مکان‌یابی با درنظرگرفتن موضوع رقابت در بازار، یک تصمیم راهبردی و بلندمدت محسوب می­‌شود. چنانچه انتخاب مکان، بررسی‌­های لازم صورت نگیرد، حیات سازمان تحت تأثیر قرار می‌­گیرد. به‌­دلیل وجود پیچیدگی‌­های موجود مسائل مکان‌یابی، ارائه مدل‌های محدودیت­‌های متنوعی مواجه است. هدف این پژوهش، توسعه مدل رقابتی درنظر­گرفتن دو محصول از سوی سه رقیب است؛ برای منظور، مسئله به‌­صورت بازی مکان ـ قیمت تعریف استفاد...

For her love, support and sense of humor. iii ACKNOWLEDGEMENTS This work could not have been completed without the help of many people. My advisor, Ellen Zegura, has been a constant source of motivation. Her ability to cut to the core of complex issues has never ceased to surprise and inspire me. Matt Sanders and Russ Clark have provided much appreciated friendship and stimulating discussion. M...

Introduction. The problems encountered in building a driver assistance system are numerous. The collection of information about real environment by sensors is erroneous and incomplete. When the sensors are mounted on a moving observer it is difficult to find out whether a detected motion was caused by ego-motion or by an independent object moving. The collected data can be analyzed by several a...

where F and B, with three indices, will denote the Lizorkin-Triebel space Fs p,q and the Besov space Bp,q, respectively. The different embeddings obtained here are under certain restrictions on the parameters. In this introduction, we will recall the definition of some spaces and some necessary tools. In Sections 2 and 3, we give the first contribution of this work. The theorems of Section 2 wi...

In this paper we look at a number of approaches for modeling the system acquisition process. Beginning with the waterfall model of Winston Royce, we continue with derivation that includes more intricate and detailed waterfall models with feedback, including the “V” and spiral models. In addition we look at several acquisition strategies. In reviewing the various models we discuss our view that ...

In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is t...