Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Research and Development of Enterprise Data Warehouse Based on SAP BW Modeling
Abstract: The data warehouse is based on the development of relational databases, parallel processing and distributed processing technologies, as well as online analytical processing technologies. SAP BW is widely used in many enterprise data warehouses. It can issue reports of enterprises at the group level, manage the group's business operations, help find the laws and trends behind the performance of corporations and ultimately provide decision-making support for decision makers of enterprises. Therefore, how to use the SAP BW model architecture to better realize enterprise data warehouses is one of the hot topics in the data warehouse industry today. For a large corporation, its branches and subsidiaries have deployed multiple sets of enterprise data warehouses. At the same time, because there are multiple sets of data warehouse systems, when the data model needs to be modified at the group level, the data model of the branch also needs to be modified accordingly, and the flexibility of maintenance is poor. Finally, every time the corporation needs to upgrade the version of the data warehouse, it needs to maintain and upgrade the version of the data warehouse of each branch and the maintenance cost is high. Therefore, how to integrate multiple sets of data warehouses distributed in various subsidiaries into a corporation enterprise data warehouse by designing the model hierarchy, so as to ensure the reliability of data, enhance the flexibility of model modification and reduce the cost of data warehouse. This paper completes the design of an enterprise data warehouse of a large corporation, which can be used for the summary and collation of data from multiple branches such as finance and sales of a corporation, effectively improving the efficiency of data utilization and ensuring the authenticity of data. At the same time, through hierarchical design, the problems of poor flexibility in model modification and high system maintenance costs are solved.
Keywords: SAP Business warehouse;Enterprise data warehouse;model design;ERP System
Review score: Moderate
Review comment: Figure 1-3 are worth changing, the image quality is poor. Article template not used.
Title: Research and Development of Enterprise Data Warehouse Based on SAP BW Modeling
Abstract: The data warehouse is based on the development of relational databases, parallel processing and distributed processing technologies, as well as online analytical processing technologies. SAP BW is widely used in many enterprise data warehouses. It can issue reports of enterprises at the group level, manage the group's business operations, help find the laws and trends behind the performance of corporations and ultimately provide decision-making support for decision makers of enterprises. Therefore, how to use the SAP BW model architecture to better realize enterprise data warehouses is one of the hot topics in the data warehouse industry today. For a large corporation, its branches and subsidiaries have deployed multiple sets of enterprise data warehouses. At the same time, because there are multiple sets of data warehouse systems, when the data model needs to be modified at the group level, the data model of the branch also needs to be modified accordingly, and the flexibility of maintenance is poor. Finally, every time the corporation needs to upgrade the version of the data warehouse, it needs to maintain and upgrade the version of the data warehouse of each branch and the maintenance cost is high. Therefore, how to integrate multiple sets of data warehouses distributed in various subsidiaries into a corporation enterprise data warehouse by designing the model hierarchy, so as to ensure the reliability of data, enhance the flexibility of model modification and reduce the cost of data warehouse. This paper completes the design of an enterprise data warehouse of a large corporation, which can be used for the summary and collation of data from multiple branches such as finance and sales of a corporation, effectively improving the efficiency of data utilization and ensuring the authenticity of data. At the same time, through hierarchical design, the problems of poor flexibility in model modification and high system maintenance costs are solved.
Keywords: SAP Business warehouse;Enterprise data warehouse;model design;ERP System
Review score: Moderate
Review comment: That`s right
Title: Extractive Question Answering for Kazakh Language
Abstract: This article provides research and development of an extractive question answering system based on the BERT-like model for the Kazakh language. Developing an extractive question answering system requires large training datasets - tens of thousands of annotated question-answer pairs. Such datasets are not available in the majority of languages, including Kazakh. To address this issue, the Kazakh Question Answering Dataset (KazQA) is introduced, which is based on the Stanford Question Answering Dataset (SQuAD) and generated through machine translation using the Google Cloud Translation API. Different large pretrained contextual language models are used as the baseline models - ALBERT and multilingual BERT and are compared with the newly trained monolingual Kazakh model KazBERT. The results demonstrate that the proposed approach can effectively generate question answering systems in low-resourced Kazakh language.
Keywords: natural language processing;question answering;low resource languages;large language models
Review score: Moderate
Review comment: The article is written on a topical subject, well structured. The literature review is not sufficient.
