Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Augmented Reality Application to Support Visualization of Physics Experiments
Abstract: Teaching physics is going through groundbreaking digital transformation. Teaching methodologies are quickly changing because of pandemic situation, which took place two thousand twenty and increased demand for digital practices of teaching physics with augmented reality. In article, I considered teaching methods in mobile application named «Physics Lab Augmented Reality”, designed for using augmented reality based physics laboratory experiments and demonstrations on high school physics lessons. Application demonstrates augmented reality technologies with three dimensional graphics features and special effects. In addition, it shows unseen factors of physical phenomena such as waves and sounds. This application is developed at university with promoting development small forms of lab experiments in physics classes.
Keywords: augmented reality;physics;education;pedagogy
Review score: Moderate
Review comment: The manuscript discusses an educational mobile application called "Physics Lab Augmented Reality" that utilizes augmented reality technology to enhance the teaching and learning of physics. The application can be used for in-classroom teaching, laboratory work, and self-study at home. The authors suggest that the application's versatility makes it useful for other science disciplines, such as chemistry, mathematics, history, biology, and astronomy.

The introduction could be improved by providing more specific examples or statistics to support the claim that students lose interest in school learning due to technology. The introduction also lacks a clear research question or objective. Simplifying the language and providing more background information on the use of augmented reality technology in education can enhance the introduction's clarity, structure, and focus.

The methods section provides a detailed explanation of the technology and tools used to develop the "Physics Lab Augmented Reality" application. Simplifying the language and providing more detailed explanations of the diagrams and images can improve the section's accessibility. Additionally, more detailed information on the development process of the application could be included.

The results section provides a clear summary of the benefits and features of the "Physics Lab Augmented Reality" application. Including more specific examples or statistics, providing more detailed information on the trial application, and discussing the reliability and safety of the application can enhance the section's clarity and coherence.

Overall, the manuscript provides useful information on the use of augmented reality technology in education. Minor revisions such as simplifying the language, providing more detailed information, and including specific examples or statistics can enhance the manuscript's clarity and accessibility.
Title: Augmented Reality Application to Support Visualization of Physics Experiments
Abstract: Teaching physics is going through groundbreaking digital transformation. Teaching methodologies are quickly changing because of pandemic situation, which took place two thousand twenty and increased demand for digital practices of teaching physics with augmented reality. In article, I considered teaching methods in mobile application named «Physics Lab Augmented Reality”, designed for using augmented reality based physics laboratory experiments and demonstrations on high school physics lessons. Application demonstrates augmented reality technologies with three dimensional graphics features and special effects. In addition, it shows unseen factors of physical phenomena such as waves and sounds. This application is developed at university with promoting development small forms of lab experiments in physics classes.
Keywords: augmented reality;physics;education;pedagogy
Review score: High
Review comment: The authors of the article demonstrated good knowledge in the subject area. Great job.
Title: Evaluation of the Comfort of an Apartment Building Using Different Modeling Methods
Abstract: This article investigates the comfortable living of future residents of a high-rise building using various mathematical methods, namely: 1. in recent years of the rapid development of information technologies, the interest of the general public of scientists has been aroused by the problems of intelligent management, and more precisely, the use of fuzzy modeling. Therefore, the use of these fuzzy sets in this work allows to solve and determine the most comfortable factor of living for future customers. But when developing this system, it was determined by experiment that the given indicators are not complete to a large extent, therefore the authors subsequently applied a fuzzy Petri net: a) a general scheme without taking into account the wishes of the future buyer; b) a general scheme taking into account the wishes of the future buyer. To build a fuzzy Petri net, the following indicators of comfort were applied: “neighborhood consideration”, “outside area consideration”, “house consideration”, “price formation”, “value fixation”. The next stage of the work was the systematic description of the network, and the fuzzy network was more clearly expanded with the help of chains, to determine the immediate fulfillment of the subjective wish. Taking into account the fact that each buyer has his own priorities regarding comfort, the authors of this study determined that it is not possible to take into account all possible options, so the decision was made to get acquainted with the evaluation of comfort using a genetic algorithm.
