Graphic Images Research Articles

Graphic and Sculptural Images in the Educational Environment of an Architectural Student: Peculiarities of Visualization of Artistic Language

This article dwells on a synthesis of spatial plastic art - communications, performing an informative educational role. The features are revealed and the significance of graphic, plastic and pictorial communications in the educational process of the student-architect and their impact on an architecture were emphasized. The pictorial and expressive capabilities of each species are noted. The drawings are also revealed as a basis of creativity which has various means of expression such as sketches, etudes. A sculpture was considered from the point of view of its plastic qualities and commonality with architectural spatial composition. The points of contact of painting and architecture lie in the plane of color solutions. The role of the academic education, traditional and checked by the time professional school that hasn't lost its significance in the field of the newest visual communications is also highlighted in this article. The visualization tools of our time in various computer and digital analogues further emphasize the importance of traditional visual and plastic arts, which are a figurative concentration of ideas and meanings.

Early identification on failure mode of loess landslide: insight from case study and physical model experiment

IntroductionThe Loess Plateau has long been plagued by cascading loess landslides. The rapid identification of these landslides, along with the accurate determination of their failure modes, is essential for conducting precise disaster assessments in the region. Such assessments are critical for minimizing both human casualties and economic losses. However, the lack of reliable reference data for the early identification of landslide failure modes has resulted in limited detection accuracy, complicating the differentiation between various failure modes. Therefore, investigating the deformation and failure characteristics of loess landslides under different failure modes is crucial for providing a scientific foundation for early hazard detection and the accurate assessment of risk profiles.MethodsThis work examines the pre-slip deformation and post-slip damage characteristics of the rotational-sliding Huzhu Landslide and the translational-sliding Zhongzhai Landslide through a combination of field investigations, unmanned aerial vehicle surveys, and remote sensing interpretation. Physical model tests were conducted to simulate the instability and failure processes of both rotational and translational loess landslides. Meanwhile, three-dimensional models and orthophoto graphic images at various stages of the landslides were generated using Contexcapture.ResultsThe initial stages of rotational sliding landslides are marked by the formation of distinct tensile cracks at the trailing edge of the slope and minor uplift at the front. As the uplift at the front progresses and numerous extension fissures develop, the stability of the landslide reduces progressively. Upon reaching instability, the sliding velocity of the sliding mass initially accelerates before decelerating, with majority of the mass remaining on the sliding surface and retaining relatively well structural integrity. At the trailing edge of the landslide, characteristic features such as falling scarps, fractured walls, and sunken grooves can be observed, while the front displays significant bulging phenomena. In contrast, translational sliding landslides are initially characterized by minor tensile cracks at the trailing edge and pronounced deformation at the front. As these tensile cracks propagate, the landslide are prone to sudden instability under external triggering factors. Following the onset of instability, the sliding mass undergoes rapid movement, with only a small part of the mass remaining on the sliding surface.DiscussionLandslides triggered by different factors and occurring under varying water content conditions may exhibit significant differences in their pre-failure behavior and post-failure characteristics. Thus, it is imperative to conduct further research in this field to better understand these complex dynamics.

Багатопараметрична поляризаційна джонс-матрична репрографія цифрових зображень двопроменезаломлення поліграфічних матеріалів

A model-design of the polycrystalline structure of polyethylene films is proposed. Within the framework of reprography, a method of statistical, correlation and fractal analysis of the distributions of characteristic values of graphic Jones matrix images of birefringent polyethylene films has been developed. The diagnostic efficiency of determining a set of statistical moments of the 1st - 4th orders, which characterize the distributions of characteristic values of the phase Jones matrix image of polyethylene films in the differentiation of their external mechanical and thermal deformations, has been established.

Image enhancement with art design: a visual feature approach with a CNN-transformer fusion model

Graphic design, as a product of the burgeoning new media era, has seen its users’ requirements for images continuously evolve. However, external factors such as light and noise often cause graphic design images to become distorted during acquisition. To enhance the definition of these images, this paper introduces a novel image enhancement model based on visual features. Initially, a histogram equalization (HE) algorithm is applied to enhance the graphic design images. Subsequently, image feature extraction is performed using a dual-flow network comprising convolutional neural network (CNN) and Transformer architectures. The CNN employs a residual dense block (RDB) to embed spatial local structure information with varying receptive fields. An improved attention mechanism module, attention feature fusion (AFF), is then introduced to integrate the image features extracted from the dual-flow network. Finally, through image perception quality guided adversarial learning, the model adjusts the initial enhanced image’s color and recovers more details. Experimental results demonstrate that the proposed algorithm model achieves enhancement effects exceeding 90% on two large image datasets, which represents a 5%–10% improvement over other models. Furthermore, the algorithm exhibits superior performance in terms of peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) image quality evaluation metrics. Our findings indicate that the fusion model significantly enhances image quality, thereby advancing the field of graphic design and showcasing its potential in cultural and creative product design.

