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    Welcome to Binder: a kernel level attack model for the Binder in Android operating system

    , Article 2016 8th International Symposium on Telecommunications, IST 2016, 27 September 2016 through 29 September 2016 ; 2017 , Pages 156-161 ; 9781509034345 (ISBN) Salehi, M ; Daryabar, F ; Tadayon, M. H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    In this paper, we consider to seek vulnerabilities and we conduct possible attacks on the crucial and essential parts of Android OSs architecture including the framework and the Android kernel layers. As a regard, we explain the Binder component of Android OS from security point of view. Then, we demonstrate how to penetrate into the Binder and control data exchange mechanism in Android OS by proposing a kernel level attack model based on the hooking method. As a result, by implementing the attack model, it is illustrated that the Android processes are detectable and the data can be extracted from any process and system calls. © 2016 IEEE  

    A smart-phone based ratiometric nanoprobe for label-free detection of methyl parathion

    , Article Sensors and Actuators, B: Chemical ; Volume 322 , 2020 Fahimi Kashani, N ; Hormozi Nezhad, M. R ; Sharif University of Technology
    Elsevier B.V  2020
    The widespread use of pesticides in pest management has boosted the demands for developing highly sensitive probes for on-site monitoring. Herein we presented a sensitive enzyme-free ratiometric probe for determination of methyl parathion (MP), as an organophosphate pesticide using TGA-capped CdTe QDs and carbon dots (CDs). Unlike previous methods in which hydrolysis product of MP is instrumental in the response of the sensors, here, self-assembly of cetyltrimethylammonium bromide (CTAB) on the surface of non-modified yellow-emissive CdTe QDs facilitates the quenching of CTAB-QDs upon addition of MP while the fluorescence intensity of CDs remains constant. Using a smartphone, the ratiometric... 

    A GPS-based algorithm for brake and turn detection

    , Article International Journal of Intelligent Transportation Systems Research ; Volume 20, Issue 2 , 2022 , Pages 433-445 ; 13488503 (ISSN) Kazemeini, A ; Taheri, I ; Samimi, A ; Sharif University of Technology
    Springer  2022
    Driving behavior recognition is a notable topic in travel safety, as transportation and insurance companies could adopt effective tools to detect unsafe driving and internalize the associated costs. Different driving events and the related severity must be detected to distinguish abnormal behaviors. The global positioning system (GPS) provides useful information regarding the location of the vehicle at any time and is vastly used in various devices such as smartphones and GPS trackers. Other sensors, on the other hand, provide complementary valuable information but their implementation requires extra costs and more complex and intensive algorithms. We developed a threshold-based algorithm to... 

    A smartphone-based fluorescent electronic tongue for tracing dopaminergic agents in human urine

    , Article ACS Chemical Neuroscience ; Volume 12, Issue 17 , 2021 , Pages 3157-3166 ; 19487193 (ISSN) Shahdost Fard, F ; Bigdeli, A ; Hormozi Nezhad, M. R ; Sharif University of Technology
    American Chemical Society  2021
    The importance of tracing dopaminergic agents in the progression assessment of Parkinson's disease has boosted the demand for fast, sensitive, and real-time multi-analyte detection. Herein, visual and fingerprint fluorimetric patterns have been created by an optical sensor array to simultaneously detect and discriminate among levodopa, carbidopa, benserazide, and entacapone, as important dopaminergic agents. A dual emissive nanoprobe consisting of red quantum dots and blue carbon dots with an overall pink emission has been fabricated to provide unique emission patterns in the presence of the target analytes. The sensor elements in the array come from it's differential response in the absence... 

    Persian large vocabulary name recognition system (FarsName)

    , Article 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 1580-1583 ; 9781509059638 (ISBN) Hajitabar, A ; Sameti, H ; Hadian, H ; Safari, A ; Sharif University of Technology
    There has been no isolated word recognition database for the Persian language so far. In this paper we introduce FarsName dataset which contains 20 thousands isolated-word Persian utterances spoken by 226 speakers from all regions of the country each saying an average of 88 Persian names. There is a total of 5235 unique names in this dataset. Various cell phone brands have been used to record this dataset. This indicates the high diversity of the utterances in this dataset. We have been able to achieve 10.34% WER on this set using Kaldi. This is a very good performance considering the recording environment have been normal and potentially noisy. © 2017 IEEE  

    Smartphone-based portable device for rapid and sensitive pH detection by fluorescent carbon dots

    , Article Sensors and Actuators A: Physical ; Volume 332 , 2021 ; 09244247 (ISSN) Ehtesabi, H ; Asadollahi, A ; Hallaji, Z ; Goudarzi, M ; Rezaei, A ; Sharif University of Technology
    Elsevier B.V  2021
    In the past few years, most studies have focused on smart substances that can respond to changes in the environment, as they can be appropriately applied in different fields, including biosensing, biotechnology, and drug delivery. Here, new fluorescent carbon dots (CDs) are synthesized by Terebinth by designing a simple and single-stage hydrothermal path, which facilitates the manufacture of CDs with no need for boring artificial methods, or using poisonous/costly solvents and starting substances. The method is used to concurrently form CDs and passivate their surface, which results in inherently emitted fluorescence. The study of the structure and optical features of the resulting CDs... 

