Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence Applications Featuring Ease and Safety Factors at the Two Holy Mosques

To ensure that millions of Muslim visitors from around the world receive high-quality services, leadership, and the latest administrative practices at the Grand Mosque, the Presidency of the Two Holy Mosques is committed to providing the best services, leadership, and administrative practices. In addition, reducing physical effort and enhancing smart technology will improve visitors' daily services to keep up with Vision 2030 and the presidency's strategic plan for 2024. Artificial Intelligence (AI) represents the biggest project applied by the presidency to keep pace with vision, where the presidency provided several applications based on AI to enhance ease and safety factors for pilgrims and worshipers at the Two Holy Mosques. This research, entitled "Artificial intelligence applications featuring ease and safety factors at the Two Holy Mosques" is important in highlighting the aspects of Saudi Arabia's interest in artificial intelligence in the Two Holy Mosques to achieve safety and ease and to achieve global competition in this side. To achieve these aspects, the descriptive and analytical approach was used. I dealt with it through the following demands: presenting some literary reviews and presenting some applications that contribute to safety and ease. And I concluded the most important results: achieving artificial intelligence innovations in the Two Holy Mosques for security and ease and demonstrating aspects of diversity in these applications.
Farmer Trader Web Application

Farmer Trader Application is a web application developed for farmers. It allows farmers to directly connect to their customers without middlemen between them. Farmers can upload photos and information about their crops which can be viewed by the customers, and they can directly contact the farmers to buy these products. Also, if farmers are unable to understand how to use this web application they can contact our customer service. They will also get answers to their questions in the FAQ section. It will help the farmers to easily sell their products and gain profits.
VISUALLY LOSSLESS JPEG 2000 COMPRESSION ON STEREO IMAGES

Most of the television and games software's contain stereoscopic content and now a days people are viewing these types of content more, there is higher chances of availability for the exposure of user level threedimensional.The right and left eye images of a stereo pair are given to the observer's right and left eye.These two images are combined in human brain to obtain perception of three-dimension.In order to view the stereo image properly crosstalk has to be reduced and the uncompressed image must be a lossless by recovering the entire original image.An image is divided into codeblocks and sub-codeblocks.The visibility thresholds are calculated for each codeblocks.These thresholds values represent gray level of both the right eye and left eye images.Then compression ratio is calculated for compressed image.The resulting image is displayed in three-dimensional space and after uncompressing image, compression ratio is calculated to it and compared with obtained compression ratio.The modelled method reduces lossy component in an image.This experimental result is investigated on left eye image.Same procedure is repeated for right image of the eye in a stereo pair.This model is concerned to reduce the lossy component and crosstalk effect in both left eye and right eye image in a stereo pair individually.The resulting image is with reduced lossy component and crosstalk effect when displayed in both two-dimensional and three-dimensional modes.
Analysis Ideational Metafunction In Recount Text At SMAN 1 Panai Hilir Labuhanbatu, Sumatera Utara

This study aims to test the most common ideational metaph function in the composition of the student recount text downstream of SMA Negeri 1. The purpose of this study is to characterize the conditions and dominant processes that arise in the text of the story again. The research design used by the author is a qualitative descriptive technique. Through the preparation of recount text by students, data are analyzed and collected. Ten manuscripts are examined and categorized. Researchers examine recount writing using transitivity analysis as a tool. Data analysis reveals that the material process is the most common type of process in writing recount. It appears 66 times (or 40%) in student writing about account papers. It refers to procedures, actions, physical matters, or both. The results of this study are dominantly present in the recount text is one of the time, which provides information about actions and periods by answering the question "where, when, and how".
Android Based Education Application Design For Tuberculosis Patients In Tasikmalaya City

