Sharif Digital Repository

The significant increase in data volume makes it difficult to choose from a variety of options. Recommender systems help people choose their priorities in a limited time and facilitate the selection process for users. These systems predict users 'interest in the future by examining users' information and their preferences. Recently, with the significant increase in the number of users, studies in this field have changed so that groups of people with similar priorities are correctly identified and a list of recommendations is provided for each group. Identifying groups and presenting a suggestion list each require high computational cost and are often inefficient. The centrality of nodes will... 

Iranian women spend a lot of times in the kitchen area in order to have good effects on the family. Unfortunately, we see many of them are suffering from body injuries and particularly musculoskeletal disorders in their middle ages. Many factors cause such problems among which awkward postures are mentioned and with identifying these postures, corrective solutions could be proposed.In this study, firstly, relationship of body injuries with working in the kitchen area is considered, awkward postures are identified and expedient actions are suggested. The aim of this study is chosen designing a suitable task chair for kitchen among the proposed solutions. Then, chair specifications are... 

Nowadays, M&S is critical as a powerful tool for human to fight against cancer. Skin cancer is one of the most widespread cancers and melanoma would be the most dangerous kind of it. In cancerous micro-environment, cancer cells interact with vasculature, and compete with normal cells over nutrients. This plays a major role in tumor progression pattern and speed. In recent years, a few multiscale models have been developed considering these phenomena. Such a model provides a platform for future researches, especially in drug effects prediction. A reliable simulation must satisfy the constraints and facts in the real world as much as possible. M&S credibility assessment is a major concern to... 

This study presents an efficient decision making model for tourism services managers. Decisions of bundle pricing and ordering for a perishable multi-product jointly are considered in a multiple period horizon to maximize the expected profit of the firms. The retailer uses bundling strategy for products pricing to give customers discount when buying a bundle of products. The discretionary sales is incorporated which authorizes managers to save inventory for satisfying future demand even if some present demand is lost.
For solving the problem in deterministic case, we apply modified-genetic algorithm and in stochastic case, sequential quadratic programming (SQP), stochastic simulation and... 

Nowadays the number of digital images has largely increased because of progress in internet technology. Management of this volume of data needs an efficient system for browsing, categorizing, and searching the images. The goal of this research is to design a system for automatic annotation of unobserved images for better search in image data bases. Automatic image annotation is a multi-label classification problem with many labels which suggests some words for describing the content of an image. Designing AIA systems faces chanllenges like semantic gap between low level image features and high level human expressions (tags), incompelete tags and imbalance images per tags in the datasets....