Title: Extractive Question Answering for Kazakh Language
Abstract: This article provides research and development of an extractive question answering system based on the BERT-like model for the Kazakh language. Developing an extractive question answering system requires large training datasets - tens of thousands of annotated question-answer pairs. Such datasets are not available in the majority of languages, including Kazakh. To address this issue, the Kazakh Question Answering Dataset (KazQA) is introduced, which is based on the Stanford Question Answering Dataset (SQuAD) and generated through machine translation using the Google Cloud Translation API. Different large pretrained contextual language models are used as the baseline models - ALBERT and multilingual BERT and are compared with the newly trained monolingual Kazakh model KazBERT. The results demonstrate that the proposed approach can effectively generate question answering systems in low-resourced Kazakh language.
Keywords: natural language processing;question answering;low resource languages;large language models
Review score: Moderate
Review comment: The paper is well written and it can be accepted.
Title: Inspirational Development of Education Establishment. Astana IT University Case
Abstract: The significance and position of fostering development in educational institutions are examined. A conceptual model is presented that focuses on inspiring development within the framework of managing innovative projects, utilizing entrepreneurial energy. The influence of inspiring development in educational institutions on the life cycle of innovative projects, particularly in terms of knowledge and management technologies, is determined. The essential competencies and priorities of educational institutions regarding the implementation of sustainable development strategies are discussed. In the research process, two sustainable development models were selected, which employ innovative projects for the development of educational institutions. The first model establishes three levels of creative competencies: linear, literal, and holistic. Within this model, the qualitative impact of individual competencies on the formation of inspiring management is illustrated through an example. The second model pertains to the application of a knowledge and competency system for managing innovative projects and P2M (Project and Program Management) programs. Within this model, the priority competencies that contribute to inspiring project development are identified. To assess the situation, a model illustrating the influence of inspiring development based on inspiring intuition during the implementation of innovative projects and programs at Astana IT University was constructed.
Keywords: inspiration;development;education establishment;project;success;model;efficiency
Review score: High
Review comment: The presented article contains a well-developed mathematical apparatus, shows a high level of proficiency in modeling techniques, creating new and improving existing models. An analysis of the subject area was carried out, tasks for implementation were identified. Recommendations to authors: it is necessary to revise the design of tables, because they do not fit on 1 page and require design.
Title: Inspirational Development of Education Establishment. Astana IT University Case
Abstract: The significance and position of fostering development in educational institutions are examined. A conceptual model is presented that focuses on inspiring development within the framework of managing innovative projects, utilizing entrepreneurial energy. The influence of inspiring development in educational institutions on the life cycle of innovative projects, particularly in terms of knowledge and management technologies, is determined. The essential competencies and priorities of educational institutions regarding the implementation of sustainable development strategies are discussed. In the research process, two sustainable development models were selected, which employ innovative projects for the development of educational institutions. The first model establishes three levels of creative competencies: linear, literal, and holistic. Within this model, the qualitative impact of individual competencies on the formation of inspiring management is illustrated through an example. The second model pertains to the application of a knowledge and competency system for managing innovative projects and P2M (Project and Program Management) programs. Within this model, the priority competencies that contribute to inspiring project development are identified. To assess the situation, a model illustrating the influence of inspiring development based on inspiring intuition during the implementation of innovative projects and programs at Astana IT University was constructed.
Keywords: inspiration;development;education establishment;project;success;model;efficiency
Review score: Moderate
Review comment: "Inspirational Development of Education Establishment: Astana IT University Case" is a highly commendable paper that significantly contributes to our understanding of the role and importance of inspiring development in educational institutions. The authors' thorough analysis and well-structured presentation of the conceptual models make this paper an essential read for academics, administrators, and policymakers in the field of education. By showcasing the positive impact of inspiring development on Astana IT University, the authors emphasize the transformative potential of these concepts for educational institutions worldwide. The authors' choice of Astana IT University as a case study adds depth and relevance to the paper, showcasing the practical implications of their research. The assessment model of the influence of inspiring development based on inspiring intuition in the implementation of innovative projects and programs offers a valuable perspective on the real-world impact of these concepts in an educational setting.
Title: Development of Middleware for Data-Centric Digital Twin of Additive Manufacturing
Abstract: Additive Manufacturing (AM) is a layer-by-Iayer manufacturing process for different metals/alloys and polymers. Despite the various technological and other opportunities of production, one of the challenges is a Big Data issue in data management of monitoring and controlling the AM manufacturing process. The data-centric Digital Twin (DT) technology should support the AM process. To improve the data performance and accuracy of data-centric DT in AM, the development of middleware was investigated. Middleware is a software system, which its leading role is data management and communication between simulation and physical modules of the DT. This paper introduces the implementation of the middleware in data-centric DT of AM. The aim of the research is to design and develop a data-centric middleware architecture model to enable the creation of DT for AM.
