Graphics System Research Articles

Differential privacy Kalman filtering for graphical dynamic systems: Performance improvement and privacy calibration

This paper investigates differential privacy Kalman filtering for graphical dynamic systems. An enhanced differential privacy Kalman filter is initially developed by leveraging the topology, a unique characteristic of graphical dynamic systems, to improve the filtering performance. And then upper and lower error bounds of the enhanced filter are established to evaluate the recipient's ability to infer sensitive data. Based on these error bounds, a privacy calibration guideline is provided to balance privacy and usability of sensitive data. A notable feature of the enhanced filter is that its Kalman gain matrix is a diagonal matrix, which facilitates the independent update of information at each node by reducing the coupling between nodes. This feature diminishes the accumulation of filtering errors, thereby improving the data availability for the recipient. Finally, the effectiveness of the proposed approach is verified through a simulation of epidemiological data analysis, and the results show that the enhanced filter performs well in systems with high privacy levels.

Design of Fast Radio Burst Signal Recognition System based on Deep Learning

In order to identify fast radio burst signals from the original observation data of FAST radio telescopes, this paper designs a fast radio burst signal recognition system based on deep learning object detection algorithm. The system uses the incoherent achromatization algorithm and the YOLO series target recognition algorithm to realize the recognition of fast radio burst signals, and provides users with a friendly graphical system interface. In view of the different performance of users' computers, the system has the function of selecting different algorithm models. Experiments have proved that the system achieves 86% recall and 83% accuracy in the FRB20201124A real-world data test set.

A Recognition-Based Graphical Password System for Enhanced User Authentication

Abstract: Password-based authentication is a popular way for ensuring computer application security and privacy. Nonetheless, the "weakest link" in the authentication process is believed to be user-chosen weak passwords and hazardous input techniques. People generally utilize mnemonic or brief passphrases instead of random alphanumeric characters. Because internet and mobile applications are widely available, users can access them from any location, at any time, using any device. While this simplicity is generally appreciated, it also increases the likelihood that credentials will be compromised through Visual Hacking. The assault tactics can include employing external recording equipment or watching the victim personally in order to obtain their login information. In response to this issue, our team created a graphical password-based authentication mechanism to combat the threat of Visual Hacking. The system's security mechanism is three-tiered, featuring password verification as well as colour and pattern matching features. This means that even with numerous camera-based hacking attempts, potential attackers would have a tough time determining or limiting the password. In addition, we created and tested a system prototype to determine its usability. According to our trial results, our system can survive Visual Hacking better than previous authentication systems while maintaining a high level of security and usability.

ОСОБЕННОСТИ ОПЕРАЦИОННОЙ СИСТЕМЫ ASTRA LINUX

The features of the Astra Linux operating system developed by based on the kernel of the Linux operating system as part of the implementation of the state program on the creation and use of free software with a license for free copying and installation for an unlimited number of users, including the structure of the architecture of the Linux operating system, characteristics of its kernel, features of file and graphic systems, as well as office software packages Star Office and K Office. Distributions of the Astra Linux operating system are described, which are used as part of the implementation of the plan for the transition of federal budgetary institutions to the use of free software. The proprietary graphical system (Astra Linux user shell) Fly, which is conceptually a mixture of Windows and KDE graphical environments, is examined in detail. The features of different versions of the «MyOffice» office software package are considered, including a text editor, a spreadsheet processor, a presentation program, a server, and a data storage system and client applications.

Interactive AI Chatbot for Mental Illness

In today's increasingly technological world, mental health awareness is paramount, with the intersection of technology and wellness offering innovative solutions to alleviation of depression symptoms, attrition, and loss of follow-up in mental health treatment. To start a good life healthcare is more important. Mental health problems becoming more common, there's a need for easy-to-access support. Our chatbot uses smart technology to understand what users are feeling, offer kind responses. It's built using advanced computer learning to get better at recognizing and dealing with different mental health concerns. In this application implement natural language processing (NLP) and speech recognition. The application includes a robust authentication system for user security, featuring traditional methods like username/password verification, alongside a graphical password authentication system. Users can select a random image during registration, which is then split into shares for secure storage. The chatbot analyzes user queries to recommend tailored stress-relief strategies, including mindfulness exercises, relaxation techniques, and personalized yoga poses displayed with accompanying images and instructions. The backend manages user data, recommendation algorithms, and integration with external services, while the frontend offers intuitive interfaces for seamless user interaction. Thorough testing ensures functionality, usability, and security before deployment, with continuous improvement based on user feedback and technological advancements driving the project evolution.

