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ABSTRACTThis study uses Conditional Generative Adversarial Network (CGAN) to construct a method for generating floor plans for long-term care spaces in retirement home buildings to assist architects in improving interior space design. The results of this study show the following: (1) For the interior design of long-term care spaces in retirement home buildings, the CGAN model has strong understanding and calculation capabilities. The zoning layout of long-term care spaces in retirement home buildings has been completed, and the results show that the CGAN model has reference value. (2) Although there are several differences in the design of CGANs and authentic design, there are still many similarities. Some unreasonable results, such as space generation in corridors and elevator shafts, require further manual correction. (3) According to a later questionnaire survey on the satisfaction of architects and CGAN model design solutions, the difference between the two is not large, which also illustrates the great potential of CGANs for intervention in interior space design. This helps architects create more detailed plans based on the model, greatly increasing work efficiency. Moreover, additional interior space design possibilities can be explored, and to some extent, the architect’s subjective assumptions can also be corrected.

To deeply analyze the performance of paper-cutting elements in interior space design, this paper explores the artistic expression of paper-cutting elements. The BIM model is constructed based on the TVL algorithm, and a noise-reducing style migration method with an additional total variable loss function is used to fuse the texture features of a specific paper-cutting style so that the paper-cutting texture is generated in the target object area more intensively. The algorithm is supplemented with a U-shaped network structure to obtain the mask map of the target object, modify and expand the ScanNet training data set, and input a content map and a style map to generate the stylized paper cutout image automatically. The results show that compared with other elements, the stability of paper-cut elements reaches 96.31%, the image smoothness reaches 89.34%, and the retention of significant regions reaches 93.26%. In modern design, the peak signal-noise of paper-cut elements improved by 13.418d on average, the structural similarity also improved by 0.34807, and the recognition rate of paper-cut elements in the furnishing category reached 95%. Applying paper-cut art in interior space design can give interior furnishing design better visual effects, provide inspiration and ideas for interior space design innovation, and contribute to improving aesthetics.

In this study, the integration of Building Information Modeling (BIM) and Virtual Reality (VR) technologies with performance analysis software facilitates the selection of optimal indoor space layouts for settlement buildings. This is achieved through the use of information modeling and visualization tools to assess various aspects such as sunlight exposure, lighting conditions, architectural parameters, and energy consumption across different building layouts. A virtual environment was created using BIM and VR, within which the collision detection algorithm was refined using a chime-playing test scenario to enhance the quality control of 3D models. At 5000 triangular slices, the detection algorithm optimized in this study demonstrated a real-time performance that is 19 milliseconds faster than that of the comparative algorithm. Furthermore, in scenarios involving micro-speed air exchange, an open window area of 30 square meters facilitated an air volume of 250,168, indicating both economic and practical benefits. The overall satisfaction with interior design and spatial arrangement achieved through BIM and VR integration consistently exceeds 80%, underscoring the synergistic potential and future-oriented trajectory of combining these technologies.

In order to quantitatively analyze the application performance of elements in interior space design, a detection method of texture visual features of elements distribution images in interior space design based on image processing and texture edge contour features detection is proposed. A multi-resolution visual information collection model for detecting the texture visual characteristics of element distribution images in indoor space design is constructed, and a visual characteristic identification model for element application configuration in indoor space design is established. Multi-texture grid block area combination design method is adopted to realize the fusion of element application configuration visual images in indoor space design. Through the edge feature detection method of texture grid area, Establish a visual parameter identification model of element application configuration in interior space design, extract the visual information feature quantity of element application configuration in interior space design, adopt Harris corner feature matching method, realize distributed detection of texture edge contour features of element application configuration visual features in interior space design, and fuse detection of high-resolution texture information through combined filtering and collaborative filtering. The collection and optimization of visual features of element application configuration in interior space design are realized, and the distributed detection algorithm of texture edge contour features is adopted to improve the convergence level of detection of texture visual features of element distribution images in interior space design, and the application of elements in interior space design based on image processing is realized. The simulation results show that this method has good resolution and strong visual expression ability in extracting the texture visual features of element distribution images in interior space design, which improves the quantitative analysis ability of elements in interior space design. [ABSTRACT FROM AUTHOR]

In response to the high cost and low efficiency in traditional interior space design, this research applies image feature extraction algorithms to interior space design to improve design efficiency. This method first extracts image features from two-dimensional home images to construct an image feature library for home items. Principal component analysis is combined to reduce the dimensionality of vectors in the library. Then a matching recommendation model is constructed. Next, binary encoding is applied to the feature layout of layout scene. Hot unique encoding technology is used to map it into vector representations and abstract vector extraction using word embedding algorithms. Finally, a layout network model is constructed using a neural network model to achieve indoor space layout. According to the results, the proposed recommendation model improved the average recommendation precision by 66.7% compared with traditional recommendation algorithms. When the principal component analysis algorithm reduced the vector dimension to 128 dimensions, the precision of the designed model improved by 17.1% compared with the Collaborative Filtering Recommendation (CF). When the number of similar home items was 4, the model training effect was better, and the recommended precision of the model was 61.3%. The learning rate determined the convergence effect of the layout model. The best convergence effect was achieved when the learning rate was 0.1. Therefore, the proposed method can quickly and accurately complete intelligent design work, which has practical significance for the field of computer vision.

