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    Commonsense knowledge extraction for persian language: a combinatory approach

    , Article Iranian Journal of Information Processing Management ; Volume 31, Issue 1 , 2015 , Pages 109-124 ; 22518223 (ISSN) Moradi, M ; Vazirnezhad, B ; Bahrani, M ; Sharif University of Technology
    Iranian Research Institute for Scientific Information and Documentation  2015
    Abstract
    The Putting human commonsense knowledge into computers has always been a long standing dream of artificial intelligence (AI). The cost of several tens of millions of dollars and time have been covered so that the computers could know about "objects falling, not rising.", "running is faster than walking". The large database was built, automated and semi-automated methods were introduced and volunteers' efforts were utilized to achieve this, but an automated, high-throughput and low-noise method for commonsense collection still remains as the holy grail of AI. The aim of this study was to build commonsense knowledge ontology using three approaches namely Hearst method, machine translation and... 

    STABILITY AND INTERACTION ANALYSIS OF GRID-FORMING TYPE IV WIND TURBINES

    , Article IET Conference Proceedings ; Volume 2024, Issue 16 , 2024 , Pages 588-595 ; 27324494 (ISSN) Udawatte, H. E ; Ravanji, M. H ; Bahrani, B ; Sharif University of Technology
    2024
    Abstract
    The global shift to renewable energy, especially wind power, is critical for achieving carbon-neutral power systems but poses challenges to grid stability due to reduced system inertia from inverter-based resources. Grid-forming (GFM) control modes are emerging as key solutions to these stability issues. Given the vast potential of wind energy, ensuring that wind turbine generators (WTGs) comply with GFM control standards is essential. This paper explores GFM capabilities in Type IV WTGs, focusing on the interactions between grid-side and machine-side control dynamics. A simplified small-signal model is developed to efficiently analyse the direct coupling between active power and DC-link... 

    Comparative analysis of the power output capabilities of grid-following and grid-forming inverters considering static, dynamic, and thermal limitations

    , Article IEEE Transactions on Power Systems ; Volume 39, Issue 2 , 2024 , Pages 2693-2705 ; 08858950 (ISSN) Ravanji, M.H ; Zhou, W ; Mohammed, N ; Bahrani, B ; Sharif University of Technology
    IEEE  2024
    Abstract
    This article investigates the maximum transferable power (MTP) of inverter-based resources (IBRs) and provides the output capability curves (OCCs) of grid-tied grid-following inverters (GFLIs) and grid-forming inverters (GFMIs). To this end, in the first part of the article, mathematical equations for GFLI static, thermal, and phase-locked loop (PLL)-induced power transfer limits are derived in terms of the grid short-circuit ratio (SCR) and its X/R ratio. Then, considering other operational limitations, such as the IBR AC- and DC-side voltage limits, the OCC of the GFLI is obtained. Additionally, the impact of the reactive current and the reactive control mode on the OCC is further studied,... 

    Segmental HMM-based part-of-speech tagger

    , Article 2010 International Conference on Audio, Language and Image Processing, ICALIP 2010, Shanghai, 23 November 2010 through 25 November 2010 ; 2010 , Pages 52-56 ; 9781424458653 (ISBN) Bokaei, M. H ; Sameti, H ; Bahrani, M ; Babaali, B ; Sharif University of Technology
    2010
    Abstract
    This paper presents a solution in order to solve the problem of using HMM-based POS tagger in some languages where a word can be comprised of several tokens. Viterbi algorithm is modified in order to support segment of words within a model state. In the other word, the proposed system has a built-in tokenizer where indicates words boundaries as well as its corresponding tag sequence  

    Enhanced frequency control for power-synchronized pll-less grid-following inverters

    , Article IEEE Open Journal of the Industrial Electronics Society ; Volume 4 , 2023 , Pages 189-204 ; 26441284 (ISSN) Mohammed, N ; Ravanji, M. H ; Zhou, W ; Bahrani, B ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    This article presents an enhanced power-synchronized grid-following inverter (ePSGFLI) for reliable and stable integration of renewable energy resources into the grid. By eliminating the use of a phase-locked loop (PLL) in the control loop, the ePSGFLI resolves instability issues commonly associated with conventional PLL-based grid-following inverters (GFLIs). Furthermore, in contrast to existing PLL-less strategies like linear parameter-varying control of power-synchronized GFLI (LPV-PSGFLI), which suffer from steady-state errors and instability during grid frequency deviations, the proposed ePSGFLI ensures stable performance without steady-state errors, regardless of the strength of the... 

