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information-processing
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Presenting an approach for conducting knowledge architecture within large-scale organizations
, Article PLoS ONE ; Volume 10, Issue 5 , May , 2015 ; 19326203 (ISSN) ; Habibi, J ; Mohaghar, A ; Sharif University of Technology
Public Library of Science
2015
Abstract
Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework...
Optical pattern generator for efficient bio-data encoding in a photonic sequence comparison architecture
, Article PLoS ONE ; Volume 16, Issue 1 January 2021 , 2021 ; 19326203 (ISSN) ; Dijujin, N. H ; Koohi, S ; Sharif University of Technology
Public Library of Science
2021
Abstract
In this study, optical technology is considered as SA issues’ solution with the potential ability to increase the speed, overcome memory-limitation, reduce power consumption, and increase output accuracy. So we examine the effect of bio-data encoding and the creation of input images on the pattern-recognition error-rate at the output of optical Vander-lugt correlator. Moreover, we present a genetic algorithm-based coding approach, named as GAC, to minimize output noises of cross-correlating data. As a case study, we adopt the proposed coding approach within a correlation-based optical architecture for counting k-mers in a DNA string. As verified by the simulations on Salmonella whole-genome,...
Optical pattern generator for efficient bio-data encoding in a photonic sequence comparison architecture
, Article PLoS ONE ; Volume 16, Issue 1 , 2021 ; 19326203 (ISSN) ; Dijujin, N. H ; Koohi, S ; Sharif University of Technology
Public Library of Science
2021
Abstract
In this study, optical technology is considered as SA issues’ solution with the potential ability to increase the speed, overcome memory-limitation, reduce power consumption, and increase output accuracy. So we examine the effect of bio-data encoding and the creation of input images on the pattern-recognition error-rate at the output of optical Vander-lugt correlator. Moreover, we present a genetic algorithm-based coding approach, named as GAC, to minimize output noises of cross-correlating data. As a case study, we adopt the proposed coding approach within a correlation-based optical architecture for counting k-mers in a DNA string. As verified by the simulations on Salmonella whole-genome,...
WalkIm: Compact image-based encoding for high-performance classification of biological sequences using simple tuning-free CNNs
, Article PLoS ONE ; Volume 17, Issue 4 April , 2022 ; 19326203 (ISSN) ; Mohammadi, A ; Koohi, S ; Sharif University of Technology
Public Library of Science
2022
Abstract
The classification of biological sequences is an open issue for a variety of data sets, such as viral and metagenomics sequences. Therefore, many studies utilize neural network tools, as the well-known methods in this field, and focus on designing customized network structures. However, a few works focus on more effective factors, such as input encoding method or implementation technology, to address accuracy and efficiency issues in this area. Therefore, in this work, we propose an image-based encoding method, called as WalkIm, whose adoption, even in a simple neural network, provides competitive accuracy and superior efficiency, compared to the existing classification methods (e.g. VGDC,...
Hammerstein-Wiener model: A new approach to the estimation of formal neural information
, Article Basic and Clinical Neuroscience ; Volume 3, Issue 4 , 2012 , Pages 45-51 ; 2008126X (ISSN) ; Khorsandi, R ; Vosooghi Vahdat, B ; Sharif University of Technology
Abstract
A new approach is introduced to estimate the formal information of neurons. Formal Information, mainly discusses about the aspects of the response that is related to the stimulus. Estimation is based on introducing a mathematical nonlinear model with Hammerstein-Wiener system estimator. This method of system identification consists of three blocks to completely describe the nonlinearity of input and output and linear behaviour of the model. The introduced model is trained by 166 spikes of neurons and other 166 spikes are used to test and validate the model. The simulation results show the R-Value of 92.6 % between estimated and reference information rate. This shows improvement of 1.41 % in...