Efforts to increase the quality of this environment have been going on since the beginning of the concern for shelter in the history of humanity. The main targets of the user, designers, practitioners, and decision-makers are to carry the quality of life, health, safety, and welfare of individuals and other living things to the next level. Problems have been identified to increase the function and quality of the space, spatial requirements have been determined, and researched, and some design factors have been determined to reach the most appropriate solution. The researchers focused on the proposition that the effectiveness of these factors before and during the design process would increase the quality of the space. However, since research generally focuses on indoor quality, the outdoor quality factors that are part of urban design are not clear. This work, was designed to evaluate the usability of these factors, which were determined and measured especially to deal with the interior, in designs at larger scales (street, neighborhood, city…) and to improve the existing. In designs outside the spatial scale, where almost all factors can be controlled by the relevant stakeholders of the process, the subject is approached through changeable and unchangeable parameters and their balancing. Studies on the factors determined during the process were compiled and their effects on different scales were evaluated as a result of these compilations. As a result of the evaluation, some suggestions were given. In the process of redesigning the space, selecting feasible suggestions, and incorporating them into the creation of the future physical space, using the suggestions as urban rehabilitation tools, and considering these interventions to be flexible and suitable for various factors are of great importance for the psychology of the users.

The topic of context is one of the important topics, which was mentioned as a concept in several fields and different fields, and there were many points of view that defined that concept. He specified the title of the research (design contexts in the design of the interior space), as the research sought to identify the concept of context in the interior design of the spaces of sewing workshops. The research was divided into four chapters: The first chapter, which consists of the methodological framework, the problem of research and the need for it, the importance of research, the goal and limits of research for sewing workshops for vocational schools from (2020-2021). The second chapter: consists of previous studies and the theoretical framework of two topics: The first topic: the concept of context in interior design. The second topic: spaces for sewing workshops. The third chapter: It consists of research procedures, and it is the research community. The descriptive approach was adopted in the sample analysis, which is considered one of the important research methods, in order to study phenomena, improve them, and solve problems. It diagnoses the phenomenon accurately to analyze the information and being the most appropriate with the direction of the research. At the end of the chapter, several results were produced according to the analysis form and the indicators of the theoretical framework. The fourth chapter: includes the results, conclusions, recommendations and proposals reached from this research, the most important of which are: 1- A context is one of the main foundations for achieving meaning through simultaneous and sequential elements. 2- Poor proportionality in the scale of the space led to poor perception and assimilation of the components of the internal space

“Habitat Interior Space Design” is a compulsory course for environmental design majors. Through this course, students can clarify the ideas and methods of environmental design living space scheme design and systematically master the types, styles, and ergonomics of living spaces; therefore, learning Habitat Interior Space Design well requires students to master more basic principles and practical projects. In this paper, we will discuss the significant changes that have occurred as a result of the introduction of the “experimental teaching method” into the teaching of Habitat interior space design.

The current research studies the innovative thinking system in the field of the interior design, and the extent of the possibility of activating its work mechanisms as a strategy for the redesigning principle according the variables of the contemporary social thinking. The research aims at revealing the nature of the thinking criteria and requirements that provide strategic values that guide the interior designer and the architect to organize the mechanism the act of designing. It also contributes in dealing with the design product through activating its ability in innovation and redesigning. The research consists of the concept of innovation, the qualitative levels and the basic classifications, in addition to dealing with the most important criteria and requirements for activating the creative side of the designer and the objectives envisioned by it which call for the continuation of the possibility and redesigning the innovated from in a way that secures the closeness from the aesthetic and functional integration of the design form and it gives the recipient a sense of pleasure and acceptance. The research also deals with the redesign principle as a binding condition for the process of innovation. The most important contemporary technologies that called the designers to work according the mentioned principle. The research reached at a number of conclusions including: The ultimate goal is manifested in activating the redesign principle through developing and advancing the concepts, attitudes, knowledge, skills, the functional and organizational structures, and systems and styles of design, in addition to creating the suitable organizational atmosphere for innovation and positive interaction between the human being and the environment.

Copyright of Journal of the Cukurova University Institute of Social Sciences is the property of Cukurova University Institute of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Oriental design is based on Oriental cultural tradition and philosophy. After merging with the essence of modern design, it has gained new vitality and constantly meets the spiritual and material needs of modern people. This paper mainly summarizes the design strategies from three aspects: element minimalism, light and shadow inheritance and meditation practice. Combined with the team practice case analysis, this paper hopes to provide help for other designers’ localization design thinking. It is hoped that designers can establish cultural confidence based on their understanding of Oriental culture and philosophy, and naturally integrate Oriental Spirit into future design.

With the rapid rise in the number of people buying houses, the demand for interior space design has also increased accordingly. The diversification of existing room types and the diversity of the public's perception of fashion make interior designers in short supply. The future of computer science and technology in the field of automatic design of indoor areas will be immeasurable. This paper proposes an automatic layout method for spatial area design based on convolutional neural networks (CNN). CNN methods are a fast and efficient method. By mimicking the designer's design process, it proposes a two-stage algorithm that defines the room first and the wall later, and the algorithm also provides a large-scale dataset called RPLAN that contains more than 80,000 interior layout plans from real residential buildings. Starting from the prediction living room, the automatic layout of the indoor areas is completed by iteration. A large number of empirical results show that the interior area design effect of this method is comparable to the interior design floor plan of professional designers. [ABSTRACT FROM AUTHOR]

Copyright of Al-Academy is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)