Keywords: fuzzy Petri net;genetic algorithm;comfort of living;crossing over;crossover;fuzzy logic inference;Mamdani algorithm
Review score: Moderate
Review comment: The work is about a Fuzzy Perti net and its use in comfort home evaluation. The work needs to improve the interpretation of the results, and what they explain. The significance of Figure 2 is unclear. The questions rise about Perti net positions as which one of the positions are human preferences. In Figure 3 and 5 the importance of including and excluding buyer preferences are shown.  How do two chains represent that difference? In Figure 5 it is not clear what coloured lines represent. Additional information about  AI is needed.
Title: Evaluation of the Comfort of an Apartment Building Using Different Modeling Methods
Abstract: This article investigates the comfortable living of future residents of a high-rise building using various mathematical methods, namely: 1. in recent years of the rapid development of information technologies, the interest of the general public of scientists has been aroused by the problems of intelligent management, and more precisely, the use of fuzzy modeling. Therefore, the use of these fuzzy sets in this work allows to solve and determine the most comfortable factor of living for future customers. But when developing this system, it was determined by experiment that the given indicators are not complete to a large extent, therefore the authors subsequently applied a fuzzy Petri net: a) a general scheme without taking into account the wishes of the future buyer; b) a general scheme taking into account the wishes of the future buyer. To build a fuzzy Petri net, the following indicators of comfort were applied: “neighborhood consideration”, “outside area consideration”, “house consideration”, “price formation”, “value fixation”. The next stage of the work was the systematic description of the network, and the fuzzy network was more clearly expanded with the help of chains, to determine the immediate fulfillment of the subjective wish. Taking into account the fact that each buyer has his own priorities regarding comfort, the authors of this study determined that it is not possible to take into account all possible options, so the decision was made to get acquainted with the evaluation of comfort using a genetic algorithm.
Keywords: fuzzy Petri net;genetic algorithm;comfort of living;crossing over;crossover;fuzzy logic inference;Mamdani algorithm
Review score: High
Review comment: The paper has good novelty. Presents well structured material. Nevertheless the language has some flaws. The abstract presents the list starting from 1 but do not continue.
Title: Preservation of Confidentiality Based on Homomorphic Encryption Library for IoT
Abstract: The Internet of Things (IoT) is the term used to describe the connectivity of different physical objects, including sensors, appliances, vehicles, and other devices, which are equipped with electronics, software, and sensors to gather and share data. These devices produce a significant volume of confidential information that requires safeguarding against unauthorized access or disclosure. Homomorphic encryption can play a significant role in preserving confidentiality in IoT environments. It enables data to be processed without revealing the underlying data or the results of the computation. This means that sensitive data generated by IoT devices can be encrypted using homomorphic encryption, and computations can be performed on the encrypted data, while maintaining confidentiality. A homomorphic encryption library designed for IoT can allow IoT devices to securely and efficiently perform computations on encrypted data, without exposing the data to any third party or intermediary. This can help prevent data breaches and unauthorized access to sensitive IoT data, which is crucial in many industries, such as healthcare, finance, and transportation. The number of smart devices is growing at an incredible rate, as is the interest of people in these devices. Devices send data wirelessly and are good targets for hackers. To prevent such situations, you must first protect the microcontroller built into the devices. For this purpose, the fully homomorphic encryption library «HomomorphicControllerVersion_01» was developed. The article proposes the architecture of the library of fully homomorphic operations on integers. The library supports basic homomorphic operations (addition, subtraction, multiplication, division) on integers. On the basis of the proposed method of homomorphic division and the architecture of the library, the library of homomorphic operations on integers was implemented. The article also provides measurements of the time required to perform certain operations on encrypted data and analyzes the efficiency of the developed implementation of the library.
Keywords: IoT;library;AtmelAVR microcontroller;security;homomorphic encryption
Review score: Moderate
Review comment: It is necessary to increase the abstract, it is necessary to separate the introduction and literature review, in the conclusion it is recommended to clearly formulate the achieved results with measurable indicators, and also to compare with known solutions.
