Sharif Digital Repository

By continuously measuring blood pressure, we can prevent the irreversible effects of high blood pressure. With the traditional method of using a cuff, it is not possible to measure blood pressure continuously during the day, so for continuous monitoring of blood pressure, it is necessary to use a method without the need for a cuff. Based on previous studies, to estimate blood pressure, Photoplethysmogram and ECG signal features, or temporal and morphological features of Photoplethysmogram signal have been used. In methods that use ECG signals, signal recording is difficult, and methods that use both PPG and ECG signals are even more complex. Using only PPG signals also has its problems.... 

This work presents a modification of deep neural networks for time series analysis. We used kernel layer(s), as a novel approach, at the beginning of the common deep neural networks. These kernels learn based on dynamic time warping (DTW). In each kernel, DTW is calculated between the kernel value and a part of input time series or a part of last layer output (if the kernel is not in the first layer). DTW also gives an alignment path for the input series. This alignment path is used to defining a loss function with the goal of getting better alignment (lower DTW distance) between the kernel and the other input. Besides getting better accuracy on the examined datasets, the other achievement... 

As technology shrinks, the static power consumption is getting worse. Moreover, considering high usage of General-Purpose Graphics Processing Units (GPGPU), reducing the static power of GPGPUs is becoming an important issue. Execution units in GPGPUs are one of the most power hungry units that play an essential role in total power consumption of GPGPUs. On the other hand power gating is a promising method to reduce static power consumption. In this project, we propose a novel method to implement power-gating method for execution units with the negligible performance and power overheads. We utilize out of order execution in intra warp to keep the power-gated resources in off state more than... 

In this thesis, I try to use methods and algorithms of computational linguistics and natural language processing for textual criticism of Persian manuscripts' texts and design and develop a software based on that. Suggested method in this thesis is comparing all manuscripts' texts with base manuscript's text by Dynamic Time Warping (DTW) algorithm, after definition of base manuscript. Then the same sentences are extracted in different manuscripts and POS tagged as body of corpus of author's style and learned as language model by Hidden Markov Model (HMM). At next stage, due to the textual criticism's rules and using of author stylistics algorithms choose the case which is most similar to the... 

Access to global memory is one of the bottlenecks in performance and energy in GPUs. Graphical processors uses multi-thread in streaming multiprocessors to reduce memory access latency. However, due to the high number of concurrent memory requests, the memory bandwidth of low level memorties and the interconnection network are quickly saturated. Recent research suggests that adjacent thread blocks share a significant amount of data blocks. If the adjacent thread blocks are assigned to specific streaming multiprocessor, shared data block can be rused by these thread blocks. However the thread block scheduler assigns adjacent thread blocks to different streaming multiprocessors that increase... 

The objective of this thesis is to develop a speech enhancement technique that can be applied for enhancement of speech degraded by additive background noise. The important aim of speech enhancement is to get better result after transmission at the receiver side. Additive noise such as White Gaussian Noise, Street Noise, Babble Noise, etc, is one of the speech enhancement problems degrading the intelligibility and quality of the signal. The important applications for speech enhancement are VOIP, Telephone services, mobile telephony, hands free voice control, communication between pilot cockpit, etc. Wiener filters are the mostly used techniques to reduce the uncorrelated additive noise with... 

Parkinson’s disease is considered as a progressive neurodegenerative disease that hasn’t any certain treatment. In Iran until 1390, there were about 150 thousand patient struggling with this disease. Rehabilitation is known as an effective treatment to decrease destructive progress of the disease. Because of motional problems of PD patients, it is hard to come to the clinics. So developing remote rehabilitation would be interested by researchers and occupational therapists. Therefore in the recent years, an activity recognition system has been developed in Mowafaghian research center. This system is based on IMU sensors and a NM classifier.These systems are challenging with some problems,... 

Social enterprises are organisations comprised of two conflicting logics: social and commercial. However, simultaneous commitment to both logics often leads to tensions, making social enterprises fragile organisations at the risk of mission drift. The extant literature on hybridity highlights two important overall strategies – integration and differentiation - for managing tensions. However, integration or differentiation alone can create additional problems, which is especially true in the case of differentiation, creating a situation comparable to black and white, with a salient faultline and heated conflicts. In this inductive qualitative case study, responding to the recent call in the... 

Action recognition has a lot of applications in everyday human life. In the past, the researchers concentrated on using RGB frames, but since the advent of 3-dimensional sensors such as Kinect, 3D action recognition drew researchers' attention. Kinect can extract the joints of the body in action as time series. One of the main challenges of action recognition is that different individuals perform an action with various styles and speeds. Hence, the conventional methods such as calculating Euclidean distance seem inappropriate for this task. One solution is to use the techniques such as DTW, which aims to temporal aligning of the sequences. The DTW is not a metric distance; hence, in this...