Koineización en el occitano de Navarra y Aragón

Abstract The presence of francos settlers in Navarre and Aragon left abundant administrative and legislative documentation in the Occitan language. This presence of settlers of different origins, both lengua d’oc and lengua d’oïl, with also differentiated dialectal modalities, who carried out commercial activities, produced intense linguistic contact between the different dialectal modalities. The paper tries to determine the type of language reflected in the aforementioned administrative and legal documents, which use the graphic system of the scriptae of Navarre and Aragon, conveying the romance varieties. Although the term koine has been used to define this language, the concept of koineization more adequately defines the dynamic process of leveling and blending of dialects, whose formation of a stabilized koine may be one stage. Thus, within the scriptae of Navarre and Aragon in the Occitan language, different linguistic norms and stable as well as diffuse language varieties can be identified.

A Graphical Password Authentication System

Graphical passwords provide a promising alternative to traditional alphanumeric passwords. They are attractive since people usually remember pictures better than words.In this extended abstract, we propose a simple graphical password authentication system. We describe its operation with some examples, and highlight important aspects of the system.

LAMA-WAVELET: IMAGE IMPAINTING WITH HIGH QUALITY OF FINE DETAILS AND OBJECT EDGES

Context. The problem of the image impainting in computer graphic and computer vision systems is considered. The subject of the research is deep learning convolutional neural networks for image inpainting.
 Objective. The objective of the research is to improve the image inpainting performance in computer vision and computer graphics systems by applying wavelet transform in the LaMa-Fourier network architecture.
 Method. The basic LaMa-Fourier network decomposes the image into global and local texture. Then it is proposed to improve the network block, processing the global context of the image, namely, the spectral transform block. To improve the block of spectral transform, instead of Fourier Unit Structure the Simple Wavelet Convolution Block elaborated by the authors is used. In this block, 3D wavelet transform of the image on two levels was initially performed using the Daubechies wavelet db4. The obtained coefficients of 3D wavelet transform are splitted so that each subband represents a separate feature of the image. Convolutional layer, batch normalization and ReLU activation function are sequentially applied to the results of splitting of coefficients on each level of wavelet transform. The obtained subbands of wavelet coefficients are concatenated and the inverse wavelet transform is applied to them, the result of which is the output of the block. Note that the wavelet coefficients at different levels were processed separately. This reduces the computational complexity of calculating the network outputs while preserving the influence of the context of each level on image inpainting. The obtained neural network is named LaMa-Wavelet. The FID, PSNR, SSIM indexes and visual analysis were used to estimate the quality of images inpainted with LaMa-Wavelet network.
 Results. The proposed LaMa-Wavelet network has been implemented in software and researched for solving the problem of image inpainting. The PSNR of images inpainted using the LaMa-Wavelet exceeds the results obtained using the LaMa-Fourier network for narrow and medium masks in average by 4.5%, for large masks in average by 6%. The LaMa-Wavelet applying can enhance SSIM by 2–4% depending on a mask size. But it takes 3 times longer to inpaint one image with LaMa-Wavelet than with LaMa-Fourier network. Analysis of specific images demonstrates that both networks show similar results of inpainting of a homogeneous background. On complex backgrounds with repeating elements the LaMa-Wavelet is often more effective in restoring textures.
 Conclusions. The obtained LaMa-Wavelet network allows to improve the image inpainting with large masks due to applying wavelet transform in the LaMa network architecture. Namely, the quality of reconstruction of image edges and fine details is increased.

