Sharif Digital Repository

According to the principles of the country 20-year outlook charter Iran as a developing nation should be ranked first in economic, scientific and technological status in the region. Productivity improvement in all fields is one of the key essentials for realization of stable economic growth. Construction industry in developing countries contributes a major share of gross domestic product (GDP). It has a crucial bearing on economic growth, therefore enhancement of performance indicators in this industry will result in economic development of the country. This research project has offered a pattern for measuring and analyzing labor and machinery productivity in large scale construction. This... 

The purpose of this study is to investigate the factors that strengthen and inhibit the integration of organizational units in the university environment, specifically the integration of the "support" unit and "human resources" unit, which in this study is called "human capital"unit. In the integration literature, the integration of the two units of support and human capital has been less discussed. In particular, it seems that this issue needs more research in the academic environment with its own characteristics.This is an exploration research with the qualitative method and according to a case study of the Sharif University of Technology. To answer the research questions, several... 

The current thesis argues about employee Performance Appraisal System (PAS) of damavand project which is one of the MAPNA Combined Cycle Power Plant Construction and Development Co (MD-2) projects.A few studies have been done in the field of human resource management in project structure and project-based organizations in comparison with classic organizations structure. the PAS might have a different role in project structure as a function in human resource management.In this research the required data has collected via interview with employees and some top managers of MD-2 Company.and Theme analysis has been used to analyzing the data. this study has described the effect of organizational,... 

In recent years, dialogue generation systems as a branch of natural language text generation have made significant progress. These systems enable human-machine conversations and based on their application, they’re divided into two categories: the goal-oriented, and the open-domain dialogue systems. A goal-oriented dialogue is based on a specific goal, such as the hotel reservation or the product recommendation, while there is no specific topic or goal in the open-domain conversations. This wide coverage of topics in open-domain systems causes some occasional contradictions between utterances. Therefore, preserving dialogue consistency has become a challenge in open-domain dialogue systems.... 

In this study, factors which lead in failures in reengineering processes in project based companies have been investigated. The research used qualitative methods, and finally using theme analysis to identify the main factors.Consequently, the main causes of failure of re-engineering projects have been identified and classified in six basic categories including: organizational leadership, planning, human resources management, mental models causing resistance, culture and organizational climate and communication. That each of these themes includes some subset of the agents it represents. In this study, a suitable pattern for organizations which intend to perform reengineering has been... 

In this thesis, the purpose of the research was to develop a four-wheeled Mobile platform (Lower body) with three degrees of freedom for a humanoid robot upper body which is called RASA. RASA robot was designed and constructed for helping kids who have speech and hearing impairments. The objective was to develop a low-cost and affordable robot as compared to its international models to be used at home or school as a teacher assistant. RASA can help kids to learn signs as fast as possible due to the game-based and entertaining education system. The wheeled base platform consists of a new mechanism with 6 bar linkage for bending robot from the hip to about 60 degrees from a vertical position... 

The design and development process of menu systems has always been a focus of researchers and engineers in the fields of software engineering and human-computer interaction. Considering the large and complex nature of the design space, it is nec- essary to provide automatic methods that aid designers during the design process. In this study, natural language processing is used to investigate the semantic relationship between menu system commands. Users expect related commands to be conveniently located next to each other, and a properly designed interface satisfies this need. As a result of this research, a fast-text-based model is developed that uses the data of past menu systems. In a... 

In this research, we introduce a semi-supervised manifold regularization framework for hu- man pose estimation. Here we aim the three major challenges in discriminative human pose estimation. We utilize the unlabeled data to reduce the need to labeled data and compen- sate for the complexities in the input space. We model the underlying manifold by a nearest neighbor graph. Due to depth ambiguity which is the main challenge in this problem, the true underlying manifold of the data bends and gets too close to itself is some areas which results in poor graph construction. To solve this problem, we argue that the optimal graph is a subgraph of the k-nearest neighbor graph and employ an... 

Human Activity Recognition (HAR) has had tremendous improvements in the field of elderly monitoring and telerehabilitation. An anchor point for HAR systems in telerehabilitation is supervising rehabilitative excercises. For Parkinson’s disease (PD) patients, a group of rehabilitative activities, known as Lee Silverman Voice Treatment-BIG, or LSVT-BIG, have shown to be effective in improving motor performance. Similar to any rehabilitative measure, delivering these activities requires the supervision of an expert or clinician, so that the patient receives proper feedbacks. HAR systems can replace human experts. They can recognize activities and provide the user with proper feedback. HAR... 

Recent researches on productivity in different industries has showed that there is a significant lack of growth of productivity in construction industry among other industries. It means that in other industries by appling the solutions that have been concluded from researches in those industries, the productivity in those industries had a great growth through these years. There have been some researches on the construction industry problems and productivity growth obstacles and some remedies have been suggested. Construction industry despite other industries has great dependency on labor productivity, so with growth in labor productivity we can have great influence on construction projects... 