    Rapid admittance measurement of power converters using Double-PLL grid-following inverters

    , Article IEEE Transactions on Power Delivery ; Volume 39, Issue 3 , 2024 , Pages 1407-1419 ; 08858977 (ISSN) Zhou, W ; Ravanji, M. H ; Mohammed, N ; Bahrani, B ; Sharif University of Technology
    2024
    Abstract
    The increasing use of inverter-based resources (IBRs) in power systems highlights the need for a deep understanding of their stability and dynamics. Traditional analytical models, limited by the black-box nature of IBRs, underscore the importance of frequency-domain methods through measured admittance. Facing challenges in real-world admittance measurement, such as the absence of ideal voltage or current sources, the use of measurement inverters as perturbation sources has emerged as a promising approach, despite drawbacks like reduced system stability and increased measurement time. This article introduces a novel control strategy for measurement inverters, elucidating the impact of abc/dq... 

    Nevisa, a Persian continuous speech recognition system

    , Article 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, 9 March 2008 through 11 March 2008 ; Volume 6 CCIS , 2008 , Pages 485-492 ; 18650929 (ISSN); 3540899847 (ISBN); 9783540899846 (ISBN) Sameti, H ; Veisi, H ; Bahrani, M ; Babaali, B ; Hosseinzadeh, K ; Sharif University of Technology
    2008
    Abstract
    In this paper we have reviewed Nevisa Persian speech recognition engine. Nevisa is an HMM-based, large vocabulary speaker-independent continuous speech recognition system. Like most successful recognition systems, MFCC with some modification has been used as speech signal features. It also utilizes a VAD based on signal energy and zero-crossing rate. Maximum likelihood estimation criterion the core of which are the classical segmental k-means and Baum-Welsh algorithms is used for training the acoustic models. The system is based on phoneme modeling and utilizes synchronous beam search based on lexicon tree for decoding the acoustic utterances. Language modeling for Persian has been... 

    Transient stability analysis of virtual synchronous generator equipped with quadrature-prioritized current limiter

    , Article IEEE Transactions on Power Electronics ; Volume 38, Issue 9 , 2023 , Pages 10547-10553 ; 08858993 (ISSN) Me, S. P ; Ravanji, M. H ; Leonardi, B ; Ramasubramanian, D ; Ma, J ; Zabihi, S ; Bahrani, B ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    A current limiter (CL), which protects virtual synchronous generators (VSGs) from overcurrents, may significantly alter the operation of the VSGs when activated. In this letter, a transient stability analysis of VSGs equipped with quadrature (q-)prioritized CL is performed. This study shows that in addition to the instability caused by the positive feedback of the primary controller, a VSG could become unstable after large disturbances due to the failure of the inner voltage controller. In this study, a stability criterion is provided for the voltage control loop. © 1986-2012 IEEE  

    Transient stability analysis of power-synchronized PLL-Less grid-following inverters

    , Article IEEE Transactions on Energy Conversion ; Volume 39, Issue 3 , 2024 , Pages 1851-1864 ; 08858969 (ISSN) Mansour, M. Z ; Mohammed, N ; Ravanji, M. H ; Karimi, A ; Bahrani, B ; Sharif University of Technology
    2024
    Abstract
    In the realm of modern power systems, grid-connected inverters are essential for integrating renewable energy resources. While grid-following inverters (GFLIs) currently dominate the market, grid-forming inverters (GFMIs) are pivotal for technology future power systems. Furthermore, recent research emphasizes the advantages of power-synchronized GFLIs (PSGFLIs), which combine the reliable operation of conventional GFLIs in strong grids with the stability of GFMIs in weak grids. This paper presents a comprehensive analysis of transient angle stability for a specific variant of PSGFLI, referred to as the linear parameter-varying control PSGFLI (LPV-PSGFLI). First, a nonlinear dynamic model... 

