Sharif Digital Repository

Today safety is one of the major competition factors in automotive industries . The vehicles of today are more and more dependent on electronic systems , for driving safety and ease on control for the driver . Some systems are more or less standard in vehicles on the market , examples of such systems are ABS , ABC , etc. Despite of the effect of these systems on vehicle dynamics ,because they only control longitudinal dynamics and don't receive any feedback from vehicle lateral behavior , now control systems ,named VDC , have been developed and implemented in advanced vehicles. The operation of such systems is as this that in any time instance they evaluate vehicle dynamical behavior.... 

Nowadays, multilevel converters are significantly developed in industrial applications as well as energy transmission systems regarding proper quality of output waveforms and fault tolerant operation ability. Among the different topologies of multilevel converters, modular multilevel converter (MMC) due to its modularity feature it more accepted in high voltage direct current (HVDC) transmission systems. Fast fault detection in power electronics converters is necessary to bypass the defected part in order to prevent failure propagation to other Submodules and to provide continues servicing. On this basis, different researches are reported in literature for MMCs fault tolerant operation. In... 

The emergence and development of E-commerce prompted many companies to reduce their cost by seeking new solutions that improve customer satisfaction level and product distribution. In this research, the coordination of a truck and a motorcycle is considered to utilize both vehicles' benefits. The mobile location of customers is another assumption in this research. Therefore, it is possible for customers to suggest different delivery times and locations. Based on the customer situation, there are three location modes which specify the accessibility. In this study, a mixed-integer linear programming model is presented to minimize service completion time. In addition, two metaheuristic... 

In competitive markets where a product or service is provided by multiple providers, as the telecom market, keeping active users is expected to be less expensive than attracting new users. In this regard, first of all, churning should be predicted for active users, and secondly, proper recommendations should be provided to prevent churning. In this thesis, by modeling customer churn as a response to the recommendations, we study the churn prediction and prevention problem as a recommender system. This model enables us to select the best offer for each user to prevent it from churning.Modeling customer churn in a recommender system introduces new challenges, including delay in observing... 

In everyday life and modern telecommunications applications, the quality and intelligibility of speech signals often degrade due to various types of background noise. To address this issue, methods for enhancing noisy speech signals have been developed. Recently, deep learning, particularly deep generative models, has gained attention for solving this problem. At the forefront of this attention are diffusion models, which offer good generalization capabilities and demonstrate strong performance. However, a major drawback of these models is their high computational cost. In this thesis, we aim to reduce the training and sampling time of diffusion models for speech enhancement. Our implemented... 

Collision attack is one of the usual attacks in cryptanalysis of hash functions. One method for applying this attack is linear approximation of equivalent compress function. Finding collisions for linearized compress function, having low Hamming weight, with a large probability could provide collisions for the main compress function. For this purpose, the problem of finding collision for used compress function is modeled by that of the linearized one, having low Hamming weight differences with a large probability. The problem of finding collisions with low Hamming weight differences is equivalent to the problem of finding codewords with low Hamming weights in linear binary code. Canteaut and... 

Understanding the behavioral processes of boards has been a new line of inquiry in the board literature. This study has focused on the leadership roles of heads of boards of subsidiary companies in a corporation. This subject is widely practical in most industries but rarely explored. An embedded multiple case study design was used to compare the leadership roles of heads of boards of two groups of boards with high and low effectiveness in a corporation assessed by a multi-source appraisal method. Based on several interviews with different stakeholders of the corporation within subsidiary boards of these two groups and the staff managers of the parent company, we compared the mechanisms that... 

With the fast-growing mobile networks, the need for network reliability increases. Various events like antenna failures, attacks on mobile networks, floods, sporting events cause abnormal behavior in mobile networks. Some events like antenna failures and attacks need consideration. But some of them like sporting events can be ignored. Right now, most mobile operators, detect these events manually which is a very time-consuming and costly task for them. To overcome this problem one idea is to predict future data by prediction algorithms. Then compare new data with the predicted one. If there exists significant deviation, there is an anomaly. But most of the failures and anomalies in mobile... 

In recent years, deep learning has experienced rapid and remarkable advancements, demonstrating exceptional performance in various applications such as computer vision, natural language processing, and autonomous vehicles. These models are continually evolving and expanding, yet they harbor inherent vulnerabilities that prevent complete trust in their reliability. One of the most critical issues is their susceptibility to adversarial attacks, where a clean image is subtly manipulated to create an adversarial example. Adversarial examples, generated by adding imperceptible perturbations to input data, can easily mislead deep learning models into making highly confident yet incorrect... 

The purpose of ranking Persian web pages is to retrieve the highest number of relevant documents related to the search query of Persian language users, with the minimum number of documents returned from the web. Information retrieval is one of the key issues in search engines. In this study, billions of documents were collected from Persian web pages, and due to infrastructure limitations, a few hundred million documents were indexed in a database like Elastic. Now, considering the user’s actual query, relevant documents should be retrieved from the indexed documents. To achieve this goal, a large Persian language model was needed. Existing large language models for Persian were not usable...