Reviewerly/exHarmony huggingface dataset:
Security analysis of DeyPoS scheme

Recently, He et al: [3], proposed a concrete scheme of deduplicatable dynamic PoS called DeyPoS, toachieve dynamic PoS (Proof of Storage) and secure cross-user deduplication, simultaneously. However,after a close look at their proposed scheme, we identity some security weaknesses. In this paper,we show the security vulnerability of DeyPoS scheme, compromise of data privacy and unforgeability.
THE IMPLEMENTATION OF STUDENTS' CHARACTER BUILDING THROUGH THE SCHOOL LITERACY MOVEMENT AT SMP NEGERI 1 SENGKANG, WAJO REGENCY

This study aims to determine the implementation of character building of students through the school literacy movement at SMP Negeri 1 Sengkang, Wajo Regency. This research is classified as qualitative research with historical, phenomenological, pedagogical, sociological, and psychological approaches. Researchers conducted interviews with teachers, education staff, resource persons, and students at SMP Negeri 1 Sengkang, Wajo Regency, to obtain data in the field. In addition, direct observations are also made on the material and stages of implementing activities. The data obtained from interviews and direct observations were analyzed by qualitative methods to determine the implementation, supporting and inhibiting factors, and efforts to overcome the inhibiting factors. The results showed that the formation of student character through the school literacy movement at SMP Negeri 1 Sengkang, Wajo Regency, was carried out integrally in implementing 15-minute habituation to reading. They responded to reading content through book reading journals, optimizing literacy facilities and a text-rich environment, and selecting reading books. The formation of his character is seen in the habituation of 15 minutes of reading. The optimization of literacy means a text-rich environment that gives birth to a character of curiosity and love to read, responding to the content of readings through book reading journals, and the selection of reading books that give birth to honest characters. The supporting factors are the positive response and good cooperation from school stakeholders, optimization of library services, and the role of parents/guardians through the collaboration of school committees.
Changes of Cyber Hacking Attack Aspect of North Korea Cyber-Attack Groups Applying MITRE ATT&amp;CK

In the process of preparing cyber security and space security enhancement plans worldwide, cyber attackssuch as North Korean cyber attacker groups Thallium, Kimsuky, Geumseong 121, and Lazarushave developed into advanced levels and continue to threaten cyber security and space security. TheNorth Korean cyber attack team has been strengthening cyber attacks by using social engineeringtechniques through political and social issues for unspecified numbers of people using detailed attackstages, procedures, technologies and tools using cyber kill chain technology, starting with APTattacks in the past. In this paper, we use the enemy cyber threat analysis data to analyze the correlationbetween North Korean cyber attack groups by applying MITRE’s ATT&amp;CK, and estimate thesource of attack origin such as open vulnerability, malicious code information, attack group cyberattack characteristics, and attack cases. Through this, we propose Aspect change in cyber hackingattacks by North Korean cyber attack groups based on ATT&amp;CK.
Modern methods of teaching computer programs in education system research

The article is an overview, analysis, and generalization of information about methods of teaching computer graphics. The article is devoted to the use of modern teaching methods in education. Teaching computer graphics is one of the most important areas of using a personal computer, which is considered today the most important component of training. The article also considers the data ofthe study on the use of the electronic method of training. Itcan be noted that it is necessary to introduce modern teaching methods that contribute to the development of a versatile personality.Attention should be paid to the widespread use of various information sources, and interactive technologies. In addition, the introduction of modern electronic methods in the training process will intensifythe training process, save time, and create the possibility of performing virtual demonstration shows using available equipment.The methods of teaching computer graphics presented in the article are based on the interconnection of several components that are closely intertwined in the educational process. Methods are associated with the choice of appropriate methods, forms, and the development of didactic teaching tools. Also, methods are aimed at the formation of creative abilities, considering the individual preferences of the student, as well as the modern requirements of society.
The results of an empirical study of the volitional qualities of university students

Thearticle deals with the problem of the importance of volitional qualities in the process of professional training of students at the university. In addition, the relevance of the current study of volitional qualities is described. For students, such qualities as dedication, perseverance, organization, independence, discipline, initiative, accuracy, diligence, etc., related to the volitional qualities of the personality, become necessary. Based on the results of the research work in the presented article, the levels of the students' qualities were determined and the results obtained were presented. A quantitative and qualitative analysis of the indicators of the results of the study was carried out. According to the results of the study, students in the process of educational activity during training at the university have positive dynamics of their volitional qualities -dedication, perseverance, self-control, and endurance. The obtained indicators are characteristic of 3-4 courses of study, there is an increase in the high level of severity of the indicated qualities. Qualities -decisiveness and courage have a zigzag character of dynamics, i.e. the severity of the high level of these qualities increases by the 3rd year of study and decreases to the average in the 4th year. The results of a comparative analysis of the dynamics of volitional qualities of students as subjects of the educational process are given
The level of research into the formation of a professional personality

