make use of AES algorithm for encryption, SHA-2 for integrity check and RSA signature for digital signature calculation. In this philosophy, users of cloud storage services no longer physically maintain direct control over their data, which makes data security one of the major concerns of using cloud. Existing research work already allows data integrity to be verified without possession of the actual data file. When the verification is done by a trusted third party, this verification process is also called data auditing, and this third party is called an auditor. As a result, every small update will cause re-computation and updating of the authenticator for an entire file block, which in turn causes higher storage and communication overheads. In this paper, we provide a formal analysis for possible types of fine-grained data updates and propose a scheme that can fully support authorized auditing and fine-grained update requests. Basedon our scheme, we also propose an enhancement that can dramatically reduce communication overheads for verifying small updates Keywords: Cloud computing, big data, data security, authorized auditing, fine-grained dynamic data update
Concurrent Process Histories and Resource Transducers

We identify the algebraic structure of the material histories generated by concurrent processes. Specifically, we extend existing categorical theories of resource convertibility to capture concurrent interaction. Our formalism admits an intuitive graphical presentation via string diagrams for proarrow equipments. We also consider certain induced categories of resource transducers, which are of independent interest due to their unusual structure.
Research on Multiple Mobile Robots Scheduling Based on Penalized Hybrid A* Algorithm and S-T Graph

With the wide application of mobile robots, multiple mobile robots scheduling problem has attracted much attention. When parked in a confined space, due to the fixed and single exit, mobile robots are easy to cause conflicts in the outbound process, resulting in low efficiency. In order to improve the overall performance of mobile robots, a scheduling scheme for multiple mobile robots is proposed in this paper. In view of mobile robots with complicated kinematic constraints, penalized hybrid A * algorithm is used to obtain a smooth path. The improved A * algorithm based on S- T graph is adopted to determine velocity of mobile robots assuring collision-free with moving objects. The experimental simulation demonstrates that the scheme can make multiple mobile robots of good performance leave the confined space as soon as possible along the smooth path.
A LOOK AT THE MUSIC EDUCATION IN SCHOOLS: FORMS AND METHODS OF MUSIC EDUCATION

This article discusses the teaching of music education in general secondary schools, music perception, dance and rhythmic movements, instrumental and creative activities.
Identity Access Management (IAM), Privilege Access Management (PAM) &amp; Security Operation Center (SOC)

The best practice in integration usually is PAM solution to be primarily implemented, followed by a complimentary IAM solution. IAM & PAMIn conclusion, it is clear that if you organization is managing lot of privileged accounts and passwords, along with other CIAM and Workforce IAM capabilities, better to back you system with a good PAM solution integrated to a IAM solution. IX. FUTURE WORKOn-Premise implemetation of the IAM solution over the site.
Адаптивные методы градиентного типа для задач оптимизации с относительной точностью и острым минимумом

In this paper, we consider gradient-type methods for convex positively homogeneous optimization problems with relative accuracy. An analogue of the accelerated universal gradient-type method for positively homogeneous optimization problems with relative accuracy is investigated. The second approach is related to subgradient methods with B. T. Polyak stepsize. Result on the linear convergence rate for some methods of this type with adaptive step adjustment is obtained for some class of non-smooth problems. Some generalization to a special class of non-convex non-smooth problems is also considered.
Creative Universities in the Digital Age: Transformation of Academic Traditions and New Strategies

The article considers the main factors that determined the transformation of the structure and functions of higher art education in the digital age.The new possibilities of creative universities are analyzed and the prospects for their development are identified.The technological breakthrough that is characteristic of all spheres of digital civilization has led to a change in the ways of art existence, a revision of the traditional parameters of creativity, and a rethinking of the hierarchy of artistic values.The emergence of virtual tools, new ways of processing, storing and broadcasting artistic information, expanding the boundaries of figurative and symbolic perception-all this has determined the need for the development of new knowledge, the introduction of new creative specialties, the development of modern foundations of art management, etc.At the same time, the digital age has raised the question of the need to preserve fundamental academic traditions with greater urgency.The authors come to the conclusion about the unprecedented responsibility of modern creative universities in forming the personality of an artist who is aware of his mission in culture.
THE ANTITHETICAL EFFECT OF CYBERCRIME ON SMALL MEDIUM ENTERPRISE SMES: PUBLIC ASSESSMENT

Notwithstanding the emergent indications and fears about the effect of cybercrime, only a few speculative studies have explored the topic to complement those published by consultancy firms, cybersecurity companies, and private institutions. The review of all these studies shows that there is no consensus on how to delineate and measure cybercrime or its effect on Small and Medium Scale Enterprises. Against this background, this research paper had four objectives namely to: determine the effect of Cybercrime on Small and Medium Scale Businesses; identify the real cost of Cybercrime to Ghana SMEs; identify the reasons for the increase of cybercrimes in Ghana SMEs and; identify the causes of cybercrime in Ghana SMEs. A cross-sectional study is used to assess the burden of cost or IT needs of a population and are particularly useful in informing the planning and allocation of IT resources. The study consists of forty-nine (49) participants. The target population is small and medium enterprises in Ghana. Simple random sampling was used to recruit and select the study respondents. As the name implies, simple random sampling means that, in this case, small and medium enterprises in Ghana will be chosen entirely by chance, and each of these enterprises in Ghana has an equal chance or probability of being selected. Furthermore, eight small and medium enterprises in Ghana were involved. And these SMEs include businesses that buy and sell, transportation companies, etc. The findings of the research confirmed the assumptions put forward since there were statistically significant variations in the proportion of people who participated in cybercrime activities based on their age and the size of the business in which they worked.