Role Assignment Research Articles

RoadSitu: Leveraging Road Video Frame Extraction and Three-Stage Transformers for Situation Recognition

Situation recognition is an crucial problem in scene understanding, activity understanding, and action reasoning as it provides a structured representation of the main activity depicted in the image.Semantic role labeling is crucial to situation recognition, which is challenging because a single action can have multiple meanings and purposes depending on its context. Understanding images beyond the highlighted actions requires inferences about the context of the scene, the objects, and their role in the captured event. Recently, situation recognition (SR) has been introduced, which jointly derives a collection of the action (activity), meaning-role, and noun (entities) pairs in the form of moving images. To label these frames as action frames, we must assign nouns (entities) to the role based on the content of the observed image. One of the main challenges is managing the complex dependencies between the assigned roles (nouns) and the predicted action, as the correct role assignment often depends on the accuracy of the action prediction. We introduce, RoadSitu, a road situation recognition that involves generating a structured summary of what is happening in a road scenario using an action and the semantic roles played by agents from a video frame. The action can describe a diverse set of situations, and the same agent can play various roles depending on the situation depicted in the video frame. Therefore, a situation recognition model needs to understand the context of each video frame and the visual-linguistic meaning of the semantic roles of that particular frame. One of the main challenges in this work is the complex task of annotating video frames with semantic roles and handling the structured dependencies between the assigned roles (nouns) and the predicted action (activity). Additionally, the sparsity of meaningful semantic information within road scenarios poses further difficulties. To overcome these challenges, we introduce a novel approach where action recognition and noun estimation work together interactively to form structured summaries of each situation. In experiments using a road video dataset obtained from a South Korean company, RoadSitu achieved significant improvements across various performance metrics, with a Top-1 verb accuracy of 43.46%, Top-5 verb accuracy of 72.48%, and value accuracy of 34.21%, outperforming baseline models such as GSRTR and JSL by 2.4% and 3.86% in Top-1 verb accuracy, respectively. These results demonstrate the effectiveness of our model in handling complex road scenarios.

Influence of robot anthropomorphism on consumer attitudes toward restaurants and service providers

We conducted this study to investigate the influence of robot anthropomorphism on consumers’ attitudes toward restaurants and service providers, focusing on the moderating effects of robot social roles and consumer autonomy. The results of Study 1 revealed that anthropomorphic robots fostered more positive attitudes toward restaurants and service robots than non-anthropomorphic robots when consumers viewed restaurant advertisements. The results of Study 2 revealed that consumers also exhibited more positive attitudes toward anthropomorphic robots compared to non-anthropomorphic robots when picturing restaurant dining experiences. Furthermore, when non-anthropomorphic robots were assigned partner roles and consumers were given the option to choose their servers, attitudes toward these robots improved. Collectively, these findings suggest that anthropomorphism in robots can lead to more positive attitudes, and the acceptance of non-anthropomorphic robots can be enhanced through greater consumer autonomy and the assignment of partner roles. These results provide insight into AI service marketing strategies.

Sentence comprehension in Malay-speaking adults with aphasia: the role of affix integration

ABSTRACT Background One of the impairments in comprehension mostly reported for aphasia is that in reversible passive sentences, where a systematic asymmetry with reversible active sentences has been attested across languages. In several accounts, this selective impairment has been proposed to be the result of the specific syntax of passive sentences. However, some results particularly from flexible word order languages suggest that a pattern where both active and passive sentences are impaired also exists. Aims In this study, we examined the actives and passives in the comprehension of a flexible word order language, namely standard Malay, in people with aphasia (PWA), aiming to confirm that the predominant pattern in this language is one of generalised impairment across reversible sentences (active and passive), and not an asymmetrical one. The role of fluency in determining the pattern of impairment was also explored. Methods & procedures Fourteen healthy adults and 20 PWA, 14 with fluent aphasia and 6 with non-fluent aphasia, took part in a comprehension study in standard Malay. Standard Malay is a flexible word order language that relies on the parsing of the voice affix on the verb to correctly interpret both active and passive sentences. Participants were tested on a sentence-picture matching task on comprehension of active and passive reversible clauses. Outcomes and results The study revealed that PWA were overall less accurate than healthy speakers in comprehension of reversible active and passive sentences, and non-fluent PWA were less accurate than fluent PWA with no effect of sentence type (active/passive). While not predominant, an asymmetric pattern was present in some participants. We propose that an impairment in thematic role assignment leads to a generalised impairment in comprehension of reversible sentences, while preserved thematic role mapping and impaired syntax lead to an asymmetric impairment. Conclusions The study confirmed that speakers of Malay mostly show a generalised impairment in both active and passive sentences. Given the nature of the language, we propose that this suggests that impairment in Malay is predominantly shown on affix integration, first in mapping of thematic roles, and then in the full syntactic processing.