Particle Identification in High Energy Collisions at RHIC

This article provides a technical introduction to the study of collider physics by focusing on the concept of particle identification (PID). Through a general overview of the Relativistic Heavy Ion Collider (RHIC) and the Pioneering High Energy Nuclear Interaction Experiment (PHENIX), the author discusses the role of Vanderbilt University researchers in collaborative work at the Brookhaven National Laboratory. After explaining the concept of event reconstruction and centrality with graphical images of experimental results, the author outlines the time-of-flight method of particle identification in high energy physics. A final presentation of the design concept for the Multi-Gap Resistive Plate Chamber (MRPC) integrates the more traditional foundations of theoretical physics with the next generation of physics experimentation in the field.

Eye-movement-prompted large image captioning model

Pretrained large vision-language models have shown outstanding performance on the task of image captioning. However, owing to the insufficient decoding of image features, existing large models sometimes lose important information, such as objects, scenes, and their relationships. In addition, the complex “black-box” nature of these models makes their mechanisms difficult to explain. Research shows that humans learn richer representations than machines do, which inspires us to improve the accuracy and interpretability of large image captioning models by combining human observation patterns. We built a new dataset, called saliency in image captioning (SIC), to explore relationships between human vision and language representation. One thousand images with rich context information were selected as image data of SIC. Each image was annotated with five caption labels and five eye-movement labels. Through analysis of the eye-movement data, we found that humans efficiently captured comprehensive information for image captioning during their observations. Therefore, we propose an eye-movement-prompted large image captioning model, which is embedded with two carefully designed modules: the eye-movement simulation module (EMS) and the eye-movement analyzing module (EMA). EMS combines the human observation pattern to simulate eye-movement features, including the positions and scan paths of eye fixations. EMA is a graph neural network (GNN) based module, which decodes graphical eye-movement data and abstracts image features as a directed graph. More accurate descriptions can be predicted by decoding the generated graph. Extensive experiments were conducted on the MS-COCO and NoCaps datasets to validate our model. The experimental results showed that our network was interpretable, and could achieve superior results compared with state-of-the-art methods, i.e., 84.2% BLEU-4 and 145.1% CIDEr-D on MS-COCO Karpathy test split, indicating its strong potential for use in image captioning.

The psychological impact of disaster on first responders in the aftermath of Bahanaga train tragedy: A mixed methods approach

Background: First responders are at high risk for adverse mental health outcomes following trauma exposure during disaster response. This mixed methods study aimed to quantify psychological impacts and explore personal experiences among first responders after the Bahanaga train accident that killed 294 passengers in the month of June 2023. Methods: For qualitative data, in-depth interviews (IDIs) were conducted, and quantitative data was collected using the PTSD checklist for DSM-5 (PCL-5), generalized anxiety disorder scale (GAD-7), and patient health questionnaire (PHQ-9) for symptoms of post-traumatic stress disorder (PTSD), depression, and anxiety. The study was conducted over one month during July 2023. Results: Among 225 responders, alarming rates of symptoms of probable PTSD (10.2%), anxiety (11.6%), and depression (24.9%) were noted. Those with no prior exposure to disasters and those with no formal training in disaster response scored higher in measures for PTSD. IDIs were conducted with 22 first responders, including various stakeholders. Qualitative analysis identified themes of preoccupation with witnessing trauma, feeling overwhelmed, scary and terrible emotions, avoidance, guilt, hypervigilance, intrusive memories, emotional numbing, unmet needs for mental health support, worsening physical health, re-emergence of past traumas, compounding impact of graphic images in the media, certain positive impact, including increased empathy, resilience and finding purpose, and the beneficial role of peer support. Conclusion: Significant psychological impacts are noted with elevated rates of probable PTSD, anxiety, and depressive symptoms among first responders one month after the Bahanaga train tragedy. These results underscore the vulnerability of first responders to mental health challenges following disaster response in India.