Keywords: Industry 4.0;Additive Manufacturing;3D printing;Digital Twin;Data-centric Digital Twin;Middleware;Real-time process
Title: Complete Description of Adjacent Classes of Boolean Algebras by Basis Equivalence
Abstract: The theory of logical functions is the basis of many intelligent systems based on using different sets of bases. The paper has proposed considering the Boolean functions theory from the view of universal Boolean algebra. The set of bases S can be constructed in a Boolean algebra with a preset signature. The problem is solved for which collections of bases S exist algebras which have those and only those collections of bases. The division of the set of Boolean algebras M into adjacent classes, which are determined by the codes of canonical algebras, is received based on the introduced concept of basis equivalence. Tables are presented where all adjacent classes are described by basis equivalence, and a grating of these classes is constructed. Since grating has 1060 vertexes and 4804 edges, the most exciting fragments are presented.
Keywords: universal boolean algebra;basis equivalence;factor-grating
Review score: Moderate
Review comment: The material of the article has practical and methodological substantiations of the research in the form of pictures and tables.
The article is well structured, written in a clear and understandable language, the conclusions are logical and the literature corresponds to the stated topic.
Title: Complete Description of Adjacent Classes of Boolean Algebras by Basis Equivalence
Abstract: The theory of logical functions is the basis of many intelligent systems based on using different sets of bases. The paper has proposed considering the Boolean functions theory from the view of universal Boolean algebra. The set of bases S can be constructed in a Boolean algebra with a preset signature. The problem is solved for which collections of bases S exist algebras which have those and only those collections of bases. The division of the set of Boolean algebras M into adjacent classes, which are determined by the codes of canonical algebras, is received based on the introduced concept of basis equivalence. Tables are presented where all adjacent classes are described by basis equivalence, and a grating of these classes is constructed. Since grating has 1060 vertexes and 4804 edges, the most exciting fragments are presented.
Keywords: universal boolean algebra;basis equivalence;factor-grating
Review score: Moderate
Review comment: Article on a current topic. But it is necessary to make an adjustment to the title of the article, since the conference is in the direction of intelligent systems and the topic does not correspond to this direction. Also, the authors did not analyze scientific publications in high-ranking publications (Q1-Q3) Scopus or WoS. It is necessary to expand the bibliography of the article.
Title: Analysis of the EMF Parameters of the Stator Winding in the Run-Down Mode for Diagnosing Faults in an Induction Motor
Abstract: In industry, as well as in power plants and substations of developed countries, induction motor (IM) are the most common electrical machine. They consume a large amount of the generated electricity. At the same time, they account for a sufficient number of failures of all electrical equipment. In this case, the proportion of failures due to a break in a squirrel-cage rotor, according to various authors, can reach about 5-10%. However, experimental studies at a number of plants and power plants in the Pavlodar region have shown that the damage factor of the squirrel-cage IM rotor is much higher. As a rule, the breakage of the squirrel-cage rotor rods does not lead to an immediate failure of the IM, but is accompanied by a deterioration in its electromechanical characteristics. Basically, the harm from the operation of such IM is expressed in increased energy consumption. Moreover, a year of its operation leads to an excessive consumption of electricity, comparable to the cost of the IM itself. The article shows that today there are a large number of proposals for a method for diagnosing damage to the short-circuited rotor winding of an induction motor (IM) during operation. However, their sensitivity is limited by the need for detuning from fluctuations in the parameters of the electrical network, vibrations of the IM and the uneven moment of resistance of its load. Most of these effects can be eliminated if IM diagnostics are carried out based on the analysis of the EMF parameters in the stator winding in the rundown mode. The authors have analyzed the parameters of the EMF of the stator winding at all stages of the rundown mode and substantiated the use of the presented method for diagnosing faults in an induction motor.
Keywords: induction motor;rotor bar;failur;diagnostic;EMF;run-down mode
Title: Recycling for Recycling: RoI Cropping by Recycling a Pre-Trained Attention Mechanism for Accurate Classification of Recyclables
Abstract: Automated classification of recyclable waste is necessary to process a huge amount of recyclables for reuse. This research features recycling a pre-trained attention mechanism for cropping region of interest (RoI) for efficient classification of recyclable waste. We report that an attention mechanism pre-trained with the MNIST dataset, followed by simple morphological operations, successfully provides a bounding box for a recyclable object to be fed into object recognition models such as ResNet50 and EffNetB0. This way, we avoid the cost of annotating large datasets to train state-of-the-art object detection models such as YOLO and R-CNN. Experimental results using the Recyclable Solid Waste Dataset (RSWD) show that our attention-based RoI cropping method is effective enough to separate an object for recognition to achieve accurate classification of recyclables.