    Chlorophyll-based wicking sensing bioplatform coupled with a smartphone-based sample-to-answer analytical device for on-site detection of picric acid

    , Article Biosensors and Bioelectronics: X ; Volume 11 , 2022 ; 25901370 (ISSN) Shafizadeh, M ; Abbasi Moayed, S ; Hamzei, Z ; Keshavarz, A ; Yousefi, S ; Hormozi Nezhad, M. R ; Golmohammadi, H ; Sharif University of Technology
    Elsevier Ltd  2022
    The development of inexpensive, equipment-free, portable, and user/environmentally-friendly analytical devices that can be efficiently utilized for on-site detection of PA is still a great challenge. To address these unmet demands, we have developed a smartphone-based disposable sensing bioplatform through immobilization of chlorophyll in a cotton thread for fluorescent monitoring of picric acid (PA). The fluorescence quenching of chlorophyll upon increasing the PA concentration based on the inner filter effect was considered as the sensing strategy in the developed sensor. The fabricated thread-based microfluidic sensing bioplatform was further coupled with a compact, low cost, portable,... 

    Optimal exposure detection function for digital and smart-phone camera applications

    , Article Digest of Technical Papers - IEEE International Conference on Consumer Electronics ; 2012 , Pages 149-150 ; 0747668X (ISSN) ; 9781457702310 (ISBN) Yousefi, S ; Rabiee, H. R ; Mianjy, P ; Sharif University of Technology
    Auto-Exposure detection is a key feature in digital cameras and smart-phones. The image information can be used to detect scene over and under exposure passively. This paper introduces an effective optimal exposure detection function based on joint probability density function of the pixels in the scene  

    A robust sparse representation based face recognition system for smartphones

    , Article 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings, 12 December 2015 ; 2015 ; 9781509013500 (ISBN) Abavisani, M ; Joneidi, M ; Rezaeifar, S ; Baradaran Shokouhi, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Many research works have been done in face recognition during the last years that indicates the importance of face recognition systems in many applications including identity authentication. In this paper we propose an approach for face recognition which is suitable for unconstrained image acquisition and has a low computational cost. Since in practical applications such as in smartphones, imaging conditions are not limited to existing images in the database, robustness of the recognition algorithm is very important. Here a sparse representation framework is proposed which achieves some degree of robustness. Using double sparse representation the high computational cost of sparsity-based... 

    Cross platform web-based smart tourism using deep monument mining

    , Article 4th International Conference on Pattern Recognition and Image Analysis, IPRIA 2019, 6 March 2019 through 7 March 2019 ; 2019 , Pages 190-194 ; 9781728116211 (ISBN) Etaati, M ; Majidi, B ; Manzuri, M. T ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Tourism is one of the largest sources of economic revenue for many countries around the world. The historical and cultural treasures of Iran made it one the main destinations for international tourists. One of the biggest problems encountered by the tourists during the visit to monuments of Iran is the lack of information about the visited landmark. Given that cameras can be found in all of the smart phones, the use of the landmark's photos can be very important for obtaining information about the tourism sites. The detection of the landmarks in an image taken by the mobile phone camera can be a very complex task depending on the angle and the light situation in which the photo is taken. In... 

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    , Article Journal of Intelligent Transportation Systems: Technology, Planning, and Operations ; 2022 ; 15472450 (ISSN) Zarei Yazd, M ; Taheri Sarteshnizi, I ; Samimi, A ; Sarvi, M ; Sharif University of Technology
    Taylor and Francis Ltd  2022
    Driving behavior monitoring by smartphone sensors is one of the most investigated approaches to ameliorate road safety. Various methods are adopted in the literature; however, to the best of our knowledge, their robustness to the prediction of new unseen data from different drivers and road conditions is not explored. In this paper, a two-phase Machine Learning (ML) method with taking advantage of high-pass, low-pass, and wavelet filters is developed to detect driving brakes and turns. In the first phase, accelerometer and gyroscope filtered time series are fed into Random Forest and Artificial Neural Network classifiers, and the suspicious intervals are extracted by a high recall. Following... 