Cardiac Auscultation: A Practical Method for Instruction and Learning

In response to the worldwide deficiency in the use of standard acoustic stethoscopes for the analysis of cardiac disorders, we have developed a cost-free platform for learning and teaching of cardiac auscultation by combining graphic images with actual patient recordings.

Beyond pixels: text-guided deep insights into graphic design image aesthetics

Beyond pixels: text-guided deep insights into graphic design image aesthetics

Пифагорейский аргумент разумного замысла Вселенной и его критика. Статья 5: «Атеизм» современных физиков

One of the objections to the Pythagorean argument is the reference to the authority of modern physicists, most of whom call themselves atheists or agnostics. Even if there had not been any atheists among the founding fathers of physics, something is wrong with the argument of the intelligent design of the Universe, since so many physicists of the last half-century do not believe in God, the critique goes. To answer this sort of objections, we discuss here the views of Richard Feynman, Steven Weinberg, and Stephen Hawking, each of whom called himself an “atheist”. We attempt to show in what sense they indeed were atheists and in what sense they were not. Roger Penrose, the eminent physicist and thinker, called himself “rather agnostic”, but he was convinced of the universe’s purpose, and explained what this conviction was based on: not blind faith but the very special character of the physical laws and the initial conditions of the Big Bang. Penrose illustrated his metaphysical views by means of graphic images, one of which we discuss in a dedicated chapter. Our review of contemporary physicist-philosophers would be very incomplete without the “practicing but unbelieving Christian” Freeman Dyson, with his concept of “the most interesting of all possible worlds”, and so we talk about him too. We also consider Max Tegmark’s mathematical multiverse hypothesis and show that it does not stand up to criticism in light of the cognitive self-consistency of the universe. Is it rational to reject the hypothesis of intelligent design when all other hypotheses about the cause of the highly refi ned nature of physical laws fail? The chapter “Absurdity and Skepticism” is devoted to this question. At the end of this essay and the whole series, we familiarize the reader with the view of the mass man in science and the nature of his “atheism” that was expressed by Jose Ortega y Gasset, supported by Erwin Schrödinger, and commented on by Steven Weinberg.

ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs

Inference using deep neural networks on mobile devices has been an active area of research in recent years. The design of a deep learning inference framework targeted for mobile devices needs to consider various factors, such as the limited computational capacity of the devices, low power budget, varied memory access methods, and I/O bus bandwidth governed by the underlying processor’s architecture. Furthermore, integrating an inference framework with time-sensitive applications — such as games and video-based software to perform tasks like ray tracing denoising and video processing — introduces the need to minimize data movement between processors and increase data locality in the target processor. In this paper, we propose Shader Neural Network (ShaderNN), an OpenGL-based, fast, and power-efficient inference framework designed for mobile devices to address these challenges. Our contributions include the following: (1) the texture-based input/output provides an efficient, zero-copy integration with real-time graphics pipelines or image processing applications, thereby saving expensive data transfers between CPU and GPU, which are unavoidable in most existing inference engines; (2) we are the first to leverage fragment shaders based on the OpenGL backend in neural network inference operators, which has an advantage in deploying parametrically small neural network models; (3) a hybrid implementation of the compute shader and fragment shader is proposed that enables layer-level shader selection to boost performance; and (4) we utilize OpenGL features — such as normalization, interpolation and texture padding — to improve performance. Experiments illustrate the favorable performance of ShaderNN over other popular on-device deep learning frameworks such as TensorFlow-Lite on the latest mobile devices powered by Qualcomm and MediaTek chips. A case study further demonstrates the usability and integration of the ShaderNN framework with a media processing Android application seamlessly. ShaderNN is available open source at Github (https://github.com/inferenceengine/shadernn).

Визуальная интерпретация парадигмы управления организационной системой c разнородными производственными ресурсами

The object of the study is developing a formalized mechanism for managing an organizational system that implements complex production activities, including different types of industrial production, and applies the corresponding heterogeneous resources. The subject of the article is an important intermediate stage of this development, which is an abstract interpretation of the optimal management paradigm of limited resources of such an organizational system, proposed earlier by the authors. The interpretation will allow reasonably forming a strict mathematical model of objects and control processes. The management mechanism in any subject area, providing for adopting management decisions by people authorized to do so, must have an ergonomic development and appropriate information support for these decisions. The so-called result information plays the role of such support, that is the information on the characteristics of the current and planned states of the management object in the problem being solved which is the productivity of the organizational system resources. It seems advisable to carry out such ergonomic and information development of the designed problem-oriented management mechanism in the form of a visual interpretation of its substantive concept. The prototype of such interpretation tools is graphic images used in modelling and designing technical systems, developed in this work in the field of management in organizational systems with heterogeneous resources. The article provides examples of their application, demonstrating the possibility of visual representation of the current state of the organizational system and the set of its possible controlled states.

