Sharif Digital Repository

The Internet of Things remains a matter of concern in the minds of the activists in the field after being raised. The structure of an IoT-based system, the components of an IoT-based system, the requirements and limitations of the Internet of Things are the most important parts of which no clear description of them has ever been presented. Structural modifiability, processing constraints, energy supply constraints, and most importantly the security of an IoT-based network are among the issues that have complicated the analysis of an IoT-based System. So providing a clear scheme and an open system for such networks can make it easier to make progress in this area. In this study, we first... 

Knowledge flows across organizational boundaries shape a firm’s knowledge base. Knowledge structuration refers to the two structural dimensions of a firm's knowledge base: Breadth (knowledge across technology domains) and depth (knowledge within technology domains). Despite the conceptual difference between the terms “(technological) knowledge” and “technology”, the two are often used interchangeably in empirical research on technology management. Our paper adopts an innovative approach, taking advantage of Machine Learning and clinical studies conducted by biopharma companies, to offer an empirical way of distinguishing between knowledge and technology. Moreover, we restructure the... 

Considering the high growth potential of creative industry as well as the increasing trend of e-business, content-oriented digital business has been the main focus of this research. These enterprises are a subset of the creative industry that are primarily developed in the digital context. After reviewing the literature, it was observed that the keyword "value creation" in this type of business has been less considered by research.On the other hand, in conversations with managers who are active in the industry, a practical vacuum was revealed on how to create value in these firms; Because a comprehensive review of value creation processes in these firms can ultimately lead to more profitable... 

In recent years, indirect methods of cancer detection that utilize changes in trace element levels in various parts of the body, such as hair and nails, have garnered significant attention from researchers.The primary objective of these methods is to identify alterations in trace element levels that serve as biological markers in the presence of disease. While direct examination of affected organs remains the gold standard for cancer diagnosis, it is often expensive, time-consuming, inconvenient, and associated with potential side effects. Therefore, if the effectiveness of this approach is validated, it could serve as a cost-effective, non-invasive, safe, and early diagnostic method in... 

In this comprehensive study, we explore the influence of general health innovation outputs on the burden of diseases across 70 nations spanning two decades, from 2000 to 2019, marking the first investigation of its kind. Our investigation takes into account associations among health-related patents, scholarly publications pertaining to health, and disability-adjusted life years (DALYs), a measure used to assess overall disease burden. Employing a robust fixed effect panel data model, our findings illuminate the notable impact health-related publications exert in mitigating disease burden universally across all countries examined. However, we did not find a similar association between patent... 

This Thesis aim to study the evolution of knowledge network in the path of innovation capability accumulation in knowledge-based firms, active in Iran's innovation system as a sanctioned economy. The research, by an in-depth case study and at the micro level, examines the accumulation of capabilities and the evolution of the knowledge networks for two knowledge-based firms active in the manufacture of linear accelerators and cargo-scanners as high-tech products. The results show that 1) the accumulation of capabilities from low levels to advance is based on product diversity and the knowledge inputs, which was first through "using, doing and interacting" has changed to "science, technology... 

Considering the role of artificial intelligence and the opening of the window of opportunity to use this technology and the possibility of catching-up it, in this research, the factors affecting the technological catching-up of artificial intelligence in countries have been studied. By using the components of the technology regime, the impact of each component on the technological convergence of artificial intelligence in leading and latecomer countries has been investigated, and the indicators of technological appropriability, Cumulativeness of technological innovation, originality, Technological cycle, Concentration and Diversity to understand the changes in the share of patents of... 

The present study investigates the relationships between feedback-seeking dimensions (frequency, method, timing, and content) and two types of individual performance (goal achievement and behavior-related performance). In addition, the relationships between feedback-seeking motives and feedback-seeking dimensions are examined. The purpose is to identify new explanations for the inconclusive results of the direct relationship between feedback-seeking and performance in the literature. Moreover, this study investigates work motivations based on self-determination theory as the antecedents of feedback-seeking motives. This study contains one qualitative phase and two quantitative ones.... 

Nowadays, surveillance cameras are an integral part of the transportation management center. On one hand, developing of surveillance cameras around the cities and on the other hand, increasing costs of driving accidents, makes it necessary to use the automatic behavior analyzing systems on video sequences. The scientists’ focuses on detecting unusual events as one of the most important usage of video analysis, and recently, the algorithms of unusual action detecting had an impressive development by using the machine learning methods. In this research, the existing unusual event detection methods and in special, traffic unusual activities will place under scrutiny, and we suggest an algorithm... 

The use of IoT-based technologies is expanding in many areas today. The use of audio and video processing in IoT systems has been used as an alternative to human operators by increasing power and reducing processing costs. Due to the large volume of audio and video data and bandwidth limitations, complete data transfer to cloud processing servers is not cost-effective in terms of efficiency and energy consumption. As a result, the solution that has provided good results is to discharge these device tasks to the available clouds. In other words, the capacity of resources in the environment can be used to optimize the total latency of the system and energy consumption. In this dissertation, we... 