Tuberculosis (TB) is an infectious disease with a high incidence rate in Indonesia. This disease is a health problem nationally and globally. Disobedience of TB patients in taking medication is an obstacle in healing. PMO (Drug Supervisor) officers have a very important duty to ensure TB patients are disciplined in taking their medication, so they can improve patient’s quality of life. However, majority of patients forget to take medicine frequently and PMO to remind them in taking medicine unconsistently. This means that there is a high probability that good behavior that is carried out after education is not consistent, because patients do not have adequate support systems to comply with treatment and orderly in preventing transmission. The purpose of this study was to design an android-based educational application for TB patients in Tasikmalaya city. Prototype design was used in this research. The results found 4 features in the application design such as education (providing health education through pictures, posters and videos), screening (tracking of families are at high risk of spreading), taking medication (remind and evaluate of taking medication) and consultation (counseling related to disease). Based on the test results, it can be concluded that the SMART-TB application design can able to provide information and convenience for some TB patients in reporting taking medication and health-related consultations.&#x0D; Keywords: Tuberculosis; application design; Android based
The Effect of Gamification and Technology Acceptance Model (TAM) towards Intention to Buy in Online Travel Agent Traveloka

These days, it can be seen that the world’s population keeps on rising. This growth in population has different effect in different sectors, including the tourism sector – especially in the accommodation and transportation sectors. In order to fulfill this demand, travel agent emerge as an organization who helps consumer during their trip. With the emerge of digitalization in every single aspect of lives, these days people prefer to use an Online Travel Agent (OTA) to help them with their trip. The study's objective is to determine if the online travel agency Traveloka's use of gamification and the Technology Acceptance Model influences consumers' desire to make a purchase. SPSS was used for data analysis in this study. Research shows that gamification has a sizeable impact on purchase desire in the online travel agency Traveloka. Evidently, TAM also has a substantial impact on consumers' desire to make a purchase through OTA Traveloka.
CNN with Batch Normalization Adjustment for Offline Hand-written Signature Genuine Verification

Signature genuine verifications of offline hand-written signatures are critical for preventing forgery and fraud. With the growth of protecting personal identity and preventing fraud, the demand for an automatic system for signature verification is high. The signature verification system is then studied by many researchers using various methods, especially deep learning-based methods. Hence, deep learning has a problem. Deep learning requires much training time for the data to obtain the best model accuracy result. Therefore, this paper proposed a CNN Batch Normalization, the CNN architectural adaptation model with a normalization batch number added, to obtain a CNN model optimization with high accuracy and less training time for offline hand-written signature verification. We compare CNN with our proposed model in the experiments. The research method in this study is data collection, pre-processing, and testing using our private signature dataset (collected by capturing signature images using a smartphone), which becomes the difficulties of our study because of the different lighting, media, and pen used to sign. Experiment results show that our model ranks first, with a training accuracy of 88.89%, an accuracy validation of 75.93%, and a testing accuracy of 84.84%â€”also, the result of 2638.63 s for the training time consumed with CPU usage. The model evaluation results show that our model has a smaller EER value; 2.583, with FAR = 0.333 and FRR = 4.833. Although the results of our proposed model are better than basic CNN, it is still low and overfitted. It has to be enhanced by better pre-processing steps using another augmentation method required to improve dataset quality.Â
Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems

Person detection applications based on computer vision techniques often rely on complex Convolutional Neural Networks that require powerful hardware in order achieve good runtime performance.The work of this paper has been developed with the aim of implementing a safety system, based on computer vision algorithms, able to detect people in working environments using an embedded device.Possible applications for such safety systems include remote site monitoring and autonomous mobile robots in warehouses and industrial premises.Similar studies already exist in the literature, but they mostly rely on systems like NVidia Jetson that, with a Cuda enabled GPU, are able to provide satisfactory results.This, however, comes with a significant downside as such devices are usually expensive and require significant power consumption.The current paper instead is going to consider various implementations of computer vision-based person detection on two power-efficient and inexpensive devices, namely Raspberry Pi 3 and 4. In order to do so, some solutions based on off-the-shelf algorithms are first explored by reporting experimental results based on relevant performance metrics.Then, the paper presents a newly-created custom architecture, called eYOLO, that tries to solve some limitations of the previous systems.The experimental evaluation demonstrates the good performance of the proposed approach and suggests ways for further improvement.
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking

Deep Reinforcement Learning (DRL) agents are susceptible to adversarial noise in their observations that can mislead their policies and decrease their performance.However, an adversary may be interested not only in decreasing the reward, but also in modifying specific temporal logic properties of the policy.This paper presents a metric that measures the exact impact of adversarial attacks against such properties.We use this metric to craft optimal adversarial attacks.Furthermore, we introduce a model checking method that allows us to verify the robustness of RL policies against adversarial attacks.Our empirical analysis confirms (1) the quality of our metric to craft adversarial attacks against temporal logic properties, and (2) that we are able to concisely assess a system's robustness against attacks.
Teaching professionally oriented English to aviation university students on the basis of an interdisciplinary project

The article actualizes the problem of organizing and conducting project activities related to the use of professionally oriented English in the aviation university. The importance of motivation in the process of teaching English is emphasized. The purpose of the article is to substantiate the effectiveness of the participation of students of the aviation university in project activities, contributing to their motivation in learning professionally oriented English with practical psychological and pedagogical support and with the involvement of disciplines from specialized departments of the university. Methodology and research methods. The study was conducted on the basis of an interdisciplinary project related to professionally oriented English, allowing students to develop their logical operations (analysis, synthesis, reasoning, generalization, conclusion, etc.), cognitive skills, critical thinking necessary to solve professional problems in a non-standard situations to take responsibility for them. This type of training also stimulates initiative and integrates acquired knowledge in other disciplines. The analysis of pedagogical, socio-psychological, scientific-methodical and special professional literature on the research problem was used as research methods; participant observation method, questioning, modeling, pedagogical experiment, analysis and processing of experimental data and reflection. Such a model of project-based teaching of professionally oriented English with the involvement of disciplines of specialized departments was implemented as part of an experimental scientific study at the aviation university in the discipline “Professionally oriented English”. Conclusion. The results obtained give grounds to conclude that project activities are an effective means of motivation in teaching students professionally oriented English at the aviation university with practical psychological and pedagogical support for this type of activity and with the disciplines of specialized departments.
Continuous Professional Development of Teachers in the Context of a Shift in the Educational Paradigm

The article updates the educational paradigm with a focus on the continuous professional development of Kazakhstani teachers, who should not accompany, but promote educational innovations. The contradiction between the revolutionary changing educational environment and the professional development of the teacher, evolutionary in nature, becomes a barrier to initiative and motivated advancement. This contradiction has a negative impact on the quality of continuous teacher education, when the competencies of continuous professional development remain “overboard” in the training of future teachers and are not instrumental for professional viability. The purpose of the article is to present research materials on the substantiation and development of the content and tools for the implementation of the teacher’s CPD in the conditions of advanced training and professional and pedagogical activities. To determine the individual needs of teachers in professional development, the focus group method was used, through which the following results were achieved: the set of competencies of continuous professional development was clarified, the essence and resources of personalized professional development were determined, design principles for the development of educational programs and post-course support were formulated, recommendations were formulated for creating an environment researched development for self-directed educators. The approbation of the research materials was carried out on the basis of the Institute of Professional Development in the North Kazakhstan region and the North Kazakhstan University. M. Kozybaeva. In conclusion, the status of continuous professional development for the transformation of Kazakhstani education is summarized.
Evaluation of neural models’ linguistic competence: evidence from Russian predicate agreement

This study investigates the linguistic competence of modern language models. Artificial neural networks demonstrate high quality in many natural language processing tasks. However, their implicit grammar knowledge remains unstudied. The ability to judge a sentence as grammatical or ungrammatical is regarded as key property of human’s linguistic competence. We suppose that language models’ grammar knowledge also occurs in their ability to judge the grammaticality of a sentence. In order to test neural networks’ linguistic competence, we probe their acquisition of number predicate agreement in Russian. A dataset consisted of artificially generated grammatical and ungrammatical sentences was created to train the language models. Automatic sentence generation allows us to test the acquisition of particular language phenomenon, to detach from vocabulary and pragmatic differences. We use transfer learning of pre-trained neural networks. The results show that all the considered models demonstrate high accuracy and Matthew's correlation coefficient values which can be attributed to successful acquisition of predicate agreement rules. The classification quality is reduced for sentences with inanimate nouns which show nominative-accusative case syncretism. The complexity of the syntactic structure turns out to be significant for Russian models and a model for Slavic languages, but it does not affect the errors distribution of multilingual models.
The role of virtual excursions of environmental orientation in the mixed form of education of students of natural sciences