3D face modeling is currently a popular area in Computer Graphics and Computer Vision. Many techniques have been introduced for this purpose, such as using one or more cameras, 3D scanners, and many other systems of sophisticated hardware with related software. But the main goal is to find a good balance between visual reality and the cost of the system. In this thesis, reconstruction of a 3D human face from a pair of orthogonal views, front face and side face is studied. Unlike many other systems, facial feature points are obtained automatically from two photographs with the help of an Active shape model algorithm for the frontal face and an edge detection algorithm for side view of the... 

Nowadays children’s toys and educational stuff, have been enhanced by technology and they have found capabilities like intelligence. It is obvious that after the period of using smart devices such as phones and tablets, robots and smart robotic tools will be popular. On the other hand, children are willing to use such smart devices. Social robots are smart ones that interact with humans and are not necessarily humanoid. One of the social robots applications is for educational purposes. Many studies have shown that teaching by means of robots has good effects on learning. For example robots have been used for educating autistic children. Moreover, robots have been used for rehabilitation and... 

Natural sciences have philosophical and ideological fundamentals. "The attitude towards human", is one of these philosophic or metaphysical fundamentals of science so that scientists and researchers, attentive or not, take it as a basis for their scientific activities. In the other hand, "the science" also affects "The attitude towards human", and different scientific theories caused various attitudes towards human to take shape. "Renaissance" is one of the most important and sophisticated historical periods of the west`s history, and the changes in this period are among the main basics of entering the modern age. In this thesis, first of all some issues about the fundamentals of the science... 

This research has been surveyed the impact of intermediate skilled and high skilled human labor force on the productivity of manufacturing sectors by the Nelson & Phelps and also Lucas approaches. first model is related to the level of productivity and the second model is related to the growth of it. We has been prepared the needed statistics from the raw figures of iran statistics center. regression analysis has been done on the basis of panel data model by the use of stata software. the results show that not good efficiency to optimize technology factor of Cobb-Douglas model although it shows higher marginal labor productivity of high skilled human labor force. we has proposed some... 

Musculoskeletal abnormalities affect joints and change their range of motion (RoM). Correcting these abnormalities thoroughly depends on the information related to the normal spine movement. Therefore, spine motion analysis can be used as an important tool to distinguish between healthy and patient individuals as well as to determine the intensity of such diseases. Additionally, existing biomechanical models need kinematics data in order to analyze spinal forces. The present study hence aims to measure 3D range of motion of thoracic and lumbar spine using inertial sensors. Their small size, portability, low weight, and relatively low cost make inertial sensors as indispensable tools in... 

Emotions are one of the most important issues which affects daily life and activities. On the other hand, robots play an increasing role in human life and play a fundamental role in meeting our needs. One of these basic roles is empathy and verbal interaction between the robot and human. In this research, participant's emotions were stimulated in two ways: by using OASIS and GAPED image data sets and by instructing the participants to remind about their good or bad memories. During emotional stimulation, EEG signals have been recorded for the training and testing process. The preprocessing of training data includes filtering, removing bad parts of data, removing bad channels and... 

In his book “Groundwork for the Metaphysic of Morals ”, Kant tries to pesent a formula for the supreme pinciple of morality. He ends up introducing three formulae that he thinks are all the same and just pesenting one formula In three different ways. After publishing this book, many criticisms were levelled against both his way of argument and the efficacy of his proposed formulae. In this enquiry, by focusing on the first two chapters of Kant’s book, and by considering the universal law formula and the humanity formula, we try to answer these criticisms. In the way, we make use of the new reading of Kant’s view- the critical reading- proposed by Samuel Kerstein, according to which Kant’s... 

the purpose of this research is to construct the facial image of a person from corresponding DNA. In this problem, we have a set of DNAs and facial images and we want to find the relation between the DNA and the features of facial images.using this relation we can find the facial Image of a person using the DNA. for this purpose we should first extract the features of faces that have the most variation among the population. by studying the feature extraction methods in this field, we borrow the deep neural network method that is used in face recognition fields.we found significant relations between DNA and extracted features from this network. finally using this relation we can predict the... 

Deep learning algorithms combined with supervision rely heavily on labeled data, posing challenges in the data labeling process. Addressing this issue, researchers in the field of machine learning have focused on developing approaches to reduce the dependency on labeled data and improve the efficiency of data collection for labeling purposes. This thesis investigates the training of a classification model using data collected through a human-in-the-loop system. Notably, this research pioneers the application of active learning techniques to differentiate between political and non-political Persian tweets. The dataset introduced in this study is the sole available collection for this specific... 

The human action recognition is one of the most important concepts of computer vision in recent decades. Most of the two dimensional methods in this field are facing serious challenges such as occlusion and missing the third dimension of data. Development of depth sensors has made easy access to tracking people and 3D positions of human body joints. This Thesis proposes a new method of action recognition that utilizes the position of joints obtained by Kinect sensor. The learning stage uses Fisher Linear Discriminant Analysis (LDA) to construct discriminant feature space. Two types of distances, i.e., Euclidean and Mahalanobis, are used for recognizing the states. Also, Hidden Markov Model...