Fostering Readiness of Future Doctors and Nurses for Teamwork

Background. “Teamwork and leadership” is a core universal competency established by the Federal State Educational Standards of the Russian Federation. All students in any higher education program (specialist’s, bachelor's, master's, and other degrees) should acquire this competency before graduation since teamwork is a leading way to carry out joint activities. Therefore, it is crucial to study the development of teamwork skills among yesterday's students and future specialists with higher medical education. Materials and methods. The authors analyzed the models of team development and the indicators of acquiring teamwork and leadership skills among future nurses and doctors. As a result, six components of effective team development in a medical organization were identified: support from leaders, team synergy, mutual understanding and confidence in team members, mutual assistance and support, consensus in goals and intentions, delineation of responsibilities, and assignment of roles. These components laid the foundation for the team development model in a medical organization. Findings. The empirical study involved future doctors and nurses as well as practicing medical staff (n = 472). It was found that the processes for fostering the readiness of future doctors and nurses for teamwork were generally at a satisfactory level. Meanwhile, 56.9% of future doctors and almost half of future nurses could not unequivocally answer the question about classes for developing teamwork skills. Respondents are likely to acquire teamwork skills both in and out of the classroom. Discussion. The questions “Where and when should students acquire teamwork skills?” and “Whether educational programs should include special classes dedicated to developing teamwork skills?” require additional studies.

Improving AOD participation and interaction: The combined effects of role assignment and time-frame design

Asynchronous online discussion (AOD) is a tool used to supplement and extend synchronous classroom interaction. It still faces problems, however, such as difficulty maintaining participation, information overload caused by a large amount of textual information, and difficulty managing discussion quality. Designing effective strategies to support AOD quality is imperative, and research has shown that the design of role strategies and time-frames can maintain AOD order and quality, stimulate participation and interaction, and promote deep thinking and responses. Although the implementation of these two strategies in AOD has been widely studied, there is still little research on their combined use. This study therefore combined role strategies with time-frames, designed role strategies under multiple time-frames, and conducted a two-week asynchronous online role-based discussion with 117 third-year undergraduate students in two classes to explore the effectiveness of adopting this strategy in AOD. The results showed that setting multiple time-frames in AOD and clearly assigning roles and responsibilities within the different time-frames can effectively improve students’ participation and interaction in discussions and their learning satisfaction, which leads to certain benefits for learning results. Based on the results, three practical implications are proposed to promote the implementation of AOD in teaching.

E-CARGO-based dynamic weight offload strategy with resource contention mitigation for edge networks

With the widespread use of Mobile Edge Computing (MEC) in smart manufacturing systems in Industrial Internet of Things (IIoT) and 5G networks, determining how to efficiently offload computing tasks has become a hot research area. The Role-Based Collaboration (RBC) Environments-Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is introduced to comprehensively manage MEC servers and user computation tasks in edge network environments, thereby improving the effectiveness and performance of task offloading in smart manufacturing systems. To begin with, latency and energy consumption are important indicators for evaluating the offloading effect. A pre-allocation algorithm based on user latency tolerance is proposed to dynamically adjust the latency-energy consumption weighting factor to optimize system resource allocation for real-time adjustment of offloading decisions. Second, the Group Role Assignment of Agent Role Conflicts (GRACAR) model based on E-CARGO is extended, along with a dynamic weighting of the GRACAR (GRACAR-DW) model and formal modeling. By introducing resource contention constraints, the resource contention caused by excessive task data offloading to the same MEC server is proactively mitigated. Finally, a Gurobi solution based on Mixed-Integer Linear Programming (MILP) is developed to help validate and synthesize the proposed model. Simulation results show that the strategy considerably enhances the MEC system's overall performance in terms of latency and energy consumption while also providing new ideas and technological support for offloading decisions in edge networks.

