International journal of sustainable applied science and engineering

New Approach to Solving Cell Formation Design with an Improved Similarity Coefficient Method

Azadeh Rasouli — 2025-10-16

Cellular manufacturing systems consider effective ways to increase the productivity of labor, materials, space, and time. In this way, the same machines are grouped into cells, which are then allocated to the family of similar parts. There are several ways to classify parts and cars in the cell. One of these methods is the use of a similarity coefficient. This new approach facilitates cell formation. This approach is divided into two stages. The first stage involves processing the sequence similarity coefficient presented in this article. In contrast, the second stage considers the number of repeat operations to identify parts with the maximum similarity, taking into account the family. In the second phase, a new mathematical model is presented, incorporating key operational aspects such as alternative routing, machine capacity, demand components, operational duration, and machine allocation to minimize costs across machine, operating, and transportation between cells. A performance test method, which had several issues identified in the literature, was tested and analyzed.

Modeling User Engagement in Environments: A Data-Driven Approach

Puya Shaykholeslami — 2025-12-01

This paper presents a comprehensive study on modeling virtual human‒computer interactions by analyzing the intricate dynamics between user characteristics, emotional states, interaction types, and satisfaction levels in digital environments. Using Python scripts, a dataset encompassing diverse user profiles was generated, highlighting key aspects such as age, gender, experience level, emotional response, and interaction duration. We found significant correlations among these variables, revealing that user satisfaction is influenced by the complexity of interactions and the emotional context in which they occur. The importance of this study lies in its implications for both scientific research and practical application in technology design. By presenting the relationships between user engagement and satisfaction, we underscore the necessity for advanced modeling techniques that account for user diversity in Virtual Human‒Computer Interaction (VHCI) systems. Despite the insights gained, we acknowledge limitations related to the synthetic nature of the data and the constraints of the machine learning approaches used for analysis. These factors suggest the need for future research to incorporate real-world user interactions into models, enhancing the validity and applicability of findings. Our findings advocate for a deeper exploration of adaptive systems that can respond to user emotions and preferences in real time. This study underscores the critical role of understanding virtual human behavior in shaping effective and satisfying virtual interactions in an evolving technological landscape. The insights gained from this research serve as a foundational step toward enhancing the accuracy and responsiveness of VHCI systems, ultimately contributing to the advancement of human–computer relationships in digital environments.

Text-Based Simulation of Human-Computer Interaction Using Cognitive-Affective Architectures and Natural Language Interfaces

Puya Shaykholeslami — 2025-12-01

This study presents a text-based simulation framework for modeling Human-Computer Interaction (HCI) using a hybrid cognitive-affective architecture integrated with natural language processing tools. Rather than relying on external corpora, we generate a synthetic dataset of 27 text samples that reflect diverse emotional and linguistic patterns commonly observed in intelligent systems' interactions. Our methodology employs symbolic and statistical analysis, combining sentiment metrics (polarity, subjectivity) with structural linguistic features (word count, part-of-speech distribution, and average word length). Each sentence acts as a micro-interaction unit, evaluated through a custom Python pipeline using TextBlob, TF-IDF, cosine similarity, and visualization libraries. The simulation reveals that textual interactions, when modeled with both emotional and cognitive dimensions, can mimic realistic communication patterns, adapt to affective cues, and provide a platform for dialogue system benchmarking. A similarity matrix derived from cosine distances further supports the clustering of thematically aligned interactions, demonstrating the system’s interpretive fidelity. Results indicate that the proposed hybrid model captures subtle emotional nuances and structural variations across user expressions. This dual-layered modeling opens avenues for more emotionally intelligent dialogue agents and enables refined evaluation in early-stage HCI development environments.

Cultural Identity and Seismic Resilience in Vernacular Architecture: A Multidimensional Analysis of Traditional Houses in Diyarbakır, Türkiye

Maryam Karimi — 2025-12-22

Turkey’s diverse architectural heritage encompasses a wide range of vernacular housing traditions in which cultural identity and environmental adaptation are deeply intertwined. Among these traditions, the traditional houses of Diyarbakır—located in one of Türkiye’s most seismically active regions—offer a distinctive architectural model in which local identity, material culture, and resilience strategies converge within a coherent spatial logic. This study examines the cultural and identity-based dimensions of Diyarbakır’s vernacular houses through a comparative analysis of three representative examples: the Ziya Gökalp House, the Cahit Sıtkı Tarancı House, and the Cemil Pasha Mansion. Employing a descriptive–analytical methodology supported by literature review, historical documentation, and visual/field-based observations, the research investigates how spatial organization, material systems, and functional zoning encode cultural meaning while simultaneously responding to climatic and seismic conditions. The findings indicate that key architectural features—such as the haremlik–selamlık division, courtyard-centered planning, introverted spatial layouts, and the extensive use of local black basalt—reflect enduring social norms, cultural traditions, and environmental adaptation strategies. At the same time, structural characteristics including compact massing, thick masonry walls, low-rise configurations, and controlled façade openings significantly enhance the seismic performance of these dwellings. Overall, the study demonstrates that Diyarbakır’s traditional architecture expresses cultural identity not only at a symbolic level but also through structural logic and spatial performance. The results underline the potential of vernacular architectural principles as effective references for developing contemporary design approaches that are culturally grounded, environmentally responsive, and resilient in earthquake-prone regions, while supporting heritage-sensitive and seismic-resilient architectural strategies.