Development and verification of a graphical detection system for multi-field interactions in stored grain based on LF-NMR

Stored grain is a complex ecosystem in which intricate multi-field interactions exist among abiotic and biotic factors, as well as the surrounding environment. Clearly understanding these interactions is crucial for ensuring grain storage security. This study developed a graphical detection system based on low-field nuclear magnetic resonance (LF-NMR) technology, which consists of an LF-NMR imaging analyzer, a small grain container, and dedicated software. This system can simultaneously detect the temperature, moisture, and humidity of a grain sample stored in the grain container and visually present the cloud maps of these fields through the dedicated software. To verify the system's performance, two laboratory storage experiments with paddy rice samples were conducted for 15 d. The results indicated that the measured cloud maps could accurately depict the variations in the temperature, moisture, and humidity fields within the stored paddy rice samples during the storage period. The areas with potential risks of fungal growth, grain sprouting, and moisture condensation due to the multi-field interactions could also be identified through the cloud maps, which demonstrated the credible performance of the system. This system could provide a new technical means to uncover the complex coupling relationships within grain storage ecosystems.

PEMANFAATAN SISTEM INFORMASI MULTIMEDIA GUNA MENINGKATKAN PEREKONOMIAN MASYARAKAT

Graphic design is an activity that aims to produce usable and aesthetic work for various types of media including multimedia information systems and the delivery process not only in text form, but also using various other visual forms. The development of graphic design is increasingly significant, this can be seen from the various designs on the market. The presence of a graphic design information system can be used to start community economic activities and ultimately improve the community's economy. However, the use of graphic design among the general public is still low, so this research aims to convey knowledge and benefits of graphic design in general and to improve the community's economy in particular.

An Autoregressive Transformer Model For Crisis Management Using Twitter Tweets

A disaster is a major event that lasts for a long time and causes a lot of damage to people, property, the economy, or the environment. The damage is so bad that the group or society that is affected can't handle it on its own. When a disaster happens, it costs developing countries the most. More than 95% of all deaths from hazards happen in developing countries, and as a share of gross domestic product, losses from natural hazards are 20 times higher in developing countries than in developed nations. To minimize the loss at the time of disaster and to overcome it quickly, a survey is taken on how to manage disaster effectively using Machine Learning and social networks. Social media platforms like Twitter, Instagram and Facebook acts as a communication medium during disaster and also help to take preventive measures before the occurrence of the disaster. Machine learning algorithms also helps in response and recovery phase after the occurrence of the disaster. The paper aims to provides an elaborated review on the concepts of Machine Learning (ML) along with social media and addresses how various other technologies like use of physical sensors, Remote sensors, Graphical Information System (GIS), Internet of Things (IoT) and Neural Network[1]s like Artificial Neural Network (ANN), Deep Neural Network (DNN) can combine with Machine Learning algorithms for the management of disaster efficiently using social media. Finally, based on the study, a generalized autoregressive pre-training method called XLNet is proposed which overcomes the limitations of BERT using its autoregressive formulation and directions for the future research is explained further.

A Scoping Review of Food Systems Governance Frameworks and Models to Develop a Typology for Social Change Movements to Transform Food Systems for People and Planetary Health

Effective governance is essential to transform food systems and achieve the United Nations (UN) Sustainable Development Goals 2030. Different political ideologies and paradigms inhibit or drive social change movements. This study examined how food systems governance has been described. Thereafter, we reviewed graphic frameworks and models to develop a typology for civil society actors to catalyze social change movements to transform food systems for people and the planet. The scoping review involved (1) formulating research questions; (2) developing a search strategy to identify evidence from four English-language electronic databases and reports, 2010–2023; and (3–4) selecting, analyzing, and synthesizing evidence into a narrative review. Results yielded 5715 records, and 36 sources were selected that described and depicted graphic frameworks and models examined for purpose, scale, political ideology, paradigm, discourse, principles, governance, and democracy. Evidence was used to develop a graphic food systems governance typology with distinct political ideologies (i.e., neoliberal, reformist, progressive, radical); paradigms (i.e., maintain, reform, transition, transform); discourses (i.e., food enterprise, food security, food justice, food sovereignty); types of governance (i.e., multistakeholder, shared, self); and democracy (i.e., representative, participatory, deliberative). This proof-of-concept typology could be applied to examine how change agents use advocacy and activism to strengthen governance for sustainable diets, regenerative food systems, and planetary health.