Моделі самоорганізації колективу однорідних безпілотних літальних апаратів при рішенні слабоформалізованих завдань

The development and modernization of unmanned aerial vehicles (UAVs), their control systems, safety and regulation, expansion of functionality, miniaturization and increase of sensor performance, improvement of energy capabilities and routing process, increase of autonomy, contributes to the improvement of the performance of tasks. In order to obtain the best performance, customize the process of UAV team self-organization, and reduce risks for operators, the article proposes to consider the proposed method of rules for self-organization of a team of homogeneous UAVs in solving poorly formalized tasks. The basis for writing a scientific paper is the tendency to constantly increase the relevance of UAVs due to their efficiency and feasibility, as well as the constant development of artificial intelligence and information technology. By thoroughly studying, researching and implementing these areas into UAV team management systems, a number of problems related to the construction of UAV teams using existing methods and models are solved. Such as: the vulnerability of the built UAV team, the inability to continue the task due to the destruction or loss of communication with the main UAV or operator (control point), economic inexpediency, reduction of the cognitive load on operators, and others. It should also be noted that in the realities of war, it is necessary to get ahead of the enemy’s scientific research and create an advantage over him in the field of robotic technologies. A model of rules for the self-organization of a team of homogeneous UAVs in solving poorly formalized tasks is proposed, in which a number of functions (route planning, role distribution, determination of optimal actions, obtaining and processing information) assigned to the onboard system of a robotic air complex can be performed by each element of the UAV team system through their self-organization. The practicality of this method lies in the fact that the artificial intelligence of the UAV will constantly self-learn and improve through the use of machine and deep learning. Thus, the results and time required to complete missions will improve significantly, and the number of control operators will decrease. A number of problems and shortcomings related to the organization of the control system, route planning, role assignment, speed and completeness of information receipt, processing and transmission are being addressed, which in turn improves the security and performance of the system.

The African Human Rights Perspectives Through the Lense of Oral Narratives

Human rights existed in African tradition for societal order and for community responsibility of success and failures. People enjoyed freedom and preserved freedom according to community beliefs and customs. Advocacy was expressed through singing, drama, storytelling and assignment of roles based on age gender and ability. This paper unfolds human rights advocacy oral narratives. Hausa dated as far as BC 14th or 15th Century Arabic writing with the first poets Ibn al- Sabbagh and Muhammadual- Barnawi, other writers of the time were Abdullahi Sikka and Shekh Jibril ibn Umar. The first novels written in Hausa were the result of a competition launched in 1933 by the Translation Bureau in northern Nigeria. One year later the bureau published Muhammadu Bello’s Gandoki, in which its hero, Gandoki, struggles against the British colonial regime. Bello does in Gandoki what many writers were doing in other parts of Africa during this period: he experiments with form and content. His novel blends the Hausa oral tradition and the novel, resulting in a story patterned on the heroic cycle; it also introduces a strong thread of Islamic history. Didactic elements, however, were awkwardly interposed and severely dilute Gandoki’s aesthetic content (as often happened in other similarly experimental African novels). But Bello’s efforts would eventually give rise to a more sophisticated tradition of novel writing in Hausa. His experimentation found its most successful expression in Amos Tutola’s English-language novel The Palm-Wine Drunkard (1952). The Oral narratives understudy Include: Falsehood is More Profitable than Truth (translated from Hausa) One cannot Help an Unlucky Man (translated from Hausa) Wacici and her Friends (translated from Kikuyu). The selected oral narratives experiences displayed injustice of belief in telling lies and trickery, jealousy against the natural beauty and the bad lack aspect due to ignorance and inability to make right judgment for personal benefit. The study was aimed at unfolding antisocial behaviour that existed in in Africa as portrayed in the selected oral narratives. The expression of reaction and action taken to bring social order were represented in the Hausa selected narratives. The study used qualitative method and textual analysis to arrive at the injustice and measures used to condemn injustice as a means to preserve social order

Improving role allocation for cardiopulmonary resuscitation (CPR) in the emergency department: a quality improvement project

IntroductionIn any healthcare setting, cardiopulmonary resuscitations (CPRs) stand out as demanding and chaotic resuscitation endeavours. Emergency departments (EDs) witness a significant volume of CPRs. Given the critical nature of CPR,...

The Neurofunctional Correlates of Morphosyntactic and Thematic Impairments in Aphasia: A Systematic Review and Meta-analysis.

