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Virtual reality and its impact on the industrial product
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The current study investigates the impact of virtual reality technology on industrial product design. The focus of this study is on the development of industrial products that utilize virtual reality technology, specifically examining the effects of this technology on the visual and design aspects of these products. The aim is to continuously improve the functionality of industrial products and enhance the user experience through virtual reality integration.
The first chapter of the study addresses the research problem, which centers around exploring the technological influence of virtual reality used in industrial products and understanding the functionalities it brings to the design process. Virtual reality technology facilitates the activation of user's mental imagery and imagination, thereby highlighting the technological transformation in these products. Based on this, the study formulates the research problem that raises several questions, primarily concerning the extent to which virtual reality technology enhances the functionalities of industrial products.
The study's significance lies in uncovering the various applications of virtual reality technology in industrial products, leading to improvements in design, performance, and user experience. Additionally, the study aims to comprehend the impact of virtual reality on industrial product design to enhance their quality and alignment with user needs and expectations.
Furthermore, the chapter delves into defining the terms and concepts relevant to the research scope, contributing to establishing the theoretical framework for the study.
To achieve the research objectives, the researcher collected the main focal points for analysis based on the theoretical framework, which consisted of three main areas. The first area explored the concept of virtual reality technology in industrial products, identifying various types of this technology and its diverse applications. The second area investigated the effectiveness of functional performance and user interaction with virtual reality products. Finally, the third area reviewed the impact of virtual reality technology on the functional performance and structural composition of industrial products, leading to the identification of key indicators derived from the theoretical framework.
In the third chapter, the research procedures and sample selection method were elucidated. The sample was deliberately chosen in alignment with the research objectives and methodology. The descriptive-analytical approach was adopted for the case study, considering its suitability for the research topic. The sample consisted of electronic computer manufacturing companies.
Moving on to the fourth chapter, it presented the findings and conclusions drawn by the researcher. Subsequently, the chapter included recommendations, proposals, and a list of references used in the study

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Publication Date
Sun Jun 01 2014
Journal Name
Nasaq
Mathematical Logical Intelligence and its Relationship with Achievement among College of Education Students in Baghdad Governorate
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Publication Date
Wed Jul 01 2020
Journal Name
Indian Journal Of Forensic Medicine & Toxicology
Prothrombotic changes in patients with end-stage renal disease and its relation to thrombotic cardiovascular complication
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There is a great risk of cardiovascular disease (CVD) and vascular thrombosis in patients with End-Stage Renal Disease (ESRD). These patients exhibit numerous abnormalities in coagulation, fibrinolytic, inhibitory protein abnormalities in multiple levels. The study aimed to assess hypercoagulable changes by measuring the levels of antithrombin, plasma fibrinogen and FXII activity in patients with ESRD, and to find their correlation with Hemoglobin (Hb) level, WBC count, reticulocyte percentage and platelet count. This study was conducted at Al-Hayat center, Al Karama Teaching Hospital on 50 ESRD patients aged < 60 years of both genders. In addition, 20 apparently healthy individuals were included as a control group. The mean Hb level, total

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Scopus
Publication Date
Sun Jun 30 2019
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Effect of Microwave Treatment in Graphite Anode for Microbial Fuel Cell and Its Application in Biosensor
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The electrode in the microbial fuel cell has a significant effect on cell performance. The treatment of the electrode is a crucial step to make the electrode surface more habitable for bacteria growth, thus, increases the power production as well as waste treatment. In the current study, two graphite electrodes were treated by a microwave. The first electrode was treated with 100W microwave energy, while the second one was treated with 600W microwave energy. There is a significant enhancement in the surface of the graphite anode after the pretreatment process. The results show an increase in the power density from 10 mW/m2 to 15 mW/m2 with 100w treatment and to 13.47 mW/m2 with 600w treatment. An organic

