The current research sheds light on an important aspect of the great and rapid development in the field of science and technology and modern manufacturing methods as a result of the scientific revolution resulting from the accelerated cognitive development, which prompted designers in general and interior design in particular to exploit and invest in digital technology and the development of digital control in the process of designing the industrial product for the purpose of creativity and innovation through these digital programs Digital models achieve the requirements and desires of the interior designer according to the creative skill using modern software with high efficiency And extreme accuracy that is consistent with the requirements of the user, interior designer and beneficiary companies.
Therefore, the research problem can be identified by the following question: What is the nature of the variables in the modeling patterns in the stages of contemporary interior space design through the use of virtual reality techniques?, While the aim of this study was: to reveal the importance of digital models in the real internal space through virtual reality outputs, the current research included three topics The first topic: variables and their relationships Interior space design, The second topic: modeling in interior design between reality and simulation, and the third topic: digital models in interior design, and the research reached a set of conclusions, the most important of which are:
1. Digital models allow the designer, beneficiary organizations and people to explore the interior space before it is designed.
2. Designers use Digital Prototyping to design, optimize, validate, and visualize their spaces digitally throughout the design stages.
3. Innovative digital models can be created through creative designs, achieving multiple design objectives (best performance, high efficiency, space effectiveness, appropriate cost)
Keywords: Digital, modeling, interior design
Search problem:
Testing the outputs of the design process and verifying the extent to which they achieve the goals and address failures or development on the design itself is one of the first priorities of companies and design centers and is widely used in digital models since the start of the process and achieves its goals by increasing revenues, reducing cost, speed of delivery, and achieving quality conditions, and companies that use digital models achieve 86% superiority of their counterparts that use traditional prototypes, as well as a precedence rate from the design stages to the start of production in record time. It costs relatively less, which gives it priority in competition as well as speed of implementation (Aberdeen Group, October 2006,p. i)
The rapid development in the cognitive systems pushed designers in general and the interior designer in particular to exploit and invest in digital technology and the development of digital control in the process of designing the industrial product for the purpose of creativity and innovation through these digital programs Digital models achieve the requirements and desires of the interior designer according to the creative skill using modern software with high efficiency and extreme accuracy consistent with the requirements of the user, interior designer and beneficiary companies.
Therefore, the research problem can be identified by the following question: What are the digital modeling techniques in the design of the virtual indoor space and what are their variables?
The importance of research:
The importance of the current research lies in:
1- Addressing a topic that enriches the knowledge of modeling patterns variables in the inner space.
2- The results of the study serve the relevant institutions of designers and researchers
Herein, we report designing a new Δ (delta‐shaped) proton sponge base of 4,12‐dihydrogen‐4,8,12‐triazatriangulene (compound
Background Fibroblast growth factor receptor 2 (FGFR2) and trinucleotide repeat-containing 9 (TNRC9) gene polymorphisms have been associated with some cancers. We aimed to assess the association of FGFR2 rs2981582 and TNRC9 rs12443621 polymorphisms with hepatocellular cancer risk. Methods One hundred patients with HCV-induced HCC, 100 patients with chronic HCV infection, and 100 controls were genotyped for FGFR2 rs2981582 and TNRC9 rs12443621 using allele-specific Real-Time PCR analysis. Results FGFR2 rs2981582 genotype TT was associated with increased risk of HCC when compared to controls (OR = 3.09, 95% CI = 1.24–7.68). However, it was significantly associated with a lower risk of HCC when using HCV patients as controls (OR =
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... Show MoreIn the present study, magnet silica-coated Ag2WO4/Ag2S nanocomposites (FOSOAWAS) were fabricated via a multistep method to address the drawbacks related to single photocatalysts (pure Ag2WO4 and pure Ag2S) and to clarify the significant influence of semiconductor heterojunction on the enhancement of visible-light-driven organic degradation. Different techniques were performed to investigate the elemental composition, morphology, magnetic and photoelectrochemical properties of the fabricated FOSOAWAS photocatalyst. The FOSOAWAS photocatalyst (1 g/L) exhibited excellent photodegradation efficiency (99.5%) against Congo red dye (CR = 20 ppm) after 140 min of visible-light illumination. This result confirmed the ability of the heterojunction be
... Show MoreBackground: The mechanical properties of 3D-printed denture base resins are crucial factors for determining the quality and performance of dentures inside a patient’s mouth. Tensile strength and diametral compressive strength are two properties that could play significant roles in assessing the suitability of a material. Although they measure different aspects of material behavior, a conceptual link exists between them in terms of overall material strength and resilience. Aim: This study aims to investigate the correlation between tensile strength and diametral compressive strength after incorporating 2% ZrO2 nanoparticles (NPs) by weight into 3D-printed denture base resin. Methods: A total of 40 specimens (20 dumbbell-shaped and
... Show MoreMultiple eliminations (de-multiple) are one of seismic processing steps to remove their effects and delineate the correct primary refractors. Using normal move out to flatten primaries is the way to eliminate multiples through transforming these data to frequency-wavenumber domain. The flatten primaries are aligned with zero axis of the frequency-wavenumber domain and any other reflection types (multiples and random noise) are distributed elsewhere. Dip-filter is applied to pass the aligned data and reject others will separate primaries from multiple after transforming the data back from frequency-wavenumber domain to time-distance domain. For that, a suggested name for this technique as normal move out- frequency-wavenumber domain
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