Lesion-symptom studies in persons with aphasia showed that left temporoparietal damage, but surprisingly not prefrontal damage, correlates with impaired ability to process thematic roles in the comprehension of semantically reversible sentences (The child is hugged by the mother). This result has led to challenge the time-honored view that left prefrontal regions are critical for sentence comprehension. However, most studies focused on thematic role assignment and failed to consider morphosyntactic processes that are also critical for sentence processing. We reviewed and meta-analyzed lesion-symptom studies on the neurofunctional correlates of thematic role assignment and morphosyntactic processing in comprehension and production in persons with aphasia. Following the PRISMA checklist, we selected 43 papers for the review and 27 for the meta-analysis, identifying a set of potential bias risks. Both the review and the meta-analysis confirmed the correlation between thematic role processing and temporoparietal regions but also clearly showed the involvement of prefrontal regions in sentence processing. Exploratory meta-analyses suggested that both thematic role and morphosyntactic processing correlate with left prefrontal and temporoparietal regions, that morphosyntactic processing correlates with prefrontal structures more than with temporoparietal regions, and that thematic role assignment displays the opposite trend. We discuss current limitations in the literature and propose a set of recommendations for clarifying unresolved issues.

Sultana’s Dream: Religion as an Apparatus in Gender Role Assignment

Sultana’s Dream, written by Begum Rokeya Sakhawat Hossain in 1905, is a utopian novella that challenges established gender norms in a manner that effectively undermines the process of conventional gender stereotyping. Hossain’s narrative unfolds in Ladyland, a society where women assume responsibility for various aspects of life, while men are confined to purdah, secluded quarters designated for their isolation. The story, despite its brevity, explores the re-establishment of a matriarchal government, the peaceful stabilization of society, the widespread use of technology without male involvement, the celebration of intellect over physical strength, and the subversion of traditional gender roles. Although the story occasionally favours women over men, its purpose, as is proper to the function of utopianism, is to inspire readers by demonstrating the possibility of a better future. This article, therefore, aims to explore the role of religion as an apparatus of the inherent Indian culture in oppressing and isolating women, with reference to Hossain’s seminal work, Sultana’s Dream.

Continuous charging assignment algorithm for heterogeneous robot clusters based on E-CARGO

Forming robot clusters is a common means to improve work efficiency and ensure personnel safety in intelligent logistics warehousing. However, designing a reasonable charging sequence and time for each robot in the cluster poses a major challenge for management personnel. In actual scenarios, the working and charging processes of the robots must be considered simultaneously. This study also considers multiple constraints on robot battery levels and available workstations under different parameters to ensure each team operates normally at any given time. Additionally, to enhance cooperation efficiency and alleviate the workload of management personnel, the problem is transformed from conventional one-time assignments to adaptive continuous assignments within fixed time periods. Accordingly, the ACP-GRAC problem is proposed. Firstly, a group role assignment model with conflicts is introduced to resolve assignment conflicts caused by mismatches between job skills and position requirements. Then, energy information is shared among robots during the charging process, adding adaptive cooperation concepts to address continuous charging issues. Finally, the E-CARGO model is utilized to formalize the ACP-GRAC problem, and the HCCA algorithm is designed for its solution. Furthermore, a classification backtracking strategy is proposed to simultaneously address the constraint of continuous operation at any given time and the problem of constraint violations caused by the HCCA algorithm’s pursuit of maximum team performance. Moreover, since the classification backtracking strategy can compute the theoretical minimum remaining energy of the robot before departing for charging, it further optimizes the overall work efficiency. Additionally, this study addresses the issue of low cluster work efficiency due to the unreasonable initial planning sequence of the algorithm. In the experimental section, comparisons are made with recent excellent heuristic algorithms and deep reinforcement learning algorithms. Experimental results demonstrate that B-HCCA exhibits significant advantages in both solution efficiency and solution quality when addressing adaptive cooperation problems with group role assignment conflicts.

A novel differentiated coverage-based lifetime metric for wireless sensor networks

This paper delves into optimizing network lifetime (NL) subject to connected-coverage requirement, a pivotal issue for realistic wireless sensor network (WSN) design. A key challenge in designing WSNs consisting of energy-limited sensors is maximizing NL, the time a network remains functional by providing the desired service quality. To this end, we introduce a novel NL metric addressing target-specific coverage requirements that remedies the shortcomings imposed by conventional definitions like first node die (FND) and last node die (LND). In this context, while we want targets to be sensed by multiple sensors for a portion of the network lifetime, we let the periods, during which cells are monitored by at least one sensor, vary. We also allow the ratios of multiple and single tracking times to differ depending on the target and incorporate target-based prioritization in coverage. Moreover, we address role assignment to sensors and propose a selective target-sensor assignment strategy. As such, we aim to reduce redundant data transmissions and hence overall energy consumption in WSNs. We first propose a unique 0-1 mixed integer programming (MIP) model, to analyze the impact of our proposal on optimal WSN performance, precisely. Next, we present comprehensive comparative studies of WSN performance for alternative NL metrics regarding different coverage requirements and priorities across a wide range of parameters. Our test results reveal that by utilizing our novel NL metric total coverage time can be improved significantly, while facilitating more reliable sensing of the target region.