    Transient stability of paralleled virtual synchronous generator and grid-following inverter

    , Article IEEE Transactions on Smart Grid ; Volume 14, Issue 6 , 2023 , Pages 4451-4466 ; 19493053 (ISSN) Me, S. P ; Ravanji, M. H ; Zarif Mansour, M ; Zabihi, S ; Bahrani, B ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    The majority of inverter-based resources (IBRs) currently operate as grid-following inverters (GFLIs). However, these inverters exhibit certain stability issues when integrated in low-strength areas of the grid. To enhance the grid strength in a GFLI-dominant area, virtual synchronous generators (VSGs) can be installed. If the VSG and the GFLI are investigated as a paralleled system, despite the benefits brought by the VSG, in some cases, the transient angle instability process, caused by a voltage sag, is accelerated, making the whole system more prone to instability. Therefore, this paper aims to study the transient angle stability of a paralleled VSG-GFLI system via investigating the... 

    A new bigram-PLSA language model for speech recognition

    , Article Eurasip Journal on Advances in Signal Processing ; Volume 2010 , July , 2010 ; 16876172 (ISSN) Bahrani, M ; Sameti, H ; Sharif University of Technology
    2010
    Abstract
    A novel method for combining bigram model and Probabilistic Latent Semantic Analysis (PLSA) is introduced for language modeling. The motivation behind this idea is the relaxation of the bag of words assumption fundamentally present in latent topic models including the PLSA model. An EM-based parameter estimation technique for the proposed model is presented in this paper. Previous attempts to incorporate word order in the PLSA model are surveyed and compared with our new proposed model both in theory and by experimental evaluation. Perplexity measure is employed to compare the effectiveness of recently introduced models with the new proposed model. Furthermore, experiments are designed and... 

    Introducing a Hybrid Language Model for Improving Performance of Continuous Speech Recognition Systems

    , Ph.D. Dissertation Sharif University of Technology Bahrani, Mohammad (Author) ; Sameti, Hossein (Supervisor)
    Abstract
    The utilizing language model is one of the most effective methods for improving speech recognition performance. For speech recognition applications, several types of language models have been proposed for speech recognition applications that try to model some parts of language information, such as n-gram models, syntactic models, and semantic models. Although n-gram, syntactic and semantic models are able to model different structures that exist in natural language, they each only capture specific linguistic phenomena. None of them can simultaneously take into account all of language phenomena in a unified probabilistic framework. Recently, a number of semantic models called "latent topic... 

    Persian Abstractive Summarization using Graph-based Abstract Meaning Representation

    , M.Sc. Thesis Sharif University of Technology Haddadan, Shohreh (Author) ; Bahrani, Mohammad (Supervisor)
    Abstract
    This study attempts to introduce a novel approach to abstractive summarization in Persian. According to the methodology the first step is to represent input text sentences into an abstract meaning representation structure. This representation is syntax free thus, it helps the summarization system to represent sentences more semantic based and free of the sentence syntactic structure. In order to select suitable content for the summary output semantic and structural features are extracted from the representation. Data used in this research consists of approximatelty 200 senctences summarized in 30 sentences of a famous story book named: ”The little prince”. An SVM is trained on 80% of... 

    Pronoun Resolution with Data Driven Approaches

    , M.Sc. Thesis Sharif University of Technology Nourbakhsh, Aria (Author) ; Bahrani, Mohammad (Supervisor)
    Abstract
    Pronoun resolution is one of the challenges of natural language processing. The proposed solutions range from heuristic rule-based to machine learning data driven approaches. In this thesis, we followed a previous machine learning base work to Persian pronoun anaphora resolution. The primary goal of this thesis was to improve results, mainly by extracting more balanced data and to add more features to the extracted feature vectors used in classification. Using PCAC2008 dataset, we considered noun phrase structure as a way to extract more suitable training data. Features added to the extracted data include syntactic and semantic features. Then, we trained and tested different machine learning... 

    Question Processing for Open Domain Persian Question Answering Systems

    , M.Sc. Thesis Sharif University of Technology Hosseini, Hawre (Author) ; Bahrani, Mohammad (Supervisor)
    Abstract
    Question answering systems are systems which get a question in natural language as input and present an explicit, appropriate answer to the question. One of the major components of automatic question answering systems is question processing component in which the input question is analyzed. The main goal of question processing phase is to determine the answer type through question classification. Rule-based, machine learning-based and hybrid approaches have been used in order to develop question classifiers among which machine learning-based ones have outperformed the others. This study’s main goal is to develop a question classifier for Persian open domain question answering systems.... 