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Publication Date
Thu Aug 01 2024
Journal Name
Journal Of Taibah University Medical Sciences
Cytotoxic properties of Pelargonium graveolens leaf extract and its green-synthesized gold nanoparticles (in vitro study)
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Publication Date
Sat Oct 01 2011
Journal Name
Journal Of Engineering
MODIFIED TRAINING METHOD FOR FEEDFORWARD NEURAL NETWORKS AND ITS APPLICATION in 4-LINK SCARA ROBOT IDENTIFICATION
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In this research the results of applying Artificial Neural Networks with modified activation function to
perform the online and offline identification of four Degrees of Freedom (4-DOF) Selective Compliance
Assembly Robot Arm (SCARA) manipulator robot will be described. The proposed model of
identification strategy consists of a feed-forward neural network with a modified activation function that
operates in parallel with the SCARA robot model. Feed-Forward Neural Networks (FFNN) which have
been trained online and offline have been used, without requiring any previous knowledge about the
system to be identified. The activation function that is used in the hidden layer in FFNN is a modified
version of the wavelet func

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Publication Date
Tue Aug 01 2023
Journal Name
Baghdad Science Journal
Eco-Friendly Synthesized of CuO Nanoparticles Using Anchusa strigosa L. Flowers and Study its Adsorption Activity
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            Environmentally friendly copper oxide nanoparticles (CuO NPs) were prepared with a green synthesis route via Anchusa strigosa L.  Flowers extract. These nanoparticles were further characterized by FTIR, XRD and SEM techniques. Removing of Gongo red from water was applied successfully by using synthesized CuO NPs which used as an adsorbent material. It was validated that the CuO NPs eliminate Congo red by means of adsorption, and the best efficiency of adsorption was gained at pH (3). The maximum adsorption capacity of CuO NPs for Congo red was observed at (35) mg/g. The equilibrium information for adsorption have been outfitted to the Langmuir, Freundlich, Temkin and Halsey adsorption isot

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Publication Date
Mon Oct 17 2011
Journal Name
Journal Of Engineering
MODIFIED TRAINING METHOD FOR FEEDFORWARD NEURAL NETWORKS AND ITS APPLICATION in 4-LINK SCARA ROBOT IDENTIFICATION
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In this research the results of applying Artificial Neural Networks with modified activation function to perform the online and offline identification of four Degrees of Freedom (4-DOF) Selective Compliance Assembly Robot Arm (SCARA) manipulator robot will be described. The proposed model of identification strategy consists of a feed-forward neural network with a modified activation function that operates in parallel with the SCARA robot model. Feed-Forward Neural Networks (FFNN) which have been trained online and offline have been used, without requiring any previous knowledge about the system to be identified. The activation function that is used in the hidden layer in FFNN is a modified version of the wavelet function. This approach ha

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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Green synthesis of CdS:Sn NPs by Starch as a Covering Agent and Studying its Physical Properties
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The aim of this research is to employ starch as a stabilizing and reducing agent in the production of CdS nanoparticles with less environmental risk, easy scaling, stability, economical feasibility, and suitability for large-scale production. Nanoparticles of CdS have been successfully produced by employing starch as a reducing agent in a simple green synthesis technique and then doped with Sn in certain proportions (1%, 2%, 3%, 4%, and 5%).According to the XRD data, the samples were crystallized in a hexagonal pattern, because the average crystal size of pure CdS is 5.6nm and fluctuates in response to the changes in doping concentration 1, 2, 3, 4, 5 %wt Sn, to become   4.8, 3.9, 11.5, 13.1, 9.3 nm respectively. An increase in crystal

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Publication Date
Wed Dec 01 2021
Journal Name
Open Biology
Structure and in silico simulations of a cold-active esterase reveals its prime cold-adaptation mechanism
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Here we determined the structure of a cold active family IV esterase (EstN7) cloned from Bacillus cohnii strain N1. EstN7 is a dimer with a classical α/β hydrolase fold. It has an acidic surface that is thought to play a role in cold-adaption by retaining solvation under changed water solvent entropy at lower temperatures. The conformation of the functionally important cap region is significantly different to EstN7's closest relatives, forming a bridge-like structure with reduced helical content providing greater access to the active site through more than one substrate access tunnel. However, dynamics do not appear to play a major role in cold adaption. Molecular dyn

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Scopus
Publication Date
Wed Jan 01 2020
Journal Name
Plant Archives
An analysis for adoption of subsurface irrigation technology and its role in agricultural development in Iraq
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Scopus