Overlapped ontology partitioning based on semantic similarity measures
, Article 2010 5th International Symposium on Telecommunications, IST 2010, 4 December 2010 through 6 December 2010 ; 2010 , Pages 1013-1018 ; 9781424481835 (ISBN) ; Rezaeian Delui, A ; Naghibzadeh, M ; Sharif University of Technology
Abstract
Today, public awareness about the benefits of using ontologies in information processing and the semantic web has increased. Since ontologies are useful in various applications, many large ontologies have been developed so far. But various areas like publication, maintenance, validation, processing, and security policies need further research. One way to better tackle these areas is to partition large ontologies into sub partitions. In this paper, we present a new method to partition large ontologies. For the proposed method, three steps are required: (1) transforming an ontology to a weighted graph, (2) partitioning the graph with an algorithm which recognizes the most important concepts,...
Use of second-order calibration for residue screening of some triazines in the presence of coeluting interferences by gas chromatography-selected ion mass spectrometry
, Article Analytica Chimica Acta ; Volume 537, Issue 1-2 , 2005 , Pages 89-100 ; 00032670 (ISSN) ; Vosough, M ; Sharif University of Technology
Elsevier
2005
Abstract
The quantities of residues of some triazines such as prometon, propazine, atrazine and simazine in complex matrices of apple samples were determined, using gas chromatography-selected ion mass (GC-SIM) spectrometry. Generalized rank annihilation method (GRAM) as a second-order calibration technique was used for screening, resolving and finally determining the amounts of the residues. Before the GRAM analysis, different steps of data preprocessing such as background correction, de-skewing and standardization for rank alignment was used for every target analyte. The de-skewing and rank alignment algorithms were used for bilinearity and trilinearity corrections, respectively. The two data...
Inherently safer process route ranking index (ISPRRI) for sustainable process design
, Article Journal of Loss Prevention in the Process Industries ; Volume 80 , 2022 ; 09504230 (ISSN) ; Shariff, A. M ; Buang, A ; Umer, A ; Zaini, D ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The growth of process industries has escalated the probability of loss containment scenarios of hazardous materials that can be tackled via process safety schemes. For preliminary design stage, the inherent scheme is more promising to generate sustainable process designs. For this purpose, various process routes are typically compared to recognize the safer one via numerous indexing methods to eliminate routes with hazardous materials. However, these indices lack in accommodating the equipment characteristics and the underutilization of process and chemical characteristics. Specifically for chemical characteristics, the toxicity aspect has not been engaged for process route selection in...
A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm
, Article Scientific Reports ; Volume 12, Issue 1 , 2022 ; 20452322 (ISSN) ; Saghari, S ; Tavakoli, S ; Rostami, P ; Abaszadeh, M ; Mirzadeh, F ; Satlsar, E. S ; Gheidishahran, M ; Gorgi, F ; Mohammadi, S ; Hosseini, R ; Sharif University of Technology
Nature Research
2022
Abstract
Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in the evaluation of well-being in individuals and the diagnosis and prognosis of hematologic diseases. For example, some blood disorders and immune system-related diseases are diagnosed by the differential count of white blood cells, which is one of the common laboratory tests. Data is one of the most important ingredients in the development and testing of many commercial and successful automatic or semi-automatic systems. To this end, this study introduces a free access dataset of normal peripheral white blood cells called Raabin-WBC containing about 40,000 images of white blood cells and color...
Quantum Information Processing with NMR Spectroscopy
, M.Sc. Thesis Sharif University of Technology ; Raeisi, Sadegh (Supervisor)
Abstract
Quantum Information Processing (QIP) is one of the active areas of research in both theoretical and experimental physics. Any experimental technique that is used for a scalable implementation of QIP must satisfy DiVincenzo’s criteria [17]. Nuclear Magnetic Resonance (NMR) satisfies many of these conditions, but it is not scalable and cannot initialize the qubits to pure state [28]. NMR can be a great platform for studying the fundamentals of QIP. In this project, for a twoqubit system, we prepare pseudo pure states from the initial mixed states by using unitary operations and implement CNOT gates. According to the results of our experiments, we can apply all the gates with high fidelity....