361. PHOTODYNAMIC THERAPY IN THE TREATMENT OF ESOPHAGEAL MUCOSAL METAPLASIA IN CHILDREN

Abstract Background The urgency of the problem of gastroesophageal reflux disease (GERD) in pediatrics is due to the high prevalence of this pathology in children. The problem of GERD in childhood has become especially important, when a direct correlation between the duration of esophagitis and the development of Barrett's esophagus (BE) and, later, esophageal adenocarcinoma has been revealed. Photodynamic therapy (PDT) is used as one of the elements of complex treatment after antireflux surgeries for direct impact on metaplastic mucosa and restoration of normal esophageal lumen. Due to the increased detection of esophageal malignancies in adult patients, we aimed to investigate this method in the treatment of Barrett's esophagus in children. Methods There were 3 patients diagnosed with esophageal mucosal metaplasia in the thoracic surgery department. Intestinal esophageal metaplasia was detected and histologically confirmed in 1 patient, in 2 patients - gastric metaplasia of cardiac type. All patients were female. The average age of the patients was 15 years. Children underwent multiple sessions of balloon dilatation of esophageal stenosis with temporary positive effect. Taking into account persistent restenosis, presence of metaplasia areas we applied PDT. Intravenous injection of photosensitizer (PS) of chlorine series for 30 minutes was carried out 5 hours before the beginning of PDT. For PDT we used a laser unit with a wavelength of 662 nm, power of 1 W with exposure of 25-30 minutes (at the rate of 300 J/cm2), optical power meter, video gastroscope, spectroanalyzer. Results To achieve the result: complete destruction of metaplasia sites and recanalization of the esophageal lumen, 1 patient with intestinal metaplasia needed 3 sessions, 2 patients with gastric metaplasia of cardiac type - 4 sessions of PDT. In children with gastric metaplasia, an "initiation" method was developed and applied at first PDT session to induce inflammation in the esophageal mucosa. During PDT macroscopic changes of mucosa in the metaplasia area were registered: ischemia, edema and hyperemia, hemorrhagic manifestations, "parchment" mucosa. We were also focused on the amount of PS in tissues according to the graphic images of the spectroanalyzer. During control examinations we noted healing of the metaplasia zone with subsequent regeneration of the epithelium, which was confirmed histologically, and preservation of the normal esophageal lumen. Conclusion Thus, there is a possibility of effective use of photodynamic therapy for esophageal mucosal metaplasia in children and adolescents. Taking into account the minimally invasive technique, comparative cheapness of photosensitizers, equipment for generation of laser radiation, registration of photosensitizer concentration in tissues, it is possible to create the basis for conducting studies in the treatment of this pathology in children. The method of photodynamic therapy in Barrett's esophagus demonstrates high efficiency in its eradication. Increasing the number of observations will allow to make more meaningful conclusions in the future. Eradication of Barrett's esophagus in children meets the requirements of cancer vigilance.

GLOBAL READING - (NON)CONVENTIONAL MODEL OF READING

Reading as a complex process is presented as an important factor for the proper organization of the general activity of the individual, and especially for his intellectual development. As a rather complicated activity, reading includes different psychological, social-ecological, as well as physical viewpoints. This "hitting" of the alphabetic code to determine the words and the construction of meaning from them, in an organized and systematized form, begins to develop in the first developmental cycle. From the phonetic awareness that helps to decode the word, students create a "visual dictionary". This visual image facilitates "seeing" and matching words to create meaning. Similar to the teaching of the spoken language that is presented as a complete form, and not with analysis and synthesis, the graphic representation of the read word is visualized in consciousness as an image, during which the meaning of the word also appears reflexively. Given that 65% of the population are visual learners, today the use of the whole word method is an unpretentious necessity. The whole word method stems from the premise that students living in this century are surrounded by technology and are in constant contact with written material. The basic unit of reading is the word, the graphic image of which is transmitted as a picture, so television announcements, computers, food labels, street advertising, and books are great causes and triggers of early literacy. Internet providers use the universality of symbols to make reading easy for everyone, including children who are in constant contact with this medium. Technology gives them the ability to read without knowing the letters, so they show awareness of the displayed symbols through computer tools. Although the Albanian language has a morphological structure and phonetic spelling, the use of this alternative model of reading is encountered more and more in school practice every day due to the need and many benefits which will be elaborated below in the paper. 50 children aged 6 years with different demographic characteristics were checked. The same approach is the checking of the skill to read words with the whole word and phonological method. The obtained results were processed with the t-test statistical method, results which allowed the findings presented which show a very pronounced difference.