How are Mozart’s Operas Indebted to Enlightenment Ideals?

This paper undertakes a rigorous examination of the Enlightenment ideals embodied within Mozart's operas and their subsequent influence. Mozart's musical compositions were profoundly shaped by the Enlightenment era, reflecting the aspirations of freedom, democracy, and equality. The article points out that Mozart incorporated cultural elements and enlightenment ideas from different countries into his opera creation, especially his work Don Giovanni was deeply influenced by cultural traditions, combining musical tragedy with comedic characteristics. The article also mentions that Mozart embodies the idea of equality in the Enlightenment through the assignment of roles in the opera, and each character has the opportunity to have direct contact with Don · Giovanni, showing the directness and equality of the characters. In addition, the article discusses how Mozart spread the ideas of the Enlightenment through his opera, and how his operas reflected the spirit of freedom, reason, and openness. "Don Giovanni" can become his masterpiece, through careful character shaping and musical stage design, it conveys the core values of the Enlightenment, has a profound impact on the society at that time, and has become a classic in the history of music.

NH3/NH4 + allosterically activates SLC4A11 by causing an acidic shift in the intracellular pK that governs H+(OH-) conductance.

SLC4A11 is the most abundant membrane transport protein in corneal endothelial cells. Its functional presence is necessary to support the endothelial fluid pump that draws fluid from the corneal stroma, preventing corneal edema. Several molecular actions have been proposed for SLC4A11 including H2O transport and cell adhesion. One of the most reproduced actions that SLC4A11 mediates is a H+ (or OH-) conductance that is enhanced in the presence of NH4Cl. The mechanism by which this occurs is controversial with some providing evidence in favor of NH3-H+ cotransport and others providing evidence for uncoupled H+ transport that is indirectly stimulated by the effects of NH4Cl upon intracellular pH and membrane potential. In the present study we provide new evidence and revisit previous studies, to support a model in which NH4Cl causes direct allosteric activation of SLC4A11 by means of an acidic shift in the intracellular pK (pKi) that governs the relationship between intracellular pH (pHi) and SLC4A11 H+-conductance. These findings have important implications for the assignment of a physiological role for SLC4A11.

Linguistic encoding of women’s agency in the German political discourse on abortion: A diachronic Critical Discourse Analysis

This research, rooted in the Critical Discourse Analysis framework, employs a mixed-methods approach to examine debates on abortion legislation in the German Bundestag. Focusing on the attribution of agency to women through semantic role assignment in the context of abortion procedures, the study utilises both qualitative analysis and quantitative data analysis techniques. Five debates spanning the 1970s, 1990s and 2010s were examined using the qualitative analysis tool MAXQDA. Results consistently indicate that arguments referring to women are predominantly assigned semantic roles associated with passivity and relatively low agency. This pattern persists regardless of the ideological stance, transcending divides between pro-life and pro-choice advocates. This perpetuates and reinforces the societal perception of women as passive, upholding a traditional gender stereotype within the discourse. A larger number of arguments referring to women were found in the pro-choice data compared to the pro-life data, indicating a greater emphasis on women within the argumentation of pro-choice speakers. The study underscores the enduring impact of language on shaping perceptions of women’s agency in the context of abortion legislation debates.

Russian Children and Their Relatives: What Can a Free Word Order Language Reveal About the Subject/Object Asymmetry?

ABSTRACT The present study revisits the well-attested phenomenon of Subject/Object Asymmetry in relative clause comprehension by monolingual Russian pre-school children. Additionally, it examines the NP-V and the V-NP word order types when the embedded NP precedes or follows the verb. Both the word orders are grammatical for Russian subject and object relative clauses alike. Object relative clause comprehension difficulty was evidenced across all the age groups. Word order alternation (V-NP vs NP-V) did not significantly affect the accuracy rates. Besides the efficacy of the agent-first strategy, growing morphological knowledge compels children to update their ongoing structural analysis, which results in embedded NP errors. Yet, even at 6 years of age, children do not display word order preferences to go with a particular relative clause type that are found in Russian-speaking adults. Restricted exposure to written texts at pre-school age as well as low validity of word order as a cue to thematic role assignment are discussed as possible reasons for children’s insensitivity to word order manipulation in Russian relative clauses.