Patients' attitudes towards the role of dentists in tobacco cessation counselling after a brief and simple intervention [Attitudes des patients vis-à-vis du rôle des dentistes en matière de conseils dans le sevrage tabagique après une intervention simple et brève]
, Article Eastern Mediterranean Health Journal ; Vol. 20, issue. 2 , 2014 , p. 82-89 ; Homayoun, A ; Lando, H. A ; Haghpanah, F ; Khoshnevisan, M. H ; Sharif University of Technology
Abstract
Dental professionals are in a unique position to promote smoking cessation among their patients. We evaluated the effects of a brief counselling intervention by a dentist on patients' attitude towards the role of dentists in tobacco cessation programmes. In a semi-experimental study in Tehran, Islamic Republic of Iran, 70 eligible smokers were selected and randomly assigned to intervention and control groups. The initial attitudes of the patients regarding tobacco cessation counselling services provided by the dentist were determined using a validated questionnaire. The intervention group received a brief chair-side counselling by a dentist based on the 5 A's approach, while no intervention...
Prevalence of smoking in 15-64 years old population of North of Iran: Meta-analysis of the results of non-communicable diseases risk factors surveillance system
, Article Acta Medica Iranica ; Volume 51, Issue 7 , 2013 , Pages 494-500 ; 00446025 (ISSN) ; Moosazadeh, M ; Masouleh, M. F ; Kiani, A ; Fakhri, M ; Sharif University of Technology
2013
Abstract
Smoking is known as a major cause of chronic obstructive pulmonary disease (COPD) and hence immediate and effective interventions are required for its elimination. This study aimed to collect valid data with regard to cigarette smoking in adult population of north of Iran for policy making by a meta-analysis of the documents of national non-communicable disease risk factors surveillance system. We investigated relevant evidences by searching in published and non-electronic databases. Data were extracted based on variables such as year of the study, sex, age group and prevalence of smoking habit. Based on results of heterogeneity, we applied fixed or random effects model to estimate the...
Learning low-rank kernel matrices for constrained clustering
, Article Neurocomputing ; Volume 74, Issue 12-13 , 2011 , Pages 2201-2211 ; 09252312 (ISSN) ; Shouraki, S. B ; Sharif University of Technology
2011
Abstract
Constrained clustering methods (that usually use must-link and/or cannot-link constraints) have been received much attention in the last decade. Recently, kernel adaptation or kernel learning has been considered as a powerful approach for constrained clustering. However, these methods usually either allow only special forms of kernels or learn non-parametric kernel matrices and scale very poorly. Therefore, they either learn a metric that has low flexibility or are applicable only on small data sets due to their high computational complexity. In this paper, we propose a more efficient non-linear metric learning method that learns a low-rank kernel matrix from must-link and cannot-link...
Novel class detection in data streams using local patterns and neighborhood graph
, Article Neurocomputing ; Volume 158 , June , 2015 , Pages 234-245 ; 09252312 (ISSN) ; Beigy, H ; Kamali Siahroudi, S ; Sharif University of Technology
Elsevier
2015
Abstract
Data stream classification is one of the most challenging areas in the machine learning. In this paper, we focus on three major challenges namely infinite length, concept-drift and concept-evolution. Infinite length causes the inability to store all instances. Concept-drift is the change in the underlying concept and occurs in almost every data stream. Concept-evolution, in fact, is the arrival of novel classes and is an undeniable phenomenon in most real world data streams. There are lots of researches about data stream classification, but most of them focus on the first two challenges and ignore the last one. In this paper, we propose new method based on ensembles whose classifiers use...
A novel laparoscopic grasper with two parallel jaws capable of extracting the mechanical behaviour of soft tissues
, Article Journal of Medical Engineering and Technology ; Volume 41, Issue 5 , 2017 , Pages 339-345 ; 03091902 (ISSN) ; Farahmand, F ; Mirbagheri, A ; Afshari, E ; Sharif University of Technology
Taylor and Francis Ltd
2017
Abstract
Data related to force-deformation behaviour of soft tissue plays an important role in medical/surgical applications such as realistically modelling mechanical behaviour of soft tissue as well as minimally invasive surgery (MIS) and medical diagnosis. While the mechanical behaviour of soft tissue is very complex due to its different constitutive components, some issues increase its complexity like behavioural changes between the live and dead tissues. Indeed, an adequate quantitative description of mechanical behaviour of soft tissues requires high quality in vivo experimental data to be obtained and analysed. This paper describes a novel laparoscopic grasper with two parallel jaws capable of...