Kyrtos: A methodology for automatic deep analysis of graphic charts with curves in technical documents

Deep Understanding of Technical Documents (DUTD) has become a very attractive field with great potential due to large amounts of accumulated documents and the valuable knowledge contained in them. In addition, the holistic understanding of technical documents depends on the accurate analysis of its particular modalities, such as graphics, tables, diagrams, text, etc. and their associations. In this paper, we introduce the Kyrtos methodology for the automatic recognition and analysis of charts with curves in graphics images of technical documents. The recognition processing part adopts a clustering based approach to recognize middle-points that delimit the line-segments that construct the illustrated curves. The analysis processing part parses the extracted line-segments of curves to capture behavioral features such as direction, trend and etc. These associations assist the conversion of recognized segments’ relations into attributed graphs, for the preservation of the curves’ structural characteristics. The graph relations are also are expressed into natural language (NL) text sentences, enriching the document’s text and facilitating their conversion into Stochastic Petri-net (SPN) graphs, which depict the internal functionality represented in the chart image. Extensive evaluation results demonstrate the accuracy of Kyrtos’ recognition and analysis methods by measuring the structural similarity between input chart curves and the approximations generated by Kyrtos for charts with multiple functions.

Viewer Preferences for Publication of Graphic Images of War

In the first year of the war in Ukraine, several photographs were made that gave editors pause when making decisions about their publication. Photographs depicting bodies or severe injury challenged norms. In these situations, editors typically have drawn on criteria of ethics and their understanding of what they think their audience will accept. But there is little evidence that anyone has consulted readers to determine their levels of comfort with the publication of graphic photographs. A Q-method study of potential viewers (N-31) of photographs of the war in Ukraine found that while they generally believe news organizations have a responsibility to inform the public of the reality of war, they differ in what that means in terms of photographs that should be published. The preferences of about half the participants are similar to those of editors, but about a quarter of the participants would publish much more graphic photographs showing bodies and severe injury. The other quarter fell between those extremes, accepting more graphic photographs if they show respect for those depicted in them.

The effect of an educational video about healthy diet on metabolic control of patients on hemodialysis: an interventional study with a one-year follow-up

BackgroundAdherence to diet is effective for metabolic control in patients on hemodialysis. There are educational pamphlets or booklets to improve patients’ knowledge about healthy diets. As video presentation is more desirable than the presentation of readable materials, we designed an educational video on healthy diets in renal failure patients who was played during several sessions of hemodialysis. We compared the effect of this modality on the knowledge, attitudes and metabolic control of the patients before and after the intervention.MethodsIn this interventional study, all the patients who were referred to the hemodialysis ward at Ashrafi-Esfahani Medical Center (Tehran, Iran) between May 2018 and March 2019 were enrolled (N = 190). Totally, 130 patients had inclusion criteria. An educational video about a healthy diet was shown seven times (once a week in the first month, once every two weeks in the second month, and once in the third month) during hemodialysis for the patients. The nephrologist prepared a video in the form of a lecture with graphic images for 20 min based on the healthy nutrition of the Kidney Federation of Iran’s Guide for hemodialysis patients. The questionnaire was completed in terms of awareness and attitudes, and blood and urine tests were performed at the 1st, 3rd, and 12th months. Serum parameters, including electrolytes, lipid profile, CBC-diff, dialysis efficacy (Kt/V), and the URR (urine filtration rate) were examined. Pre and post intervention values were compared via the statistical analysis performed using IBM SPSS. P-Value < 0.05 was significant.ResultsThe data of 128 people were analyzed at the end of the study. 55% of patients were 10–40 years old and 60% were male. 56% of patients were illiterate or had an elementary school education. The most common underlying diseases were hypertension and diabetes mellitus. Ten to 19% of participants had enough knowledge about the various components of a healthy diet for patients on hemodialysis. Approximately 25%, 14%, and 45% of the participants consumed a healthy diet for breakfast, lunch and dinner, respectively. A comparison of the mean values of the serum parameters before and after the intervention revealed significant changes in phosphorus, blood urea nitrogen, and hemoglobin with mean differences of -118.41 ± 22.84, 21.51 ± 10.38 (both P < 0.001), and 0.29 ± 1.18 (P = 0.044), respectively. The mean Kt/V was similar at all phases.ConclusionThe use of an educational video was effective for normalizing the metabolic parameters in patients under hemodialysis and can be an appropriate option, especially for illiterate patients.Trial registrationIRCT2016082229481N1.