Title: Preservation of Confidentiality Based on Homomorphic Encryption Library for IoT
Abstract: The Internet of Things (IoT) is the term used to describe the connectivity of different physical objects, including sensors, appliances, vehicles, and other devices, which are equipped with electronics, software, and sensors to gather and share data. These devices produce a significant volume of confidential information that requires safeguarding against unauthorized access or disclosure. Homomorphic encryption can play a significant role in preserving confidentiality in IoT environments. It enables data to be processed without revealing the underlying data or the results of the computation. This means that sensitive data generated by IoT devices can be encrypted using homomorphic encryption, and computations can be performed on the encrypted data, while maintaining confidentiality. A homomorphic encryption library designed for IoT can allow IoT devices to securely and efficiently perform computations on encrypted data, without exposing the data to any third party or intermediary. This can help prevent data breaches and unauthorized access to sensitive IoT data, which is crucial in many industries, such as healthcare, finance, and transportation. The number of smart devices is growing at an incredible rate, as is the interest of people in these devices. Devices send data wirelessly and are good targets for hackers. To prevent such situations, you must first protect the microcontroller built into the devices. For this purpose, the fully homomorphic encryption library «HomomorphicControllerVersion_01» was developed. The article proposes the architecture of the library of fully homomorphic operations on integers. The library supports basic homomorphic operations (addition, subtraction, multiplication, division) on integers. On the basis of the proposed method of homomorphic division and the architecture of the library, the library of homomorphic operations on integers was implemented. The article also provides measurements of the time required to perform certain operations on encrypted data and analyzes the efficiency of the developed implementation of the library.
Keywords: IoT;library;AtmelAVR microcontroller;security;homomorphic encryption
Review score: Moderate
Review comment: In the paper the homomorphic encryption library with fully homomorphic operations on integers is proposed. Proposed library implemented for the specific (AtmelAVR) microcontroller families. Authors claims that "the existing library implementations allow processing only bits or arrays of bits and do not support the division operation. However, to solve applied problems, it is necessary to support the execution of integer operations". To tell the truth, I don't aware of how relevant is this issue for the IoT industry, but the paper is well structured and only needs some English improvements.
Title: People Counting System Using OpenCV Algorithms and Edge Computing for Safety Management
Abstract: The necessity of ensuring people's safety in urban conditions during gathering in a certain indoor or outdoor area, as well as during the operation of technical equipment, requires measurement of their number, weights, the distance between them, density and many other parameters. The collection of those parameters and analysis allows you to ensure the optimal numerical value of people per area and not exceed the critical peak value, ensuring the safety of people's health and life. However, automating those processes requires stable network bandwidth and enormous computing resources for data transferring to the data center and its processing, as well as applying artificial intelligence algorithms to the data and sending the results back to the end-user. In this paper, to avoid the disadvantages of cloud computing, we consider Raspberry Pi with a camera module as an edge device to develop an automated people-counting system based on using OpenCV algorithms and Edge Computing for Safety Management. The proposed system can be used for indoor or outdoor areas, during scaffolding works and lift's operation for controlling an optimal number of people. As a result of the application the edge computing, network bandwidth and computing resources of the data center have been optimized.
Keywords: edge computing;internet of things;crowd estimation;image processing;raspberry pi;network analytics
Review score: Moderate
Review comment: In this thought-provoking and timely paper, the authors address the pressing issue of public safety in urban areas during gatherings, particularly in indoor or outdoor venues and when operating technical equipment. The paper presents a novel approach to managing safety by developing an automated people-counting system that utilizes OpenCV algorithms and Edge Computing, implemented on a Raspberry Pi with a camera module. The paper's introduction effectively sets the stage, highlighting the importance of measuring parameters such as the number of people, their weights, the distance between them, and their density. The authors convincingly argue that the analysis of these parameters is essential for ensuring the optimal number of people per area and maintaining safety. One of the paper's key strengths lies in its methodology. The authors recognize the limitations of cloud computing for this purpose, particularly in terms of network bandwidth and computing resource requirements. Overall, this paper provides a significant contribution to the field of safety management, as it presents a promising and innovative solution for public safety monitoring in various urban settings.
Title: People Counting System Using OpenCV Algorithms and Edge Computing for Safety Management
Abstract: The necessity of ensuring people's safety in urban conditions during gathering in a certain indoor or outdoor area, as well as during the operation of technical equipment, requires measurement of their number, weights, the distance between them, density and many other parameters. The collection of those parameters and analysis allows you to ensure the optimal numerical value of people per area and not exceed the critical peak value, ensuring the safety of people's health and life. However, automating those processes requires stable network bandwidth and enormous computing resources for data transferring to the data center and its processing, as well as applying artificial intelligence algorithms to the data and sending the results back to the end-user. In this paper, to avoid the disadvantages of cloud computing, we consider Raspberry Pi with a camera module as an edge device to develop an automated people-counting system based on using OpenCV algorithms and Edge Computing for Safety Management. The proposed system can be used for indoor or outdoor areas, during scaffolding works and lift's operation for controlling an optimal number of people. As a result of the application the edge computing, network bandwidth and computing resources of the data center have been optimized.