Kernel sparse representation based model for skin lesions segmentation and classification
, Article Computer Methods and Programs in Biomedicine ; Volume 182 , 2019 ; 01692607 (ISSN) ; Mahdavi Amiri, N ; Sharif University of Technology
Elsevier Ireland Ltd
2019
Abstract
Background and Objectives: Melanoma is a dangerous kind of skin disease with a high death rate, and its prevalence has increased rapidly in recent years. Diagnosis of melanoma in a primary phase can be helpful for its cure. Due to costs for dermatology, we need an automatic system to diagnose melanoma through lesion images. Methods: Here, we propose a sparse representation based method for segmentation and classification of lesion images. The main idea of our framework is based on a kernel sparse representation, which produces discriminative sparse codes to represent features in a high-dimensional feature space. Our novel formulation for discriminative kernel sparse coding jointly learns a...
Capturing single-cell heterogeneity via data fusion improves image-based profiling
, Article Nature Communications ; Volume 10, Issue 1 , 2019 ; 20411723 (ISSN) ; Abbasi, H. S ; Singh, S ; Carpenter, A. E ; Sharif University of Technology
Nature Publishing Group
2019
Abstract
Single-cell resolution technologies warrant computational methods that capture cell heterogeneity while allowing efficient comparisons of populations. Here, we summarize cell populations by adding features’ dispersion and covariances to population averages, in the context of image-based profiling. We find that data fusion is critical for these metrics to improve results over the prior alternatives, providing at least ~20% better performance in predicting a compound’s mechanism of action (MoA) and a gene’s pathway. © 2019, The Author(s)
A novel hybrid BCI speller based on RSVP and SSVEP paradigm
, Article Computer Methods and Programs in Biomedicine ; Volume 187 , April , 2020 ; Hajipour Sardouie, S ; Mijani, A ; Sharif University of Technology
Elsevier Ireland Ltd
2020
Abstract
Background and objective: Steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) are useful methods in the brain-computer interface (BCI) systems. Hybrid BCI systems that combine these two approaches can enhance the proficiency of the P300 spellers. Methods: In this study, a new hybrid RSVP/SSVEP BCI is proposed to increase the classification accuracy and information transfer rate (ITR) as compared with the other RSVP speller paradigms. In this paradigm, RSVP (eliciting a P300 response) and SSVEP stimulations are presented in such a way that the target group of characters is identified by RSVP stimuli, and the target character is recognized by SSVEP stimuli....
RCTP: Regularized common tensor pattern for rapid serial visual presentation spellers
, Article Biomedical Signal Processing and Control ; Volume 70 , September , 2021 ; 17468094 (ISSN) ; Hajipour Sardouie, S ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Common Spatial Pattern (CSP) is a powerful feature extraction method in brain-computer interface (BCI) systems. However, the CSP method has some deficiencies that limit its beneficiary. First, this method is not useful when data is noisy, and it is necessary to have a large dataset because CSP is inclined to overfit. Second, the CSP method uses just the spatial information of the data, and it cannot incorporate the temporal and spectral information. In this paper, we propose a new CSP-based algorithm which is capable of employing the information in all dimensions of data. Also, by defining the regularization term for each mode of information, we can diminish the noise effects and overfitting...
Environmental study on discharged wastewater of Albourz Industrial City
, Article Iranian Journal of Public Health ; Volume 34, Issue 1 , 2005 , Pages 62-68 ; 22516085 (ISSN) ; Asghari, S ; Sharif University of Technology
Iranian Journal of Public Health
2005
Abstract
The treatment facility of Albourz Industrial City was established in 1999 at the southeast of Albourz Mountain with an area of 200,000 square meters. Currently, 40,000 cubic meters of industrial wastes are treated daily utilizing biological method of activated sludge up to the second phase without chlorination in this treatment facility. Then, the discharged wastes are directed toward the lower agricultural lands. The environmental status of the region was investigated by testing the impact of wastewater and agricultural products in four tries. In two tries, the levels of COD and BOD were higher than the environmental standards, but there was no trace of heavy metal contamination in any of...