Arabographic texts and the problem of reading

This article explores the development of the Arabographic tradition during the early centuries of Islam. Evidence from pre-Islamic graffiti, poetry, and prose, as well as other sources, suggests the existence of an established writing tradition in western Arabia during this period. Furthermore, the Quran contains indications of the use of written documents. This graphic system enabled writing not only occasional or brief text fragments, but also significant volumes of information. The codification of the Quran marked a pivotal moment in the final transition from an oral to a written cultural tradition. The earliest handwritten fragments of the sacred text, as well as epigraphy, enable tracing the progression from a basic to a more intricate writing system. This comprised distinctive signs for consonant graphemes, vowel indicators, regular utilization of matres lectionis, and so on. The surviving documents also demonstrate a broad range of script variations. Later on, in the 8th century, early medieval Muslim scholars transcribed the poetic heritage and prose of the Jahiliyyah period using this graphic system.

Elderly users’ perceptions of signage systems from tertiary hospitals in Guangzhou

Wayfinding in hospitals today is a significant challenge for urban residents, especially for the elderly. This study investigated the perceptions and attitudes of the elderly toward existing hospital signage systems to identify the wayfinding needs in the healthcare environment. This study collected 762 elderly participants' perceptions and personal preferences regarding 12 features of the existing signage systems in three hospitals in the Yuexiu, Haizhu, and Liwan districts of Guangzhou using a questionnaire methodology. The study further explored the differences in perceptions and preferences for signage based on the gender, age, and educational level of the elderly participants. The findings indicate that most of the elderly participants experienced becoming lost in the hospital; they typically chose to ask others for directions first, followed by using the signage system. Most of the elderly participants had positive attitudes toward the current hospital signage system. Furthermore, they emphasized the importance of the signage system's graphics, texts, colors, and updates, which directly affects the readability and comprehensibility of signs. We found gender differences in perceptions and attitudes toward signage; male participants had more positive attitudes toward the hospital signage systems than female participants. Additionally, consistent with previous findings, the older the age of participants, the less comprehension they had regarding signage graphic symbols. We also found that the more educated elderly participants were, the more understanding of signage they had. At the same time, however, they were less satisfied, which is possibly because the more educated they were, the more aware they were of signage issues.

Forming the competence of physics and mathematics students using information technology

Relevance. The relevance of the study arises as computers in educational institutions have ceased to be a mere subject of study and have become a tool for learning. The main purpose of using computer-based learning technologies is to increase the efficiency of the learning process. This task is also solved by increasing the motivation of students to study technical graphics. Graduates should be able to use graphics systems to create both blueprint and design documentation and to solve three-dimensional graphic modelling tasks. Purpose. The purpose of the study was to identify the features of the formation of professional competence of non-humanitarian specialities through information technology. Methodology. The methodological basis of the study was general theoretical methods, through which it was possible to determine the fact that the use of information and communication technologies in the classroom allows raising the level of information culture, realising the potential of each student, and forming the professional skills of future specialists. Results. This article covered the main methods of using information technology in mathematics and physics classes, the features of the competency-based approach, the advantages of using innovative computer technology, and the types of technologies used. It has been found that the use of information technology in mathematics and physics classes affects: the activation of students' cognitive activity, development of mathematical logic, variability of reasoning, and concentration of students' intellectual activity on research and investigation. Conclusions. The practical significance of the study lies in the fact that its findings and conclusions improve the training in the development of competence of students of physics and mathematics specialities using information technology in educational activities.