Keywords: edge computing;internet of things;crowd estimation;image processing;raspberry pi;network analytics
Review score: Moderate
Review comment: Methods of research are not clear.
Title: People Counting System Using OpenCV Algorithms and Edge Computing for Safety Management
Abstract: The necessity of ensuring people's safety in urban conditions during gathering in a certain indoor or outdoor area, as well as during the operation of technical equipment, requires measurement of their number, weights, the distance between them, density and many other parameters. The collection of those parameters and analysis allows you to ensure the optimal numerical value of people per area and not exceed the critical peak value, ensuring the safety of people's health and life. However, automating those processes requires stable network bandwidth and enormous computing resources for data transferring to the data center and its processing, as well as applying artificial intelligence algorithms to the data and sending the results back to the end-user. In this paper, to avoid the disadvantages of cloud computing, we consider Raspberry Pi with a camera module as an edge device to develop an automated people-counting system based on using OpenCV algorithms and Edge Computing for Safety Management. The proposed system can be used for indoor or outdoor areas, during scaffolding works and lift's operation for controlling an optimal number of people. As a result of the application the edge computing, network bandwidth and computing resources of the data center have been optimized.
Keywords: edge computing;internet of things;crowd estimation;image processing;raspberry pi;network analytics
Review score: High
Review comment: This article is recommended to publish in IEEE SIST2023
Title: The Future of Artificial Intelligence, Computer Vision, and Machine Learning and its Potential to Shape the Way We Live and Interact with Technology
Abstract: This article explores the future of artificial intelligence (AI), computer vision, and machine learning, and how these technologies may impact our daily lives. These technologies have the power to shape the way we live and interact with technology, opening up new opportunities in areas such as healthcare, transportation and education. However, the future of AI, computer vision and machine learning also raises ethical and social issues. The development of these technologies must be based on ethical principles to ensure that they are used for the betterment of humanity and not for harmful purposes. Overall, this topic highlights the enormous potential of artificial intelligence, computer vision and machine learning and how they can shape our future. As we continue to push the boundaries of technology, it is important to consider the ethical implications and ensure that these technologies are used responsibly for the benefit of all.
Keywords: Computer vision;artificial intelligence;image analysis;deep learning methods
Title: “Digital Professor”: Interactive Learning with Chatbot Technology
Abstract: In today's digital age, the way business is conducted is changing and as a result, it is also affecting the learning process in higher education institutions. Traditional teaching methods are no longer effective for today's students, who are active, sociable, and prefer to communicate mainly through mobile applications. They are able to absorb different information quickly and willingly, but expect technology to be available at all times and do not prefer memorization. To adapt to these students' preferences, one of the main trends in the transformation of the educational process is the use of interactive teaching methods. The authors propose the chatbot technology “Digital Professor” as a solution to improve the educational process in higher education institutions. The Digital Professor can automate many routine tasks for teachers and provide students with convenient and quick access to learning materials and assistance. Overall, the Digital Professor is an excellent tool for improving the educational process for both teachers and students. It can help to make the education process more efficient and effective, and allow teachers to focus on more important tasks while providing students with a convenient and easy-to-use tool for accessing learning materials and getting help when they need it.
Keywords: chatbot;HEIs;educational process;digital transformation;learning management system
Title: Social Network Analysis of Smart Cities Stakeholders' Involvement in Policies Development
Abstract: The introduction of the smart city concept has led to an increased role of the citizen in the planning system, a change in the format of participation and the development of new information links between the city authorities and other participants in developing the city. The paper investigates the parameters of the complication of the role of the citizen by applying SNA methods. The paper demonstrates a system of relationships between stakeholders with an assessment of identified changes in the role of a citizen and the strength of their interaction through documents formalising city policies. Different roles of the citizen are also discussed in terms of network relations. Based on a two-modal matrix of links between official policy papers and participants, the relationships among stakeholders and the strength of their interaction are examined. An increase in centrality or the level of citizen participation in the smart city policies development was discussed in detail.
Keywords: Social Network Analysis;Smart City;stakeholders of smart cities;network analysis