Today, global value chains(GVCs) have distributed the production of goods and services all over the world and have become the main part of global trade. GVCs provide developing countries with oppurtunities for engaging in economic activity and producing goods, without developing all the infrastructure needed for producing it yourself. but participating in GVCs also pose some challenges to developing countries. if developing countries do not enhance their ability for generating value-added, by losing the advantage of cheap labour over time, they will fall into the so-called "middle-income trap". therefore upgrading, with the broad definition of generating more value-added, should be targeted... 

Throughout localization algorithms, sound source localization has received much interest using microphone array. Applications like tracking and determining angle of acoustic signal arrival have been combined with array processing techniques in the previous decade. Distributed micro sensor array have been suggested for a wide range of nowaday’s localization algorithms. The major goals are monitoring the environment, distinction, and pursue some phenomenon. This type of networks can be utilized for military application in tracking acoustic sources. Today’s advancement in technology allows implementation of the ultra low cost and low power integrated circuit for such application in the form of... 

Digital Steganography is the embedding of digital data into a video, image or audio signal. The embedding must be done such that the perceptual quality of the host signal does not seriously degrade. In the last decade, Steganography has received considerable attention in various application fields. Steganography is not always a legal process and may be used to establish illegal communications, transfer malware files to certain targets, or collect data illicitly from an organization. Steganalysis methods are developed to detect Steganography in such applications.
The purpose of this thesis is to develop a new steganalysis method based on perceptual models and statistical structure of the... 

In this work we present a surveillance video retrieval system based on Topic Models. We’ve shown that employing Dynamic Programming improve the effectiveness of Topic Model based retrival. In the other hand proposed method has the accuracy near to the low-level features based methods. Lightweight database is the major advantageous of propsed method over the low-level features based methods. In our work storage space occupied by database decreases from 42 MB to only 0.4 MB for the mit dataset. Moreover lightweight database strikingly speeded up the retrieval process, for example retrieval process in proposed method is about 24 times faster than low-level features based systems. Furthermore in... 

Once a well has been drilled before it is cased with the steels (open-hole well), some logging must be done to record information’s about layers, geologic formations, geophysical and petrophysical properties of well. All the information’s that gathered from sensors and tools transmitted to the surface by a down-hole modem. This information is corrupted during the transmission by the communication channel. The most notable influence of this channel is noise, attenuation and interference between successive data bits. On the other hand, the characteristic of channel changes with the length of the cable, temperature, connections and so on. So using a set of fixed filters is not effective. The... 

Recent studies show that the code-compliant structures have faced a lot of damages in earthquakes, and their performance could improve. The structure should have the least initial cost in this approach, which observes all of the code's limits regardless of the structure's life cycle cost. In recent years, value-based design has been considered as an alternative for code-based design procedures. In this method, some other parameters are considered as well as the initial cost of the structure, including risk, resiliency, reliability, and sustainability. In this paper, the structures' total cost is studied by Fema P-58, while it is equipped with viscous dampers. The structures are 4, 8, and 12... 

Super app is known as a software that provides the users with a variety of services in the form of a whole platform. Only a few studies have been done into the field of super apps. Although previous studies have made observations regarding the effect of motives on the customers` satisfaction, the effect of use intention on the customers` engagement has been negligibly looked into. The present research focuses on the effect of different use intentions (Hedonic, Utilitarian and social benefits) on the super app users` purpose by taking the customers` satisfaction and engagement into account. This study is different from the previous ones as the motives` effect has not been examined... 

Automatic traffic incident detection is one of the most important areas in intelligent transportation systems. In recent years big cities have faced major problems with traffic flow and congestion. Therefore, real time traffic monitoring in order to analyze traffic flow plays a key role in solving traffic problems. The purpose of this study is to design an integrated system for automatic traffic incident detection and traffic monitoring based on deep learning with vehicle detection and classification, counting, average speed estimation, extracting traffic parameters such as congestion level and event detection such as unauthorized stops and deviation from the path. In this research, a... 

The integrated battery charger (IBC), made from the combination of a battery charger and the traction propulsion system of EVs is an emerging concept that can save the volume and final cost of battery chargers. As a type of on-board EV battery charger, IBC topology must work with expected performance in two modes of operation separately, charging mode and propulsion mode. In this thesis, to propose new topologies of IBCs, firstly the previous studies relevant to EV battery chargers and their different types have been reviewed. By analysis and investigation of IBC topologies, the principles of integrating battery chargers have been inferred and presented. These principles help us to evaluate... 

With the expansion of knowledge-based economics literature in the last two decades in the country, the analysis and evaluation of the performance of policies applied in this field, especially the concept of innovation and technology ecosystems, is of particular importance. One of the leading branches in this field is the Sharif Innovation District, which is centered on Sharif University of Technology and has always been a important platform for implementing innovative policies in the country. In this research, we analyzed the development of Sharif innovation district. This research is a qualitative research with thematic analysis research method and inductive approach. To carry out the...