    Rule-Based Conversion of Colloquial Texts into Official Texts in Persian

    , M.Sc. Thesis Sharif University of Technology Rajabpur, Mohammad (Author) ; Bahrani, Mohammad (Supervisor)
    Abstract
    In this study, first a set of data was colleted which consisted of colloquial sentences in Persian. Each of these sentences was rendered into standard Persian by native speakers. As a result, a corpus of parallel data including 1698 pairs of sentences was created. Then each colloquial sentence and its formal equivalent were converted into term-frequency vectors and the cosine distance similarity between the two vectors was calculated. Besides the mean and the standard deviation of all cosine distances were obtained. Afterwards the whole set of data was divided into two halves through Stratified randomization so that the two halves resembled each other in terms of cosine distance similarity.... 

    Automatic Author Age Identification Using Social Media Texts

    , M.Sc. Thesis Sharif University of Technology Askari, Maryam (Author) ; Bahrani, Mohammad (Supervisor)
    Abstract
    The most common form of communication on the internet and social network websites is text messages. normally communication on social media or even on the web is by posting some sort of text. usually, these messages or posts are short and text used in them may not follow any language standards, this makes it very difficult to process them. Different age groups use a certain language differently and this is shown in the way, each of them writes texts. The advancements made in the field of natural language processing and computational linguistics makes it possible to predict, text authors age groups by analyzing the way they write. This study focuses on ways to automatically recognize the age... 

    Quantum Key Distribution in Quantum Networks

    , Ph.D. Dissertation Sharif University of Technology Bahrani, Sima (Author) ; Salehi, Jawad (Supervisor)
    Abstract
    With the rapid development of communication technology, the importance of information security is growing daily. Data Encryption, as one of the most important tools of secure communication, has attracted a lot of attention. Most conventional cryptography methods are based on computational complexity assumptions. Hence, they are threatened by computational power enhancements. One of the most important approaches of cryptography that does not have this drawback is quantum cryptography. The unconditional security of this method has been proved by laws of quantum mechanics. One application of quantum cryptography is quantum key distribution that enables secret key exchange between two users. The... 

    Nondetection zone assessment of an active islanding detection method and its experimental evaluation

    , Article IEEE Transactions on Power Delivery ; Volume 26, Issue 2 , 2011 , Pages 517-525 ; 08858977 (ISSN) Bahrani, B ; Karimi, H ; Iravani, R ; Sharif University of Technology
    2011
    Abstract
    This paper analytically determines the nondetection zone (NDZ) of an active islanding detection method, and proposes a solution to obviate the NDZ. The method actively injects a negative-sequence current through the interface voltage-sourced converter (VSC) of a distributed generation (DG) unit, as a disturbance signal for islanding detection. The estimated magnitude of the corresponding negative-sequence voltage at the PCC is used as the islanding detection signal. In this paper, based on a laboratory test system, the performance of the islanding detection method under UL1741 anti-islanding test conditions is evaluated. Then, determining the NDZ of the method and proposing the... 

    Stability analysis and experimental evaluation of a control strategy for islanded operation of distributed generation units

    , Article IEEJ Transactions on Industry Applications ; Volume 131, Issue 8 , 2011 , Pages 1013-1022 ; 09136339 (ISSN) Bahrani, B ; Karimi, H ; Iravani, R ; Sharif University of Technology
    2011
    Abstract
    This paper presents stability analysis of a distributed generation (DG) controller (1), in an islanded mode, based on the Mapping Theorem and the Zero Exclusion Condition, and validates the results based on a laboratory scale experimental setup. The DG unit is interfaced to the host system through a voltage-sourced converter (VSC). The control strategy regulates the load voltage at the desired value in the islanded mode, despite uncertainties in the load parameters. The frequency of the island is controlled in an open loop manner by an internal oscillator. The experimental results show that the controller provides robust voltage control for a wide range of load parameters, and even maintains...