Keywords: attention mechanism;RoI detection;recycling;system automation;waste classification
Review score: High
Review comment: This paper proposes an attention-based RoI cropping
method to improve the performance of recyclable material
classification. The method provides a bounding box for object cropping.
Title: Recycling for Recycling: RoI Cropping by Recycling a Pre-Trained Attention Mechanism for Accurate Classification of Recyclables
Abstract: Automated classification of recyclable waste is necessary to process a huge amount of recyclables for reuse. This research features recycling a pre-trained attention mechanism for cropping region of interest (RoI) for efficient classification of recyclable waste. We report that an attention mechanism pre-trained with the MNIST dataset, followed by simple morphological operations, successfully provides a bounding box for a recyclable object to be fed into object recognition models such as ResNet50 and EffNetB0. This way, we avoid the cost of annotating large datasets to train state-of-the-art object detection models such as YOLO and R-CNN. Experimental results using the Recyclable Solid Waste Dataset (RSWD) show that our attention-based RoI cropping method is effective enough to separate an object for recognition to achieve accurate classification of recyclables.
Keywords: attention mechanism;RoI detection;recycling;system automation;waste classification
Review score: High
Review comment: The paper titled "Recycling for Recycling: RoI Cropping by Recycling a Pre-trained Attention Mechanism for Accurate Classification of Recyclables" is a promising research that offers a solution to the automated classification of recyclable waste. The authors have presented a technique that recycles a pre-trained attention mechanism to efficiently crop the region of interest (RoI) for accurate and efficient classification of recyclables. The paper's strength lies in its unique approach that avoids the need to annotate large datasets for training state-of-the-art object detection models. The authors have successfully demonstrated the effectiveness of their attention-based RoI cropping method in achieving accurate classification of recyclables using the Recyclable Solid Waste Dataset (RSWD). This research is particularly promising because it offers a cost-effective and time-efficient solution to the problem of automated classification of recyclable waste. Overall, this paper is an excellent contribution to the field of automated waste management and has the potential to improve the recycling industry. Its promising results make it a solid research for practitioners too, and I highly recommend it.
Title: Comparative Analysis of Production Functions of Complex Variables of the Predictive Model of Resource Support for the Process of Heat Generation
Abstract: The article presents methods for calculating the production function based on complex-valued economics. The uniqueness of the work lies in the fact that the production function is presented as a criterion for managing and forecasting heat supply. Data from the boiler plants of the heat supply company in Taldykurgan are used as initial data. As a result of the analysis, it was decided to use the production function of the complex argument, which will increase the number of process indicators and conduct a more complete analysis of the production of thermal energy.
Keywords: heat generation;complex-valued economics;control systems;production functions
Review score: High
Review comment: The authors introduce the advanced modeling approaches and demonstrate their usability for practical problem of managing heat supply. The developed models were applied to represent operation of boiler plants and predict heating demand and have been validated agains the measurements data. An inter-model comparison has been done both in terms of accuracy and considering insights which can be obtained using each of the approaches. The results of the work are novel, practically relevant and fit well into the conference agenda. The work is presented in a clear and consistent way, although the text could additionally benefit from being a bit more structured to facilitate reading.

The paper may be definitely recommended for publication after some minor adjustments:
1) double-check typos in the text and explanations for all the abbreviations;
2)  fix formatting of the title and equations when needed;
3) checking that all the digits in the numeric results are meaningful.
Title: Comparative Analysis of Production Functions of Complex Variables of the Predictive Model of Resource Support for the Process of Heat Generation
Abstract: The article presents methods for calculating the production function based on complex-valued economics. The uniqueness of the work lies in the fact that the production function is presented as a criterion for managing and forecasting heat supply. Data from the boiler plants of the heat supply company in Taldykurgan are used as initial data. As a result of the analysis, it was decided to use the production function of the complex argument, which will increase the number of process indicators and conduct a more complete analysis of the production of thermal energy.
Keywords: heat generation;complex-valued economics;control systems;production functions
Review score: High
Review comment: The article is devoted to an important methods for calculating the production function based on complex-valued economics. It contains a good literature review, a detailed description of the technology and practical implementation.