درخت حوزه‌های تخصصی

The purpose of this study is to provide a model with a dynamic system method to investigate the factors affecting the technological capabilities enhancement in the high-tech industries of high-speed train of the rail transportation system. For this purpose, after reviewing the literature and conducting several meetings with experts in the rail transportation industry, a conceptual and qualitative structure of the subsystems and how they relate in this area were obtained. Then, in order to identify the effective dynamics in upgrading technological capabilities in high-tech industries in high-speed rail transportation, causal loops were drawn and the model was simulated with VENSIM software. Then, using a simulation model, the technology development process was modeled based on the developed structure. Finally, in order to consider the uncertainty space, based on the expert’s opinions, two scenarios of optimism and pessimism were considered. Based on the obtained results, variables such as having a suitable vision for technology development, recognizing basic technological priorities, ability to use and control technology effectively in main and support processes, ability to learn from one technology to another, ability to identify, evaluate, negotiate and finalize the terms of technology acquisition and support facilities, the ability to identify customers, announce auction prices and negotiate terms of sale, the ability to plan, monitor and control research and development projects and having  a proper system for evaluating technological projects,  have  great impact.

Advertisement is one of the most known ways of marketing. today, advertisement is meant to be used in organizations and institutions to reach their social, communicational, and sale goals. Nevertheless, achieving good results is dependent on having right knowledge of market, customers and their needs.in the current era, everyone is aware of the importance of advertising in business. If advertisements help in keeping sales share in the market in short time, they would also assist in long term with making customers used to them and hence creating regular customers. The purpose of this study is investigating Effect of Advertisement Features in Social Media on Consumer Attitude with regard to the Mediator Role of Advertising Value in Iran Food Industry. This research, from target point of view, is known a practical research. by considering data gathering, this article is measured a descriptive non-analytic research. statistical society of this research includes 5200 science and technology students of Islamic Azad University, with respect of Morgan Table and 357 sample number. in this article, random sampling measurement was used. The article presents the positive and meaningful impact of an informativeness and irritation advertisement on the advertising value, as well as entertainment advertisement effect and advertising value on the attitude towards. mediator role of advertising value in irritation advertisement effect on the attitude towards was approved. Consequently, the impact of entertainment advertisement on advertising value and mediator role of advertising value on informativeness advertisement effect on attitude towards was not approved.

In recent privacy has emerged as one of the major concerns of deep learning, since it requires huge amount of personal data. Medical Image Analysis is one of the prominent areas where sensitive data are shared to a third party service provider. In this paper, a secure deep learning scheme called Metamorphosed Learning (MpLe) is proposed to protect the privacy of images in medical image analysis. An augmented convolutional layer and image morphing are two main components of MpLe scheme. Data providers morph the images without privacy information using image morphing component. The human unrecognizable image is then delivered to the service providers who then apply deep learning algorithms on morphed data using augmented convolution layer without any performance penalty. MpLe provides sturdy security and privacy with optimal computational overhead. The proposed scheme is experimented using VGG-16 network on CIFAR dataset. The performance of MpLe is compared with similar works such as GAZELLE and MiniONN and found that the MpLe attracts very less computational and data transmission overhead. MpLe is also analyzed for various adversarial attack and realized that the success rate is as low as . The efficiency of the proposed scheme is proved through experimental and performance analysis.