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A latency-tolerant MAC protocol for underwater acoustic sensor networks
, Article ICCAS 2010 - International Conference on Control, Automation and Systems, 27 October 2010 through 30 October 2010, Gyeonggi-do ; 2010 , Pages 849-854 ; 9781424474530 (ISBN) ; Manzuri, M. T ; Sharif University of Technology
2010
Abstract
Wireless networks with the shared media require Medium Access Control (MAC) protocol that provides contention resolution mechanism. The design of MAC protocol in underwater sensor networks is a challenging issue because of limited energy source and high propagation delay. The most important goal of the MAC design for underwater sensor networks is to resolve data packet collision efficiently with respect to energy consumption. So, selection of MAC protocol is an important task because it has significant impact on the system efficiency. A suitable MAC protocol must consider some factors such as fairness, energy consumption, latency and throughput based on various applications. The bandwidth in...
On the effect of random network coding in GIA-based P2P live video streaming systems
, Article 2010 5th International Symposium on Telecommunications, IST 2010, 4 December 2010 through 6 December 2010 ; 2010 , Pages 657-662 ; 9781424481835 (ISBN) ; Khansari, M ; Rabiee, H. R ; Sharif University of Technology
Abstract
Recently it has been shown that network coding can highly improve the network throughput in the communication systems and specifically increase the downloading performance in P2P networks. This paper presents a new live streaming system for GIA-based P2P networks. In the proposed system the traditional GIA protocol is improved for an efficient use in multimedia applications. We introduce a new mesh-pull layered video streaming framework for GIA-based systems and employ random network coding to improve the network performance. Random network coding algorithm enables each peer to send a single encoded video chunk instead of multiple video blocks toward the destination node and save its...
A 38 pJ/b optimal soft-MIMO detector
, Article IEEE Transactions on Circuits and Systems II: Express Briefs ; Volume 64, Issue 9 , 2017 , Pages 1062-1066 ; 15497747 (ISSN) ; Doostnejad, R ; Mahdavi, M ; Gulak, P. G ; Sharif University of Technology
Abstract
An optimal soft multiple-input multiple-output (MIMO) detector is proposed with linear complexity for a general spatial multiplexing system with two transmitting symbols and NR 2 receiving antennas. The computational complexity of the proposed scheme is independent of the operating signal-to-noise ratio and grows linearly with the constellation order. It provides the soft maximum-likelihood solution using an efficient log-likelihood ratio calculation method, avoiding the exhaustive search on all the candidate nodes. Moreover, an efficient pipelined hardware implementation of the detection algorithm is proposed, which is fabricated and fully tested in a 130-nm CMOS technology. Operating at...
Quantitative in vivo microsampling for pharmacokinetic studies based on an integrated solid-phase microextraction system
, Article Analytical Chemistry ; Volume 79, Issue 12 , 2007 , Pages 4507-4513 ; 00032700 (ISSN) ; Eshaghi, A ; Musteata, F. M ; Ouyang, G ; Pawliszyn, J ; Sharif University of Technology
2007
Abstract
An integrated microsampling approach based on solid-phase microextraction (SPME) was developed to provide a complete solution to highly efficient and accurate pharmacokinetic studies. The microsampling system included SPME probes that are made of poly(ethylene glycol) (PEG) and C18-bonded silica, a fast and efficient sampling strategy with accurate kinetic calibration, and a high-throughput desorption device based on a modified 96-well plate. The sampling system greatly improved the quantitative capability of SPME in two ways. First, the use of the C18-bonded silica/PEG fibers minimized the competition effect from analogues of the target analytes in a complicated sample matrix such as blood...
Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides
, Article Analytical and Bioanalytical Chemistry ; Volume 414, Issue 18 , 2022 , Pages 5297-5308 ; 16182642 (ISSN) ; Fahimi Kashani, N ; Hormozi Nezhada, M. R ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Due to the widespread use of pesticides and their harmful effects on humans and wildlife, monitoring their residual amounts in crops is critically essential but still challenging regarding the development of high-throughput approaches. Herein, a colorimetric sensor array has been proposed for discrimination and identification of triazole fungicides using monometallic and bimetallic silver and gold nanoparticles. Aggregation-induced behavior of AgNPs, AuNPs, and Au-AgNPs in the presence of four triazole fungicides produced a fingerprint response pattern for each analyte. Innovative changes to the metal composition of nanoparticles leads to the production of entirely distinct response patterns...
Whole genome sequencing of SARS-CoV2 strains circulating in Iran during five waves of pandemic
, Article PLoS ONE ; Volume 17, Issue 5 May , 2022 ; 19326203 (ISSN) ; Nejati, A ; Salimi, V ; Jandaghi, N.Z.S ; Sadeghi, K ; Abedi, A ; Zarchi, A. S ; Gouya, M. M ; Mokhtari Azad, T ; Sharif University of Technology
Public Library of Science
2022
Abstract
Purpose Whole genome sequencing of SARS-CoV2 is important to find useful information about the viral lineages, variants of interests and variants of concern. As there are not enough data about the circulating SARS-CoV2 variants in Iran, we sequenced 54 SARS-CoV2 genomes during the 5 waves of pandemic in Iran. Methods After viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq platform. The sequencing data were analyzed and compared with reference sequences. Results During the 1st wave, V and L clades were detected. The second wave was recognized by G, GH and GR clades. Circulating clades during the 3rd...