The Effect of Priority Assignment the Role of Evaluator and Executive in Collaborative Training on the Acquisition of Kinematic and Accuracy of Dart Throwing Skill

Background: Collaborative training can enhance individual learning, but the effect of role assignment on skill acquisition is unclear. Objectives: Therefore, this study aims to explore the influence of the evaluator and executor roles on the accuracy and kinematic indicators of dart throwing skill. Methods: Forty-eight female university students (mean age = 21.71 ± 1.14 years) participated in the study. Following dart throwing familiarization, participants were randomly assigned to individual group (IG), first-performer (FPG), and first-evaluator groups (FEG) (as a dyad condition) with alternating role orders. All groups completed a pre-test of 10 dart throws while kinematics was recorded via video camera. Practice consisted of 20 blocks of 6 trials (n = 120 physical trials for IG; n = 60 evaluation and n = 60 physical trials for FPG and FEG). Post-tests 1 and 2 directly followed after role reversals for dyads after each 60 trials in the acquisition phase. Accuracy was assessed via mean radial and variable errors. Kinematics (elbow release angle, average angular velocity, elbow range of motion) were analyzed using Kinovea software. Results: A two-way ANOVA revealed the FPG exhibited a significantly smaller release angle compared to IG. However, no significantly differences observed between FEG and IG for kinematic variables. Accuracy improved significantly from pre-to post-test at the three groups. Individual group led to higher accuracy than FPG, and frist-performer group had higher RE than the first-evaluator. Conclusions: The findings of this study support the benefits of observational learning in the early stages of learning. Also, priority assignment the role of evaluator and executive can influences motor performance in a dyadic approach.

Pedagogical Practices of Speaking Skill Instruction in Secondary Schools

Effective speaking skills are crucial in language education as they enhance communication and boost confidence in various social and professional settings. The research attempts to identify the various techniques, methods, and strategies employed by secondary level English teachers in teaching speaking skills at secondary level. The study employed descriptive survey design with a quantitative approach to investigate speaking skill instruction in Lumbini province, Nepal. The target population included 480 secondary-level English teachers with a minimum of five years of teaching experience. Stratified simple random sampling ensured representation from community and institutional schools. Data collection utilized a structured questionnaire with 45 open-ended questions, distributed electronically to ensure anonymity. Findings revealed disparities in time allocation for speaking instruction between community and institutional schools. Most teachers allocate one or two periods per week, with institutional schools dedicating more time. Emphasis on fluency, accuracy, or both varies, with a majority focusing on both aspects. Learner-centered techniques are favored for engaging students, with role play and prepared talks common activities. Motivational techniques include questioning, classroom discussions, and role assignment. Preferred pronunciation improvement techniques involve imitation and recording exercises. Materials like pictures and newspapers are frequently used, while audio devices are favored for teaching. Testing techniques focus on oral questions and picture description. Preferred teaching techniques include picture describing and dialogue/interview/prepared talks. Effective classroom environment and management emphasize well-managed classrooms and limited student numbers. Overall, practices in institutional schools show a greater emphasis on learner-centered approaches and varied activities compared to community schools.

A Comprehensive Architecture for Federated Learning-Based Smart Advertising.

This paper introduces a cutting-edge data architecture designed for a smart advertising context, prioritizing efficient data flow and performance, robust security, while guaranteeing data privacy and integrity. At the core of this study lies the application of federated learning (FL) as the primary methodology, which emphasizes the authenticity and privacy of data while promptly discarding irrelevant or fraudulent information. Our innovative data model employs a semi-random role assignment strategy based on a variety of criteria to efficiently collect and amalgamate data. The architecture is composed of model nodes, data nodes, and validator nodes, where the role of each node is determined by factors such as computational capability, interconnection quality, and historical performance records. A key feature of our proposed system is the selective engagement of a subset of nodes for modeling and validation, optimizing resource use and minimizing data loss. The AROUND social network platform serves as a real-world case study, illustrating the efficacy of our data architecture in a practical setting. Both simulated and real implementations of our architecture showcase its potential to dramatically curtail network traffic and average CPU usage, while preserving the accuracy of the FL model. Remarkably, the system is capable of achieving over a 50% reduction in both network traffic and average CPU usage even when the user count escalates by twenty-fold. The click rate, user engagement, and other parameters have also been evaluated, proving that the proposed architecture's advantages do not affect the smart advertising accuracy. These findings highlight the proposed architecture's capacity to scale efficiently and maintain high performance in smart advertising environments, making it a valuable contribution to the evolving landscape of digital marketing and FL.