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    A unimodal person authentication system based on signing sound

    , Article Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012 ; 2012 , Pages 152-154 ; 9781457721779 (ISBN) Khazaei, D ; Maghooli, K ; Afdideh, F ; Azimi, H ; Sharif University of Technology
    IEEE  2012
    Person authentication based on only the name, password or person identification number is not secured enough. In recent years researchers have focused on human physiological and behavioral parameters, because these parameters are more unique and human-specific than traditional ones. This approach of person authentication is usually called biometric authentication. Signature is the most commonly used behavioral biometric which is investigated in two ways of online and offline by researchers. In online procedure, the temporal indices of signature such as signing velocity, and acceleration are involved to increase the accuracy relative to offline methods and to recognize counterfeit signatures.... 

    Active distance-based clustering using k-medoids

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 19 April 2016 through 22 April 2016 ; Volume 9651 , 2016 , Pages 253-264 ; 03029743 (ISSN) ; 9783319317526 (ISBN) Aghaee, A ; Ghadiri, M ; Soleymani Baghshah, M ; Sharif University of Technology
    Springer Verlag  2016
    k-medoids algorithm is a partitional, centroid-based clustering algorithm which uses pairwise distances of data points and tries to directly decompose the dataset with n points into a set of k disjoint clusters. However, k-medoids itself requires all distances between data points that are not so easy to get in many applications. In this paper, we introduce a new method which requires only a small proportion of the whole set of distances and makes an effort to estimate an upperbound for unknown distances using the inquired ones. This algorithm makes use of the triangle inequality to calculate an upper-bound estimation of the unknown distances. Our method is built upon a recursive approach to... 

    Evaluation of Distance-Based Auto Insurance Contracts

    , M.Sc. Thesis Sharif University of Technology Zand, Mohammad (Author) ; Samimi, Amir (Supervisor)
    Auto insurance premiums are currently part of car ownership fixed costs in Iran. As driver behavior and driven distance, in spite of their significant impact on driver’s risk, are not considered in these costs. Distance-based models are introduced to enter usage costs to premium calculations and affect drivers’ behavior. Achieving benefits of this plan demands evaluation of profits and implementing costs of it. This research aims to provide guidelines to influence drivers’ behavior alongside with studying the distance-based insurance market in Iran. Required data collected using a field survey in Tehran car technical inspection centers, by representing four different plans to 980... 

    Distance-based segmentation: An energy-efficient clustering hierarchy for wireless microsensor networks

    , Article CNSR 2007: 5th Annual Conference on Communication Networks and Services Research, Fredericton, NB, 14 May 2007 through 17 May 2007 ; 2007 , Pages 18-25 ; 076952835X (ISBN); 9780769528359 (ISBN) Amini, N ; Fazeli, M ; Miremadi, S. G ; Manzuri, M. T ; Sharif University of Technology
    This paper presents an energy-efficient communication protocol which distributes a uniform energy load to the sensors in a wireless microsensor network. This protocol, called Distance-Based Segmentation (DBS), is a clusterbased protocol that divides the entire network into equalarea segments and applies different clustering policies to each segment to reduce total energy dissipation and hence prolong the lifetime of the network. To evaluate the DBS protocol, a simulator was implemented using the MATLAB software. Simulation results show that the DBS can achieve as much as 16% reduction in total dissipated energy as compared with conventional protocols. In addition this protocol is able to... 

    Speaker Diarization in Adverse Conditions

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Hamid Reza (Author) ; Sameti, Hossein (Supervisor)
    The goal of a speaker diarization system is to detect the number of speakers of a conversation and also assign each segment of the conversation to one of the speakers. In these types of systems it is assumed that the identity of the speakers is completely unknown. Usually speaker diarization systems operate in an offline mode. The system assumes that it does have the whole conversation at hand and then it starts processing the conversation. This method is effective for applications like spoken document retrieval, but it is not applicable to speech/speaker recognition systems which require online operating. In this dissertation, an online speaker diarization system is implemented. This... 

    Urine Analysis by a Microfluidic Paper-Based Device for Renal Function Test

    , M.Sc. Thesis Sharif University of Technology Pourghanbari Marvast, Mohadeseh (Author) ; Saadatmand, Maryam (Supervisor)
    Chronic kidney disease is one of the silent diseases that progresses slowly, often without symptoms, and can eventually lead to kidney loss. Early detection of this disease can help diagnose it and prevent further problems. Urinary creatinine is an effective biomarker for early diagnosis of chronic kidney disease, but methods available in clinics are problematic for people living in disadvantaged areas because of the high cost and the need for 24-hour urine collection. Currently, paper-based microfluidic devices are being developed because they are easy to manufacture, inexpensive, the fluid is permeable by capillary force, and no additional equipment is needed. In this work, to fabricate a... 

    KNNDIST: A non-parametric distance measure for speaker segmentation

    , Article 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 ; Volume 3 , 2012 , Pages 2279-2282 ; 9781622767595 (ISBN) Mohammadi, S. H ; Sameti, H ; Langarani, M. S. E ; Tavanaei, A ; Sharif University of Technology
    A novel distance measure for distance-based speaker segmentation is proposed. This distance measure is nonparametric, in contrast to common distance measures used in speaker segmentation systems, which often assume a Gaussian distribution when measuring the distance between two audio segments. This distance measure is essentially a k-nearest-neighbor distance measure. Non-vowel segment removal in preprocessing stage is also proposed. Speaker segmentation performance is tested on artificially created conversations from the TIMIT database and two AMI conversations. For short window lengths, Missed Detection Rated is decreased significantly. For moderate window lengths, a decrease in both... 

    An innovative high performance pervious concrete with polyester and epoxy resins

    , Article Construction and Building Materials ; Volume 228 , 2019 ; 09500618 (ISSN) Tabatabaeian, M ; Khaloo, A ; Khaloo, H ; Sharif University of Technology
    Elsevier Ltd  2019
    Pervious concrete (PC) has been detecting application in pavement and concrete structures such as dams, small retaining walls, and etc during the past decades. Also, in recent years, the types of resins have been introduced to apply in concrete owing to the enhancing in mechanical and durability characteristics. However, few studies have investigated the mechanical behavior of high performance pervious concrete (HPPC) incorporated by polyester and epoxy resins as polymeric composites, where ordinary cement material has been completely deleted. The purpose of this investigation is to compare the mechanical properties, permeability, and durability of HPPCs made by polymeric composites (i.e....