Classification of Semi-structured Documents

, M.Sc. Thesis Sharif University of Technology Daraei, Bardia (Author) ; Movaghar Rahimabadi, Ali (Supervisor)

Abstract

Semi-structured documents are a new type of textual documents which has gained a lot of attention nowadays to itself. A specific document modeling for boosting classifiers is needed more than ever which reflects major document specifications. The main goal of this thesis is presenting new adaptive model based on semi-structured documents features. We also aim to use some problem solving approaches such as Statistical approach, Machine Learning and few Algorithmic solutions. In some cases 10% precision optimization can be seen compare to the best approaches available nowadays

Analysis and Simulation Study of Energy Harvesting from Vortex shedding-induced Vibrations Using the Piezoelectric Materials

, M.Sc. Thesis Sharif University of Technology Daraei, Aghil (Author) ; Tabeshpour, Mohammad Reza (Supervisor)

Abstract

Nowadays, energy harvesting from the sea is developing for a variety of applications, including small-scale technologies for the production of small amounts of energy, including the use of low-speed currents to power ocean floor sensors. Ocean floor sensors are currently working with batteries. The cost of replacing or recharging these batteries is high, and the technology of these conventional batteries does not keep up with the rapid development of these sensors. Using new energy harvesting technologies has made the ocean current harvesting system as an adequate replacement for the batteries. According to operating principles, energy harvester can be broadly classified into three general...

A meta user interface for understandable and predictable interaction in AAL

, Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2 August 2015 through 7 August 2015 ; Volume 9194 , July , 2015 , Pages 456-464 ; 03029743 (ISSN) ; 9783319209128 (ISBN) Mostafazadeh, A ; Nazari Shirehjin, A. A ; Daraei, S ; Sharif University of Technology

Springer Verlag 2015

Abstract

The aim of this paper is the design and development of a novel user interface to interact with a meta system. Our focus is rather on interacting with Ambient Intelligence as a whole, which would for example enable users to influence the overall behavior and attributes of dynamic device compositions. We call such interfaces Meta User Interfaces. The design details of a proposed user interface as well as a cognitive walkthrough evaluation are presented in this paper

Towards interacting with smarter systems

, Article Journal of Ambient Intelligence and Humanized Computing ; Volume 9, Issue 1 , February , 2018 , Pages 187-209 ; 18685137 (ISSN) Mostafazadeh Davani, A ; Nazari Shirehjini, A. A ; Daraei, S ; Sharif University of Technology

Springer Verlag 2018

Abstract

The aim of this article is the requirement analysis, design, proof-of-concept implementation and user evaluation of a novel user interface that is specifically developed to support interaction with ambient intelligence systems. The focus of the user interface is rather on interacting with ambient intelligence, a meta system that comes into existence as the result of the coherent behavior and collective intelligence of interconnected smart devices and systems of a domain such as meeting rooms or smart homes. To design the user interface, we conducted an empirical user and task analysis and elaborated requirements, defining the scope of human interaction with ambient intelligence. The captured...

Delay-Aware Routing in Software-Defined Networks by Machine Learning Techniques

, M.Sc. Thesis Sharif University of Technology Siamaki, Mahdi (Author) ; Hemmatyar, Ali Mohammad Afshin (Supervisor) ; Safaei, Bardia (Supervisor)

Abstract

In the complex and dynamic world of today's communication networks, Software-Defined Networking (SDN) with its flexibility and programmability has opened new horizons in network management. These networks, by decoupling the control plane from the data plane, enable centralized and efficient management. Despite these advantages, optimizing routing in these networks remains a significant challenge, and increased latency in SDNs due to centralized processing in the controller and communications between switches and controllers is a critical issue that can severely impact the quality of service. Traditional routing methods face numerous challenges due to their static nature and lack of...

A Mobility-aware Load Balancing Technique to Reduce Makespan in Fog-Enabled Networks

, M.Sc. Thesis Sharif University of Technology Seraj, Yasaman (Author) ; Hemmatyar, Ali Mohammad Afshin (Supervisor) ; Safaei, Bardia (Supervisor)

Abstract

Fog computing is essentially the expansion of cloud computing towards the network edge, reducing user access time to computing resources and services. Various advantages of fog computing, including reduced latency, improve user experience; however, user mobility may limit the benefits of fog computing. By moving users from one location to another, their distance from a fog service and consequently the latency may increase. One solution to maintain latency within an acceptable range is the migration of fog tasks and preserving the distance between the user and available resources. Although some research has been conducted on fog task migration, none of them have considered load balancing in...