Today, the formation of a professional personality is especially important for the evolution of society.The importance of the issue can be explained by the creation of the “Society for Personality Assessment”, which brings together scientists from Western countries, and the use of the Professional Personality Questionnaire at the global level.The formation of a professional personalityprovides for the organization of an integrative structure for the training of professionals, whichguarantees the personal growth of a new personality.Therefore, the purpose of this descriptive study is to study the problem of the formation of a professional personality.The formation of a professional personality is associated with personal development, professional development, harmonious relationships, home, cultural development,and a health promotion.Analyzedthe role of motivation in the process offorming a professional personality; the empathy of teachers on this issue; emotional and professional practice; and a possible professional crisis.Determinedthe effectiveness of using a systematic approach in the study of professional activity in the framework of the formation of a professional personality.The article reveals the relevance of theoretical understanding of the formation of a professional personality.An indexed study on the Web of Knowledge was used to identify the problem.The author of the article came to the conclusion that the formation of a professional personality begins with thechoice of a profession and continues throughout a person’s professional life.
Meningkatkan Kemampuan Pengucapan Kata melalui Metode Direct Instruction bagi Anak Tunadaksa

In this study the researcher made observations on one subject of a child with disabilities in which he experienced speech delays. To develop the children's speaking ability, the researchers did pronunciation exercises in which there were bilabial letters using the direct instruction method. The type of research used is single subject research (SSR) with A-B-A design. The results of this study found that the direct instruction method can improve the ability to pronounce words for children with disabilities. Based on the results of the research, the pronunciation of words using the direct instruction method can improve the pronunciation of words in which there are bilabial letters in children with disabilities. This can be seen in the baseline conditions (A1) the ability to pronounce words in which there are bilabial letters is still low as evidenced by the results obtained by the children, namely 10%, In the intervention condition (B) after the intervention using the direct instruction method, the ability to pronounce words in which there are increased bilabial letters is proven by the child getting scores, namely 80% . Whereas in the baseline condition (A2) after the intervention was stopped or not given anymore because the ability to pronounce the word which contained the child's bilabial letters had increased by getting a score of 80%. Overlap data in the analysis between conditions, at baseline (A1) and intervention (B) conditions was 100% and the results of the comparison analysis between the intervention conditions (B) and the baseline conditions (A2) showed that the percentage of overlap data was 37,5%. The smaller the overlap percentage, the better the effect of the intervention on changing target behavior in this research.
A Novel Similarity Based Unsupervised Technique for Training Convolutional Filters

Achieving satisfactory results with Convolutional Neural Networks (CNNs) depends on how effectively the filters are trained. Conventionally, an appropriate number of filters is carefully selected, the filters are initialized with a proper initialization method and trained with backpropagation over several epochs. This training scheme requires a large labeled dataset, which is costly and time-consuming to obtain. In this study, we propose an unsupervised approach that extracts convolutional filters from a given dataset in a self-organized manner by processing the training set only once without using backpropagation training. The proposed method allows for the extraction of filters from a given dataset in the absence of labels. In contrast to previous studies, we no longer need to select the best number of filters and a suitable filter weight initialization scheme. Applying this method to the MNIST, EMNIST-Digits, Kuzushiji-MNIST, and Fashion-MNIST datasets yields high test performances of 99.19%, 99.39%, 95.03%, and 90.11%, respectively, without applying backpropagation training or using any preprocessed and augmented data.
KECEPATAN MEMBACA ARAB MELAYU ANTARA KELAS 2020 A DAN 2020 C PROGRAM STUDI PENDIDIKAN BAHASA DAN SASTRA INDONESIA UNIVERSITAS RIAU