Multivariate curve resolution-particle swarm optimization: A high-throughput approach to exploit pure information from multi-component hyphenated chromatographic signals
, Article Analytica Chimica Acta ; Volume 772 , 2013 , Pages 16-25 ; 00032670 (ISSN) ; Ebrahimi Najafabadi, H ; Jalali Heravi, M ; Sharif University of Technology
2013
Abstract
Multivariate curve resolution-particle swarm optimization (MCR-PSO) algorithm is proposed to exploit pure chromatographic and spectroscopic information from multi-component hyphenated chromatographic signals. This new MCR method is based on rotation of mathematically unique PCA solutions into the chemically meaningful MCR solutions. To obtain a proper rotation matrix, an objective function based on non-fulfillment of constraints is defined and is optimized using particle swarm optimization (PSO) algorithm. Initial values of rotation matrix are calculated using local rank analysis and heuristic evolving latent projection (HELP) method. The ability of MCR-PSO in resolving the chromatographic...
A novel pipeline architecture of replacing ink drop spread
, Article Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010, 15 December 2010 through 17 December 2010, Kitakyushu ; 2010 , Pages 127-133 ; 9781424473762 (ISBN) ; Bagheri Shouraki, S ; Tabandeh, M ; Mousavi, H. R ; Sharif University of Technology
2010
Abstract
Human Brain is one of the most wonderful and complex systems which is designed for ever; A huge complex network composed of neurons as tiny biological and chemical processors which are distributed and work together as a super parallel system to do control and vital activities of human body. Brain learning simulation and hardware implementation is one of the most interesting research areas in order to make artificial brain. One of the researches in this area is Active Learning Method in brief ALM. ALM is an adaptive recursive fuzzy learning algorithm based on brain functionality and specification which models a complex Multi Input Multi Output System as a fuzzy combination of Single Input...
Joint approximate diagonalization of eigenmatrices as a high-throughput approach for analysis of hyphenated and comprehensive two-dimensional gas chromatographic data
, Article Journal of Chromatography A ; Volume 1524 , 2017 , Pages 188-201 ; 00219673 (ISSN) ; Parastar, H ; Sharif University of Technology
Abstract
The objective of the present work is development of joint approximate diagonalization of eigenmatrices (JADE) as a member of independent component analysis (ICA) family, for the analysis of gas chromatography-mass spectrometry (GC–MS) and comprehensive two-dimensional gas chromatography-mass spectrometry (GC × GC–MS) data to address incomplete separation problem occurred during the analysis of complex sample matrices. In this regard, simulated GC–MS and GC × GC–MS data sets with different number of components, different degree of overlap and noise were evaluated. In the case of simultaneous analysis of multiple samples, column-wise augmentation for GC–MS and column-wise super-augmentation...
Green chemistry and coronavirus
, Article Sustainable Chemistry and Pharmacy ; Volume 21 , 2021 ; 23525541 (ISSN) ; Rabiee, N ; Fatahi, Y ; Hooshmand, S. E ; Bagherzadeh, M ; Rabiee, M ; Jajarmi, V ; Dinarvand, R ; Habibzadeh, S ; Saeb, M. R ; Varma, R. S ; Shokouhimehr, M ; Hamblin, M. R ; Sharif University of Technology
Elsevier B.V
2021
Abstract
The novel coronavirus pandemic has rapidly spread around the world since December 2019. Various techniques have been applied in identification of SARS-CoV-2 or COVID-19 infection including computed tomography imaging, whole genome sequencing, and molecular methods such as reverse transcription polymerase chain reaction (RT-PCR). This review article discusses the diagnostic methods currently being deployed for the SARS-CoV-2 identification including optical biosensors and point-of-care diagnostics that are on the horizon. These innovative technologies may provide a more accurate, sensitive and rapid diagnosis of SARS-CoV-2 to manage the present novel coronavirus outbreak, and could be...
Green chemistry and coronavirus
, Article Sustainable Chemistry and Pharmacy ; Volume 21 , 2021 ; 23525541 (ISSN) ; Rabiee, N ; Fatahi, Y ; Hooshmand, S. E ; Bagherzadeh, M ; Rabiee, M ; Jajarmi, V ; Dinarvand, R ; Habibzadeh, S ; Saeb, M. R ; Varma, R.S ; Shokouhimehr, M ; Hamblin, M. R ; Sharif University of Technology
Elsevier B.V
2021
Abstract
The novel coronavirus pandemic has rapidly spread around the world since December 2019. Various techniques have been applied in identification of SARS-CoV-2 or COVID-19 infection including computed tomography imaging, whole genome sequencing, and molecular methods such as reverse transcription polymerase chain reaction (RT-PCR). This review article discusses the diagnostic methods currently being deployed for the SARS-CoV-2 identification including optical biosensors and point-of-care diagnostics that are on the horizon. These innovative technologies may provide a more accurate, sensitive and rapid diagnosis of SARS-CoV-2 to manage the present novel coronavirus outbreak, and could be...
Dna-Rna hybrid (R-loop): From a unified picture of the mammalian telomere to the genome-wide profile
, Article Cells ; Volume 10, Issue 6 , 2021 ; 20734409 (ISSN) ; Sharifi Zarchi, A ; Kianmehr, L ; Sharif University of Technology
MDPI
2021
Abstract
Local three-stranded DNA/RNA hybrid regions of genomes (R-loops) have been detected either by binding of a monoclonal antibody (DRIP assay) or by enzymatic recognition by RNaseH. Such a structure has been postulated for mouse and human telomeres, clearly suggested by the identification of the complementary RNA Telomeric repeat-containing RNA “TERRA”. However, the tremendous disparity in the information obtained with antibody-based technology drove us to investigate a new strategy. Based on the observation that DNA/RNA hybrids in a triplex complex genome co-purify with the double-stranded chromosomal DNA fraction, we developed a direct preparative approach from total protein-free cellular...