Проект письменности для исчезающего бесписьменного алюторского языка

The purpose of the article is to organize the graphic and orthographic patterns found in Alutor language publications, establish fundamental rules for Alutor writing, and provide a theoretical rationale for them. The text examined in the analysis comprised a series of books written in Alutor. The Alutor script was created under the influence of the dominant Russian and Koryak writing systems. A fundamental aspect involves phonemic representation utilizing the Cyrillic alphabet alongside specific national characters and graphical combinations B’, Г’, Ӄ, and Ӈ. Following the syllabic principle, the letters E, Ё, Ю, and Я, as well as hard and soft signs, are utilized. The challenge is how to depict the super-short vowel sound [ǝ] in writing through the use of the letter Ы. The representation of glottal [ʔ] and epiglottal [ʕ] consonants in written form poses challenges as well. Until the start of the 21st century, these consonants were a defining element of monolingual speech. Nonetheless, the impact of Russian language phonetics caused a reduction in glottal and epiglottal consonants. The morphological principle, concerning the duplication of consonants at morpheme boundaries, is significant in the context of the Alutor script. The analysis revealed the unification of the author's variants of the Alutor script by the 1820s of the 19th century. The graphical and orthographic system of the Alutor language was developed without normative guidelines by editors of national texts and linguists.

VEuPathDB Resources: A Platform for Free Online Data Exploration, Integration, and Analysis.

The Eukaryotic Pathogen, Vector and Host Informatics Resources ( VEuPathDB.org ) provide free online access to omic data from eukaryotic protozoan and fungal pathogens, arthropod vectors of disease, and host responses to pathogen infection. The goal of VEuPathDB is to make data easily accessible, findable, and importantly, re-usable by laboratory scientists. All integrated data and analyses follow standard workflows and methods to ensure data accuracy and enable data interoperability. Integrated data include genomes and annotation, transcriptomic (e.g., single-cell/bulk RNA-sequence and microarray data), proteomic (e.g., mass spectrometry evidence and quantitative data), isolate sequencing data used for variant calling and copy number variation determination, epigenomics, whole-genome phenotyping data (e.g., CRISPR screens and large-scale imaging and subcellular localization data), etc. Standard analyses provide additional data such as InterPro domains, signal peptide and transmembrane domain predictions, and metabolic pathways. Comparative genomic analysis in VEuPathDB is facilitated by leveraging orthology to enable the transformation of results between organisms and identifying genes with specific phyletic patterns. In addition, synteny between genomes is facilitated by shading orthologs across species and strains. Accessibility to and re-usability of the data is made possible through specialized searches and a graphical search strategy system that enables scientists to build in silico experiments combining results from multiple experiments with diverse data types.

Optical Sensor-Based Image Texture Characterization for Image Simulation Applications in College Gymnastics Instruction

Abstract Gymnastics learning is characterized by imitation and reference, and a teaching model combining optical sensors and image simulation systems may have promising results in college gymnastics courses. Based on the introduction of the meaning of college gymnastics teaching, the article sorted out the value performance of the image teaching mode and also established an optical three-dimensional imaging system based on optical sensors for gymnastics movement to obtain gymnastic images. In the optical 3D imaging system, the acquisition error of gymnastics images is reduced by using the finite distance image measurement method, and the quality of gymnastics images is enhanced by adaptive bilateral filtering and adaptive threshold selection of the Canny operator by the OTSU method. The enhanced gymnastics images are then inputted into a panoramic graphic imaging simulation system, and a gymnastics image simulation teaching model is established for colleges and universities. The effectiveness of the gymnastics image simulation teaching model is analyzed through a teaching comparison test conducted during simulation verification for optical imaging. In the optical imaging system, when the measurement distance is about 150m, the measurement error range is between [15″and 30″], and the MSE value of the gymnastic enhanced image obtained by the improved Canny algorithm decreases by 46.97% compared with the MSE value before the improvement. The students’ handstand score against the wall improved by 22.63 points compared to before the experiment, and more than 90% of the students were satisfied with the gymnastics image simulation teaching method. The teaching mode is constructed with the optical sensor to obtain the image characteristics of gymnastics movement, and the simulation system is innovative, which effectively promotes students’ interest in learning gymnastics courses and enhances their gymnastics training level.

Survey Paper on Graphical Password Authentication System In Terms of Usability and Security Attribute

Survey Paper on Graphical Password Authentication System In Terms of Usability and Security Attribute

Graphical Password Authentication System In Terms of Usability and Security Attribute

Graphical Password Authentication System In Terms of Usability and Security Attribute