The visual impression represents a compound process of a group of concepts that might be secondary and interrelated to constitute, in reality, a cognitive image stored in the memory that can be retrieved according the implications of the situation in which the individual lives in his environment, as it awakens in him an image from the sub consciousness, thus it gets stimulated, and it is among the tangible things.
Since we live in our contemporary world under the development of knowledge, micro and wide technology of the devices, tools, materials, mechanisms, current developments and openness… etc. this transformation created visual impressions that the individual in general and the consumer in specific enjoys concerning his preferences for the image of the industrial product.
Thus, the current research problem can be established through an attempt to discover the consumer's awareness level and education, which depends on his visual impressions in preferring the industrial products that are characterized by high quality and technology in the operation mechanisms and the demonstration techniques, which generates functional and other aesthetic dimensions. Therefore, the researcher determined the following question:
What are the functional and aesthetic dimensions of the industrial product and their implications on the creation of a visual impression on the consumer?
The current research aimed at:
1- Identifying the aesthetic and functional dimensions of the industrial product.
2- Reaching the influences of the aesthetic and functional dimensions of the industrial product over the creation of the consumer's visual impression.
The research community is made of the industrial products designed in (2019) by Samsung, and a random sample represented by (automatic washing machine- electronic refrigerator- television screen) has been chosen.
Therefore, these samples have been subjected to the analysis and investigation process to verify the aim of the current research. The following are some conclusions:
1- The idea of the industrial designer, when implementing the product, requires achieving the functional dimensions of it represented by the ease of use according to clear operation mechanisms for the consumer through relying on advanced high efficiency systems.
2- The industrial product can have a high technology which reduces the consumer's time and effort in the process of the functional use of this product in a way suitable with the concept of performance and achieves the benefit.
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MDS code is a linear code that achieves equality in the Singleton bound, and projective MDS (PG-MDS) is MDS code with independents property of any two columns of its generator matrix. In this paper, elementary methods for modifying a PG-MDS code of dimensions 2, 3, as extending and lengthening, in order to find new incomplete PG-MDS codes have been used over . Also, two complete PG-MDS codes over of length and 28 have been found.
Microservice architecture offers many advantages, especially for business applications, due to its flexibility, expandability, and loosely coupled structure for ease of maintenance. However, there are several disadvantages that stem from the features of microservices, such as the fact that microservices are independent in nature can hinder meaningful communication and make data synchronization more challenging. This paper addresses the issues by proposing a containerized microservices in an asynchronous event-driven architecture. This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. Experiment results show a decline in re
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Recommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success in providing item suggestions, they still face many challenges, including the cold start problem and data sparsity. Numerous recommendation models have been created in order to address these difficulties. Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. The ConvFM model is a novel convolutional neural network architecture that combines the capabilities of deep learning for feature extraction with the effectiveness o
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