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Exploring the application of neural networks for facial image reconstruction in recognition systems

Identifying a person in a digital image using computer vision is a crucial aspect of this field. The presence of external objects, such as medical masks that cover part of the face, can drastically reduce recognition accuracy and increase errors from 5% to 50%, depending on the algorithm. This paper investigates the use of neural networks, in particular the generative adversarial network (GAN), to solve the problem of reconstructing an image of a face covered by a medical mask to improve face recognition accuracy.
Information technology in education and science of Ukrainе

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Use of mobile technologies and learning tools in methodical training of the future mathematics teachers

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Use of high information technologies for substantiation of design options during creation and functioning of water management and melioration objects in the variable modern conditions

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
The Mediating Role of Administrative Applications of Artificial Intelligence on Organizational Innovation and the Quality of Work Life for Person with Disabilities: A Northern Border University Employees Perspective(Saudi Arabia)

Abstract This study aims to find out the impact of administrative applications of artificial intelligence in the relationship between organizational innovation and quality of life for persons with disabilities, and the researchers will provide the researchers with a descriptive analytical approach to achieve this goal. The study meeting consists of employees at the Northern Border University in the Kingdom of Saudi Arabia, and a regular random sample of workers will be used as they have a direct impact with the topics covered by the study in order to find out the role of artificial intelligence on the relationship between organizational innovation and quality of life for people with disabilities, and The questionnaire will be used as a tool to collect information, the most important results of the study were the existence of a statistically significant correlation between the dimensions of artificial intelligence in the relationship between organizational innovation and quality of life for persons with disabilities as a mediating variable, and the most important recommendations were: Prioritize org innovation for effective AI use in admin, Provide training/support for orgs to integrate AI in admin, Invest in AI tech for people with disabilities, Develop guidelines/best practices for AI in admin, Foster collaboration between orgs, tech, disability groups, Establish ethical policies for AI use in admin.
Important aspects of use of innovative processes and distance learning technologies in improving the education and development of youth

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
The role of the university in community development

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
The essence of the technological approach in designing and professionalizing the learning process

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Review Article: Virtual Robots in the Modern World

The paper is dedicated to the review of the role of virtual robots in the modern society. We live in an age where almost all human tasks (activities) can be accomplished with the help of technology. Therefore, the application of such technologies provides an opportunity to maximize the potential when used correctly. The task can be performed both in real life and in virtual space. The article discusses the concept of virtual robots, the scope of their application and the possibilities in the hands of scammers and respectable users. The definition of the main types of classification is given and the "bad" bots and methods of protection against them are listed. The paper gives a short history of robotics development and gives possible ways of how the robots can be used. The authors investigate the issues of the scope of bots in social media, describe good and bad bots, develop the idea of the simplicity and efficiency of the technology of communication with bots.
Browser Game as a New Way of Career Guidance

The article discusses the problem of developing new ways of career guidance for applicants. In the conditions of tough competition in the market of educational services, attracting motivated, capable of learning and interested applicants is one of the main tasks of the functioning of a higher educational institution. Traditional activities, which are currently being implemented by higher educational institutions, are losing their effectiveness in the framework of career guidance. In this regard, it is extremely important to develop new forms of work with applicants. As a result of the work, a web application for the career guidance was designed in the form of a computer game. The strategy of the career guidance game is described, its functional model based on the use case diagram is presented. A method for determining recommendations based on the Hurwitz criterion is proposed.