Optimization of Subway Advertising Based on Neural Networks

Ad Exchange Optimization Algorithms on Advertising Networks

Online advertising has seen great growth over the past few years. Advertisers have gotten better results with campaigns targeted at more specific audiences. Ad networks with few visits are unable to create such campaigns and hence are moving forward towards a new model, consisting of a huge global ad exchange market. In this market millions of advertisers compete for the ad space so that their ...

Effectiveness of subway advertising in Hong Kong

A Wireless Subway Collision Avoidance System Based on Zigbee Networks

A wireless subway collision avoidance system based on zigbee network is proposed in this paper. In the proposal, all the zigbee nodes are divided into two types, fixed nodes and mobile nodes. The fixed nodes are deployed in tree topology networks overlapped with each other along the subway tunnel; the mobile nodes are installed on the trains. The core idea is as soon as a fixed node establishin...

study of hash functions based on chaotic maps

توابع درهم نقش بسیار مهم در سیستم های رمزنگاری و پروتکل های امنیتی دارند. در سیستم های رمزنگاری برای دستیابی به احراز درستی و اصالت داده دو روش مورد استفاده قرار می گیرند که عبارتند از توابع رمزنگاری کلیددار و توابع درهم ساز. توابع درهم ساز، توابعی هستند که هر متن با طول دلخواه را به دنباله ای با طول ثابت تبدیل می کنند. از جمله پرکاربردترین و معروف ترین توابع درهم می توان توابع درهم ساز md4, md...

An Approach Based on Neural Networks for Gas Lift Optimization

Using a model-based optimization, a neural network model is used to compute the optimal values of gas injection rate and oil rate of a gas lift production system. Two cases are analyzed: a) A single well production system and b) A production system composed by two gas lifted wells. For both cases minimizing the objective function of the proposed strategy shows the ability of the neural networks...