This study aims to determine the level of students' reading speed. The samples in this study were Class A and C students of the Indonesian Language and Literature Study Program, Faculty of Teacher Training and Education, University of Riau. The data analysis technique is a test technique. Quantitative data analysis techniques were used to analyze the results of the reading speed reading test in Arabic Malay. The data analysis procedure was to measure students' reading speed in reading Malay Arabic texts. Based on the research results, it was found that the reading speed of 2020 A students was 52.58 kpm and that of 2020 C students was 52.65 kpm. This shows that reading speed is still below the standard for student reading speed in the Malay Arabic reading form, which is 200 kpm. Thus, it can be concluded that students tend to read slowly to reduce reading errors, so that their reading speed is below standard.
DESIGN OF A LAN NETWORK DISORDER DIAGNOSTIC SYSTEM WITH A KNOWLEDGE-BASED SYSTEM USING THE FORWARD CHAINING METHOD(CASE STUDY: STAR ENERGY GEOTHERMAL DARAJAT II, LIMITED)

Lack of knowledge about LAN network can be overcome by an expert with his knowledge and experiences. Expert systems are developed together with the existence of the information technology. The development of expert systems is aimed as aid facilities to provide solutions in our lives. This expert system can help technicians to get solutions quickly and can save the time. Expert systems use computer technology to integrate, manipulate and display information or features. Expert systems can also help in taking better solutions. This system uses forward chaining method which is the inference method using logical reason that is started from the previous fact to examine the validity of hypotheses. This system is created using JAVA Netbeans program and database using MySQL. This system is provided an expert menu for knowledge management, so the expert can add, change and delete the knowledge. This system uses UML (Unified Modeling Language) modeling.
Prediction of Black Soldier Fly Larva Sales and Production Using Linear Regression Method

The waste problem is a problem that plagues the world. Various programs and methods have been carried out in processing waste. Until now, Bali has become the area with the most waste production in Indonesia, where every day the waste produced reaches 4,281 tons or in other words 1.5 million tons per year. In early 2021, a campaign on the separation of organic and non-organic waste has been initiated in several districts/cities in the province of Bali. The next problem is that people do not know how to process organic waste other than being compost for plants. Black Soldier Fly (BSF) or black soldier fly is an order of diptera whose physical characteristics are similar to wasps. BSF itself has an average life cycle from egg to adult of 45 days. Where the main consumption of BSF itself is organic waste. In Pelaga village, Petang sub-district, Badung district, there is an effort to breed BSF. Where in this effort, it can produce no less than 100 kg of BSF larvae within 15-20 days. The problems encountered by these entrepreneurs are often difficult to predict the amount of BSF larvae production, because around the area there are quite a lot of catfish and chicken farmers who need BSF larvae as feed. The use of linear regression method can overcome these problems. The results obtained between the application of this method include the accuracy value which reaches 62.5% for prediction of sales and 32.5% for prediction of production.
Pendampingan Pengembangan Micro Reading Skills Berbasis Teks bagi Guru dan Siswa SMPN 13 Dumai

This community service activity aimed to increase the knowledge and competence of teachers and students regarding micro reading skills as a basic reading skill and to solve problems related to reading English text activities. This activity was conducted using the mentoring method through presentation, practice, and demonstrations. At the same time, data analysis was carried out qualitatively by directly observing changes in the ability of teachers and students to develop micro-reading skills provided during the mentoring and teaching process. The results obtained from this community service activity were an increase in teacher knowledge and students' abilities in micro reading skills to solve problems reading English texts, especially vocabulary topics, sentence comprehension, cohesive devices, themes, and patterns of thematic development. Teachers' and students' enthusiasm to participate in text-based micro-reading skills assistance made reading comprehension better and more communicative.
Multiparty-controlled remote state preparation of multiple qubit-string information

In this paper, we first propose a remote state preparation (RSP) scheme in the traditional sense, which accomplishes the remote preparation of a single-qubit controlled by multiple agents in the network. This triggers a new RSP scheme, by which we can remotely prepare tensor product-type quantum states controlled by one agent. After that, we generalize the above approach to the RSP scheme of multi-qubit information controlled by multiple agents in the network. In the extended scheme, as long as all agents operate faithfully, the receiver can recover all qubits of information in the original state; otherwise, the scheme fails. Such a scheme entangles quantum information in the preparation process, thus slashing the cost of such quantum resources as auxiliary qubits and local unitary operations, and, meanwhile, reducing the number of classical bits transferred among participants. Finally, we further investigate the remote preparation scheme for multiple qubit-string information under the control of multiple agents in the network.
An Overview of the Development of an IOT-based Weather Reporting System