Presenting an Energy-efficient Routing Mechanism in VANETs Using Clustering

, M.Sc. Thesis Sharif University of Technology Javadzadeh No, Negar (Author) ; Movaghar Rahimabadi, Ali (Supervisor) ; Safaei, Bardia (Supervisor)

Abstract

Vehicular Ad-Hoc Networks enable communication between vehicles and roadside units over wireless communication channels. These networks have garnered significant attention in industrial and research domains, particularly in areas such as intelligent transportation systems, traffic management, and safety alert dissemination. However, they face numerous computational and communication challenges, including limited bandwidth, high interference rates, latency, and routing inefficiencies. These issues are further exacerbated by the dynamic nature and rapidly changing topology of the network, resulting in unstable communication links. Typically, mobile networks rely on batteries with limited...

Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection

, Article Food Chemistry ; Volume 344 , 2021 ; 03088146 (ISSN) Amirvaresi, A ; Nikounezhad, N ; Amirahmadi, M ; Daraei, B ; Parastar, H ; Sharif University of Technology

Elsevier Ltd 2021

Abstract

In this work, the potential of near-infrared (NIR) and mid-infrared (MIR) spectroscopy along with chemometrics was investigated for authentication and adulteration detection of Iranian saffron samples. First, authentication of one-hundred saffron samples was examined by principal component analysis (PCA). The results showed the NIR spectroscopy can better predict the origin of samples than the MIR. Next, partial least squares-discriminant analysis (PLS-DA) was developed to detect four common plant-derived adulterants (i.e., saffron style, calendula, safflower, and rubia). In all cases, PLS-DA classification figures of merit in terms of sensitivity, specificity, error rate and accuracy were...

A Bio-Inspired Energy-Aware Routing Mechanism for Flying Ad-hoc Networks

, M.Sc. Thesis Sharif University of Technology Chehelmardian, Farnaz (Author) ; Afshin Hemmatyar, Ali Mohammad (Supervisor) ; Safaei, Bardia (Supervisor)

Abstract

Nowadays, adaptable, versatile and flexible nature of Flying ad-hoc Networks (FANETs) make them popular in many academic and practical fields such as real-time applications, civil applications, search and rescue operations, identification and logistics. FANETs are organized multi-UAV systems that can accomplish complex missions through cooperation and collaboration. The unique features of these networks, such as high mobility, low node density, high frequency of topology changes, and three-dimensional flight environment, create various challenges in communication, especially in packet routing. In this type of network, a subset of UAVs connects to the infrastructure, while the remaining UAVs...

A meta user interface for interaction with mixed reality environments

, Article 2015 IEEE International Symposium on Haptic, Audio and Visual Environments and Games, HAVE 2015 - Proceedings, 11 October 2015 ; October , 2015 , Page(s): 1 - 6 ; 9781467391757 (ISBN) Mostafazadeh, A ; Shirehjini, A. A. N ; Daraei, S ; Khojasteh, N ; Shirmohammadi, S ; Sharif University of Technology

Institute of Electrical and Electronics Engineers Inc 2015

Abstract

The aim of this paper is the design and development of a novel user interface to interact with a meta system. Our focus is rather on interacting with Ambient Intelligence as a whole, which would for example enable users to influence the overall behaviors and attributes of dynamic device compositions. We call such interfaces Meta User Interfaces. The design details of a proposed user interface as well as a cognitive walkthrough evaluation are presented in this paper

Combining multivariate image analysis with high-performance thin-layer chromatography for development of a reliable tool for saffron authentication and adulteration detection

, Article Journal of Chromatography A ; Volume 1628 , 2020 Amirvaresi, A ; Rashidi, M ; Kamyar, M ; Amirahmadi, M ; Daraei, B ; Parastar, H ; Sharif University of Technology

Elsevier B.V 2020

Abstract

In this work, high-performance thin-layer chromatography (HPTLC) coupled with multivariate image analysis (MIA) is proposed as a fast and reliable tool for authentication and adulteration detection of Iranian saffron samples based on their HPTLC fingerprints. At first, the secondary metabolites of saffron were extracted using ultrasonic-assisted solvent extraction (UASE) which was optimized using central composite design (CCD). Next, the RGB coordinates of HPTLC images were used for estimation of saffron origin based on principal component analysis (PCA). The PCA scores plot showed that saffron samples were clustered into two clear-cut groups which was 92% matched with the geographical...