ИНФОРМАЦИЯЛЫК ТЕХНОЛОГИЯЛАРДЫ ОКУТУУДА МАТЕМАТИКАЛЫК МОДЕЛДИН ОРДУ

This paper discusses technologies for using mathematical modeling methods in teaching information technology. A method for selecting the types of problems to be solved using mathematical modeling and decision-making methods is proposed. Mathematical modeling makes it possible to present current information in a more compact, structured form, since mathematical formulas are designed to allow you to write the current problem in a more concise, understandable and memorable form. Another important area that can be used in educational projects is the assessment and calculation of alternative energy sources that are more efficient than the electricity used today. Of great interest is also the study of the dynamics of human reproduction in modern society. When implementing the above projects with the help of a computer, you can find a solution to the problem, create a simulation model and display a graphic image using software such as PowerSim.

Применение компьютерного зрения для определения реперных точек при оценке геометрии лица

The use of computer vision to determine the geometry of a face using reference points is a relatively new approach in medicine. The relevance of this study is due not only to the need to develop new methods and approaches in determining the geometry of the face, but also to the growing interest in the development and application of artificial intelligence in medicine. The research objective. The purpose of this article is to develop mathematical and neural network algorithms that determine the geometry of a face using reference points. Material and methods. To train the neural network, a small sample of 1,000 marked-up photos in the public domain was used, which depict a full-face portrait of a man up to his shoulders. Only adult (18+) representatives of the Caucasian race were considered. The photos were marked up using the LabelImg 1.8.6 graphical image analysis tool, in which the areas of finding (classes of definition) of reference points were manually marked in the graphical interface mode. YOLO 8 was chosen as the neural network architecture. Results. It was shown that the accuracy of the point search by a neural network trained on 1000 grouped photographs reaches 98.15 %, which indicates a good definition of the boundaries of objects and their classification. Conclusion. The conducted research demonstrated the successful development and application of neural network algorithms to determine alternative reference points characterizing the geometry of the face. The results obtained confirm the effectiveness of the technique proposed by the authors in cosmetology, and also indicate its potential for use in other fields of medicine, such as dentistry, neurology and surgery.

Optimization of the book management and automation system in school libraries in Kazakhstan

The significance of the scientific subject lies in addressing the challenges related to the advancement of management systems and the automation of library services in schools across Kazakhstan, particularly within the framework of digitalizing school education and enhancing library and information systems. The article aims to analyze the prospects of modern automated library and information systems and book automation in Kazakhstani schools, exploring existing technologies, and developing methods to enhance management and book automation amidst the digitalization of education. The methodological approach of the study is based on methods of content analysis, synthesis, comparison, generalization of scientific and methodological base of prospects and technologies of development of the system of management and automation of books in Kazakhstan schools, methods of their improvement, graphic – for visual illustration and comparison of the results of research bibliographic databases in graphic images and tabular forms. Identified and evaluated the technological and methodological features of the process of management and automation of the book collection in schools in Kazakhstan through the prism of end result efficiency, the impact of automated library information systems on the practical implementation of management and automation of books in Kazakhstan schools. The analysis delves into the distinctive characteristics of database formation and the utilization of electronic information databases within schools in Kazakhstan, using a concrete example as illustration. Within the realm of scientific inquiry, the primary outcomes encompass the delineation, examination, and underlying principles of automated library and information systems within Kazakhstani educational institutions. Furthermore, the research delineates the technological approaches essential for the implementation of digitalization initiatives concerning the book inventory. The experimental findings and subsequent conclusions drawn by the authors provide valuable insights into avenues for enhancing management systems and automating book processes within schools in Kazakhstan. These insights are crucial for both library personnel and students, as they offer guidance on improving the efficiency and effectiveness of these systems.