    MVC app: A smartphone application for performing chemometric methods

    , Article Chemometrics and Intelligent Laboratory Systems ; Volume 147 , October , 2015 , Pages 105-110 ; 01697439 (ISSN) Parastar, H ; Shaye, H ; Sharif University of Technology
    Elsevier  2015
    In this work, a novel smartphone application entitled ". MVC app" is developed to perform different multivariate calibration methods. This app is designed for chemists who are not expert in programming or in advanced statistics. The developed application can use any Android-powered device as an environment for running. It is an easy to use app which can simply install in your smartphone and play. Different multivariate calibration methods, such as multiple linear regression (MLR), principal component regression (PCR) and partial least squares (PLS) are included in this app. As an instance, for performing PLS modeling, first calibration and validation data sets are imported (via USB or... 

    GOPA: geometrical optics positioning algorithm

    , Article 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, 11 January 2019 through 13 January 2019 ; Volume 2019-January , 2019 ; 9781538679104 (ISBN) Hosseinianfar, H ; Chizari, A ; Salehi, J. A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    In this paper, we propose an accurate visible light indoor localization system for a smartphone using the commercial light-emitting diode (LED) panels which are used primarily for lighting. Each of designed lighting panel contains a space-colorcoded identifier, a matrix with a unique pattern of spatially separated colored LEDs, for labeling different positioning cells while the lighting color is kept white by balancing the number of different sets of colored LEDs. The advantage of this idea is that we do not use the time-frequency domain of visible light communication (VLC) networks resources for positioning signaling. Our positioning technique called geometrical optics positioning algorithm... 

    Involving computer science students in real-world problems

    , Article ITI 2008 30th International Conference on Information Technology Interfaces, Cavtat/Dubrovnik, 23 June 2008 through 26 June 2008 ; 2008 , Pages 569-573 ; 13301012 (ISSN) ; 9789537138127 (ISBN) Shirali Shahreza, S ; Shirali ShahrezaMohammad, M ; Sharif University of Technology
    Today, many students are study computer science. Although they study different courses, they rarely do homework or projects related to real world problems. In this paper, we design a project to show some of the problems which are occured during implementing a real word project to the students. In this project, the students are asked to implement the FFT (Fast Fourier Transform) algorithm on a personal computer and then port the program to a smartphone using J2ME (Java 2 Micro Edition) programming language. By doing this project, the undergraduate computer science students will become familiar with the limitations of small devices such as smartphones. They also learn the process of porting a... 

    Toward visual chiral recognition of amino acids using a wide-range color tonality ratiometric nanoprobe

    , Article Analytica Chimica Acta ; Volume 1231 , 2022 ; 00032670 (ISSN) Jafar Nezhad Ivrigh, Z ; Fahimi Kashani, N ; Morad, R ; Jamshidi, Z ; Hormozi Nezhad, M. R ; Sharif University of Technology
    Elsevier B.V  2022
    Chiral recognition has long been a challenging issue to deal with in biological systems, drug design and food authentication. Implementing nanoparticle-based probes with intrinsic or induced chirality in this field has addressed several issues concerning sensitivity, reliability, rapidness and the cost of chiral sensing platforms. Yet, research into chiral nanoprobes that can be used for visual monitoring of chiral substances is still in its infancy. As part of this study, a visual chiral recognition platform has been developed in which a combination of blue-emitting carbon dots (BCDs) and mercaptopropionic acid-capped CdTe quantum dots (MPA-QDs) with inherent chiroptical activity were... 

    Clinical validation of a smartphone-based handheld ECG device: A validation study

    , Article Critical Pathways in Cardiology ; Volume 21, Issue 4 , 2022 , Pages 165-171 ; 1535282X (ISSN) Ahmadi-Renani, S ; Gharebaghi, M ; Kamalian, E ; Hajghassem, H ; Ghanbari, A ; Karimi, A ; Mansoury, B ; Dayari, M. S ; Khatmi Nemati, M ; Karimi, A ; Zarghami, M. H ; Vasheghani Farahani, A ; Sharif University of Technology
    Lippincott Williams and Wilkins  2022
    Background: Remote cardiac monitoring and screening have already become an integral telemedicine component. The wide usage of several different wireless electrocardiography (ECG) devices warrants a validation study on their accuracy and reliability. Methods: Totally, 300 inpatients with the Nabz Hooshmand-1 handheld ECG device and the GE MAC 1200 ECG system (as the reference) were studied to check the accuracy of the devices in 1 and 6-limb lead performance. Simultaneous 10-second resting ECGs were assessed for the most common ECG parameters in lead I. Afterward, 6-lead ECGs (limb leads), were performed immediately and studied for their morphologies. Results: Of the 300 patients, 297 had...