In this article, suggested an IOT-based weather reporting system.because of the abrupt fluctuations in the weather today, weather forecasting is unpredictable.The project's objective is to identify, capture, and show several weather parameters like temperature, humidity, and air pressure.This system uses wireless sensors to check and keep track of meteorological factors.The outputs are displayed by the system using the blynk app.
Perancangan Sistem Informasi Checklist Kendaraan Menggunakan Metode Rapid Application Development (RAD)

PT.Securindo Packatama Indonesia (Secure Parking) is the largest parking management service provider company in Indonesia located in Central Jakarta, DKI Jakarta. Technological developments are growing rapidly. And computers have had a considerable influence on both manufacturing companies and service companies, companies trade. The development of computer technology provides many advantages, one of the benefits that can be felt is the creation of a website that can help the process of interaction, marketing, or vehicle checklist input to be easier and more efficient. Securindo Packatama Indonesia is still done manually, thus allowing for a lack of efficiency during the process of making a vehicle checklist report. On this occasion the author provides a solution in the form of an example of designing a web-based system for companies in making checklist reports. vehicles and make it easier for employees to make vehicle reports to support operational efficiency. Therefore, by using the observation method, interviews, and library studies in data collection, the RAD method to analyze the running system, and the prototype method in software development, it is designed a web-based vehicle checklist information system. Making vehicle input activities and making vehicle reports more effective and practical because they can be done anywhere and anytime.
Rainfall prediction system with predictors of temperature humidity, wind speed and air temperature using r programming language

Rainfall is a climatic factor that can affect human survival, especially in the agricultural sector. Lubuklinggau City is one of the agricultural areas in the province of South Sumatra. Information about rainfall is needed by farmers in Lubuklinggau City. In determining planting time, generally farmers in the city of Lubuklinggau are only based on observing conditions, without looking at information about climate or rainfall. This is caused by the lack of information about rainfall provided by the government. A prediction system is a system that can process or estimate systematically about something that is most likely to happen in the future based on past and present information that is owned, so that the error (the difference between something that happened and the estimated result) can be minimized. Generally in a prediction system there is a calculation method used. One method that is often used in prediction systems is multiple linear regression. Multiple linear regression analysis was carried out to determine the direction and how much influence the independent variables have on the dependent variable. From the research results, the test values obtained were MSE (Mean Squere Error) = 0.8206, RMSE (Root Mean Squere Error) = 0.9059 and MAPE (Mean Absolute Percentage Error) = 39.886. Based on the calculation results mape value is equal to 39.886.
Analysis of Walking Pattern using LRCN for Early Diagnosis of Dementia in Elderly Patients

Abstract: Analysis of walking pattern using LRCN for early diagnosis of Dementia in elderly patients has emerged as one of the most important study areas in the fields of health and human-machine interaction in recent years. Many artificial intelligencebased models for activity recognition have been developed; however, these algorithms fail to extract spatial and temporal data, resulting in poor real-world long-term HAR performance. Furthermore, in the literature, a restricted number of datasets for physical activity recognition with a smaller number of activities are publicly available. Given these constraints, we create a hybrid model for activity recognition that combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Long-Short Term Memory (LSTM) networks are designed to work with sequence data, while Convolutional Neural Networks (CNN) are helpful for improving understanding of picture information. CNN can be used to extract spatial data at points in a series (video). The LSTM layer is granted authority for temporal sequence modelling with extracted spatial characteristics in situ, whereas the convolution layer is responsible for evaluating spatial features from the frames. 50 activity categories, 25 video groups per activity category, 133 medium videos per activity category, and more make up the UCF50- Action Recognition Dataset. 320 frames per second, 199 frames per video, 240 frames each for each video. Each video is an average of 26 intermediate frames per second. We determine which model performs best by analysing its Loss and Accuracy curves, then we test that model using certain testing films. The drawback of this paper is that most persons performing various duties cannot use our vision.
Survey on Different Morphology Detection Techniques

Abstract: There is a lot of data traffic that translates and transports data in the digital environment of the World Wide Web. The data is presented as files and photos. Data can morph, so it's important to detect these instances. The suggested method will identify modified photographs and alert the user to the validity of the images. In recent years, the research community has paid a great deal of attention to the problem of morph attack detection. To accurately detect morph attacks, various studies have been done in this area and various methods have been used. Although enough morph images are not readily available for research purposes, a variety of face databases are used to create morph image databases. Attack detection via face morphing is difficult. Automated border control gates utilize both manual inspection and automatic categorization methods to identify morphing attacks. It is vital to comprehend how a machine learning system can recognise altered faces and the most pertinent facial regions.