Analysis & Enhancement of the Quality of Experience (QoE) for Video Service in LTE/WiFi Heterogeneous Networks

, M.Sc. Thesis Sharif University of Technology Daraei Bafi, Mohammad Reza (Author) ; Ashtiani Mofrad Tehrani, Farid (Supervisor)

Abstract

With the proliferation of mass media such as smartphones and the use of social networks, the exchange of video data between users has increased, and according to forecasts in the coming years we will see significant growth in the amount of this data on mobile networks. In this dissertation, we examine the effect of sending video packets via LTE and WiFi and try to calculate two parameters that affect the quality of experience, namely the probability of interruption and the amount of delay. The modeling results show that if the packets are optimally routed to these two paths, there is about a 15% improvement in the probability of interruption. Sending packets from two separate routes Although...

Development and Application of Pattern Recognition Methods Combined with FT-IR Spectroscopy and HPTLC Techniques to Detect the Type and Amount of Fraud in Iranian Saffron Sample

, M.Sc. Thesis Sharif University of Technology Amirvaresi, Arian (Author) ; Parastar, Hadi (Supervisor) ; Daraei, Bahram (Supervisor) ; Amir Ahmadi, Maryam (Co-Supervisor)

Abstract

Nowadays, with increasing concerns about health of food and its influence on human health,food authenticity has become a vital issue and a major challenge for consumers and regulatory agencies. It's especially remarkable about food with high nutritional and economical value. On the other hand, solving these challenges necessitates the use of fast and reliable techniques.Among the various foods, saffron is the main candidate for food adulteration due to its low production and high economic value and from this viewpoint it's in fourth place. Since the scope of fraud in this food is vast and also Iran is the major producer of saffron in the world,the present project has highlighted the...

Assessment of meat authenticity using portable Fourier transform infrared spectroscopy combined with multivariate classification techniques

, Article Microchemical Journal ; Volume 181 , 2022 ; 0026265X (ISSN) Dashti, A ; Weesepoel, Y ; Müller Maatsch, J ; Parastar, H ; Kobarfard, F ; Daraei, B ; Yazdanpanah, H ; Sharif University of Technology

Elsevier Inc 2022

Abstract

In the present contribution, the feasibility of portable Fourier transform infrared spectroscopy (FTIR) combined with multivariate classification techniques is assessed for classification of minced beef, lamb, chicken and pork samples. In this regard, both attenuated total reflectance-FTIR (ATR-FTIR) and diffuse reflectance-FTIR (DR-FTIR) methods are evaluated. First, principal component analysis (PCA) was used for exploring FT-IR spectra of four meat species to find similarities and dissimilarities among samples. Additionally, one-class classification (OCC) was utilized as a new approach for halal meat species certification. For OCC, two scenarios were defined: (i) 100% correct...

The feasibility of two handheld spectrometers for meat speciation combined with chemometric methods and its application for halal certification

, Article Foods ; Volume 11, Issue 1 , 2022 ; 23048158 (ISSN) Dashti, A ; Müller Maatsch, J ; Weesepoel, Y ; Parastar, H ; Kobarfard, F ; Daraei, B ; Aliabadi, M. H. S ; Yazdanpanah, H ; Sharif University of Technology

MDPI 2022

Abstract

Handheld visible-near-infrared (Vis-NIR) and near-infrared (NIR) spectroscopy can be cost-effective, rapid, non-destructive and transportable techniques for identifying meat species and may be valuable for enforcement authorities, retail and consumers. In this study, a handheld Vis-NIR (400–1000 nm) and a handheld NIR (900–1700 nm) spectrometer were applied to discriminate halal meat species from pork (halal certification), as well as speciation of intact and ground lamb, beef, chicken and pork (160 meat samples). Several types of class modeling multivariate approaches were applied. The presented one-class classification (OCC) approach, especially with the Vis-NIR sensor (95–100% correct...